#Massively Multilingual Speech system

[richdadpoor]

Meta Releases SeamlessM4T Translation AI for Text and Speech

Meta took a step towards a universal language translator on Tuesday with the release of its new Seamless M4T AI model, which the company says can quickly and efficiently understand language from speech or text in up to 100 languages and generate translation in either mode of communication. Multiple tech companies have released similar advanced AI translation models in recent months. In a blog…

[johnmathewblog]

Audio Analytics with OpenAI: How Whisper Transforms Audio into Insights

Source: https://www.latentview.com/blog/audio-analytics-with-openai-how-whisper-transforms-audio-into-insights/

Ever feel overwhelmed by the avalanche of audio content bombarding you daily? Podcasts pile up, meeting recordings linger in your inbox, and that fascinating lecture you missed is trapped in a video file. The sheer volume of spoken information can be paralyzing, leaving you yearning for a way to capture its essence without drowning in the details. Well, there’s a way. OpenAI’s Whisper can instantly transcribe any audio file with pinpoint accuracy and generate concise summaries of hour-long audio files, extracting the key points with effortless ease. 

Whisper: An Open AI Model for Text-to-Speech Conversion

Whisper’s strength lies in its advanced neural network architecture and access to a massive dataset of diverse audio and text. This translates into several key features:

Multilingual Capabilities: Break down language barriers and analyze content in numerous languages, from casual conversations to technical jargon.

Transcription Accuracy: Minimize errors and ensure near-flawless transcripts, ideal for research, legal proceedings, and accessibility purposes.

Domain Adaptability: Accurately transcribe lectures, interviews, and even technical recordings with high fidelity.

How It Works

Whisper utilizes the Transformer architecture, a neural network with attention mechanisms for learning relationships between input and output sequences. It comprises two key components: an encoder and a decoder.

The encoder processes audio input, converting it into 30-second chunks, transforming it into a log-Mel spectrogram, and encoding it into hidden vectors.

The decoder takes these vectors and predicts the corresponding text output. It employs special tokens for various tasks like language identification, phrase-level timestamps, multilingual speech transcription, and to-English speech translation.

Why It Is Better

Whisper has several advantages over existing TTS (Text-to-speech) systems. 

Trained on a diverse dataset of 680,000 hours of audio and text, covering various domains, accents, background noises, and technical languages.

Handles multiple languages and tasks with a single model, automatically identifying the language of input audio and switching tasks accordingly.

Demonstrates high accuracy and performance in speech recognition, outperforming specialized models on diverse datasets.

A Sample Application (Audio to Text Summarization using Whisper and BART)

We implemented the Whisper Model to transcribe and summarize video/audio content using OpenAI’s BART summarization models. This functionality can be invaluable for transcribing meeting notes, call recordings, or any videos/audio, saving considerable time.

Approach:

Develop UI using Streamlit, providing a YouTube URL as input.

Use Pytube to extract audio from the video file.

Use the Whisper model to transcribe the audio into text.

Use the BartTokenizer/TextDavinci Model to segment the text into chunks.

Use the Bart Model to summarize the chunks and generate an output.

Sample output:

Limitations of Whisper

While Whisper is a powerful audio analytics solution, it has some limitations:

Works better on GPU machines.

Hallucinations may occur during extended audio silence, confusing the decoder.

Limited to processing 30 seconds of audio at a time.

Use Cases Across Industries

Whisper’s applications extend far beyond simple transcription. Here are just a few examples:

Transcription Services: Businesses can leverage Whisper’s API to offer fast, accurate, and cost-effective transcriptions in various languages, catering to a diverse clientele.

Language Learning: Practice your accent refinement by comparing your speech to Whisper’s flawless outputs.

Customer Service: Analyze customer calls in real time, understand their needs, and improve service based on their feedback.

Market Research: Gather real-time feedback from customer interviews, focus groups, and social media mentions, extracting valuable insights that inform product development and marketing strategies.

Voice-based Search: Develop innovative voice-activated search engines that understand and respond to users in multiple languages.

Conclusion:

OpenAI’s Whisper represents a significant leap forward in audio understanding, empowering individuals and businesses to unlock the wealth of information embedded within spoken words. With its unparalleled accuracy, multilingual capabilities, and diverse applications, Whisper can reshape how we interact with and extract value from audio content.

[govindhtech]

Safety Innovations: Speech AI in Automotive

Smartphones make product searches and home delivery simpler than ever. Video chatting with faraway family and friends is simple. AI assistants can play music, make calls, and recommend the best Italian cuisine within 10 miles using voice commands. Before purchase, AI may suggest apps or books.

Naturally, consumers want fast, tailored service. Salesforce observed that 83% of customers want rapid business interactions and 73% want understanding. Self-service outperforms customer service 60%.

Speech AI can help any industry fulfill high customer expectations that strain employees and technology.

Speech AI speaks natural language for multilingual consumer interactions and labor efficiency. Self-service banking, food kiosk avatars, clinical note transcription, and utility bill payments may be customized.

Speech AI for Banking and Payments

Most clients use digital and traditional banking channels, thus multichannel, personalized service is essential. Many financial institutions disappoint clients owing to excessive assistance demand and agent turnover.

Customer complaints include complex digital procedures, a lack of useful and publicly accessible information, inadequate self-service, excessive phone wait times, and support agent communication concerns.

NVIDIA found that financial businesses employ AI for NLP and large language models. The models automate customer service and handle massive unstructured financial data for AI-driven financial institution risk management, fraud detection, algorithmic trading, and customer care.

Speech-enabled self-service and AI-powered virtual assistants may improve customer happiness and save banks money. Voice assistants may learn finance-specific lingo and rephrase before responding.

Kore.ai taught BankAssist 400+ retail banking IVR, internet, mobile, SMS, and social media use cases. Voice assistants change passwords, transfer money, pay bills, report missing cards, and challenge charges.

Kore.ai’s agent voice assistant lets live agents handle issues quicker with innovative solutions. The solution cuts customer handling time by 40% and increases live agent efficiency by $2.30/call.

Financial companies will speak quicker. AI deployment to enhance customer service, minimize wait times, increase self-service, transcribe conversations to accelerate loan processing and automate compliance, extract insights from spoken information, and raise productivity and speed.

Speech AI for Telecom

To monetise 5G networks, telecom needs customer pleasure and brand loyalty due to high infrastructure costs and severe competition.

NVIDIA polled 400+ telecom experts and discovered that AI enhances network efficiency and customer experience. AI increased respondents’ income 73%.

Voice AI chatbots, call-routing, self-service, and recommender systems enhance telecom customer experiences.

LLM-speaking intelligent voice assistant GiGa Genie released by KT with 22 million consumers. Over 8 million users have talked to it.

GiGA Genie AI speaker voice commands turn on TVs, send SMS, and deliver traffic information.

Change-based speech AI processes 100,000 calls everyday at KT’s Customer Contact Center. Generative AI answers difficult queries or clients.

Telecommunications firms anticipate speech AI to boost self-service, network performance, and customer happiness.

Fast-Food Speech AI

The 2023 food service sector will earn $997 billion and 500,000 employment. Drive-thru, curbside, and home delivery are changing eating. This shift involves recruiting, training, and retaining high-turnover workers while meeting customer speed expectations.

AI food kiosks provide voice and drive-thrus services. Meals, promotions, changes, and orders are avatars.

The Toronto-based NVIDIA Inception member HuEx designed a multilingual drive-thru order assistance. AIDA tracks drive-thru speaker box meal prep orders.

AIDA accurately recognizes 300,000+ product combinations, from “coffee with milk” to “coffee with butter,” with 90% accuracy. Accent and dialect recognition facilitates grouping.

Speech AI speeds up order fulfillment and lowers confusion. AI will collect customer data via spoken encounters to improve menus, upsells, and operational efficiency while lowering early adopter expenses.

Speech AI for Healthcare

Digital healthcare grows post-pandemic. Telemedicine and computer vision provide remote patient monitoring, voice-activated clinical systems offer zero-touch check-in, and speech recognition enhances clinical documentation. Digital patient care assistants were utilized by 36% of respondents, according IDC.

The NLP and medical voice recognition systems summarize vital data. At the Conference for Machine Intelligence in Medical Imaging, a speech-to-text NVIDIA pretrained architecture recovered clinical entities from doctor-patient dialogues. Automatically update medical records with symptoms, medications, diagnosis, and therapy.

New technologies may accelerate insurance, billing, and caregiver interactions instead of taking notes. Patients may benefit from doctors who concentrate on treatment without administrative duties.

Hospital AI platform Artisight uses speech synthesis to alert waiting room patients of doctor availability and voice recognition for zero-touch check-ins. Artisight kiosk registration, patient experiences, data input mistakes, and staff efficiency benefit 1,200 people daily.

Speech AI allows smart hospital physicians treat patients without touching them. Clinical note analysis for risk factor prediction and diagnosis, multilingual care center translation, medical dictation and transcription, and administrative task automation are examples.

Voice-AI Energy

Rising renewable energy demand, high operating costs, and a retiring workforce drive energy and utility companies to do more with less.

Speech AI helps utilities anticipate energy, improve efficiency, and please consumers. Voice-based customer service enables consumers report issues, inquire about bills, and obtain assistance without staff. Meter readers use spoken AI, field personnel retrieve repair orders with comments, and utilities use NLP to assess client preferences.

Retail energy-focused AI assistant Live customer help is transcribed by Minerva CQ. Text-based Minerva CQ AI systems measure consumer sentiment, purpose, inclination, etc.

The AI assistant actively listens to agents and delivers conversation advice, behavioral indications, tailored offers, and sentiment analysis. A knowledge-surfacing tool lets agents advise customers on energy consumption history and decarbonization.

The AI assistant simplifies energy sources, tariff plans, billing changes, and optimum expenditure so customer service can recommend the correct energy plan. Minerva CQ cut call processing time by 44%, enhanced first-contact resolution by 12.5%, and saved one utility $2.67 each call.

Speech AI will reduce utility company training costs, customer service friction, and field worker voice-activated device usage, improving productivity, safety, and customer satisfaction.

The Public Sector AI Speech and Translation

Waiting for vital services and information frustrates underfunded and understaffed governmental organizations. Speech AI accelerates state and federal services.

FEMA monitors distress signals, conducts hotlines, and helps with speech recognition. An interactive voice response system and virtual assistants enable the US Social Security Administration answer benefits, application, and general information queries.

VA has an AI healthcare system integration director. The VA employs voice recognition for telemedicine notes. A powerful artificial speech transcription detects cognitive decline in elderly neuropsychological testing.

Citizens, public events, and diplomats may use voice AI for real-time language translation. Voice-based interfaces allow public organizations with numerous callers to provide information, questions, and services in several languages.

Words and translation AI can transcribe multilingual audio or spoken information into text to automate document processing and improve data accuracy, compliance, and administrative efficiency. Speech AI may aid the blind and crippled.

Automotive Speech AI

From automobile sales to service scheduling, speech AI may help manufacturers, dealerships, drivers, and passengers.

Over half of auto purchasers research dealerships online and via phone. Self-taught AI chatbots answer tech, navigation, safety, warranty, maintenance, and more. Talkbots list cars, schedule test drives, and answer price queries. Smart and automated client experiences differentiate dealership networks.

Automotive makers are integrating sophisticated speech AI to vehicles and apps to enhance safety, service, and driving. For navigation, entertainment, automobile diagnostics, and guidance, the AI assistant may employ natural language speech. Drivers concentrate without touchscreens or controls.

Speech AI may boost commercial fleet uptime. AI trained on technical service bulletins and software update cadences lets professionals estimate repair costs, uncover vital information before lifting the vehicle, and promptly update commercial and small business clients.

Problem reporting and driver voice instructions may enhance automobile software and design. Self-driving vehicles will run, diagnose, call for assistance, and schedule maintenance as speech AI improves.

AI Speech for Smart Spaces and Entertainment

Speech AI may impact most sectors

Intelligent City voice AI alerts emergency responders about dangers. The UNODC is developing speech AI software to analyze 911 calls to prevent Mexico City female violence. AI can recognize distress call words, indications, and patterns to prevent domestic abuse against women. Speech AI may help multilingual and blind public transit.

Students and researchers save time by having voice AI transcribe university lectures and interviews. Voice AI translation facilitates multilingual teaching.

Online entertainment in every language is simpler with LLM-powered AI translation. Netflix AI reads subtitles. Papercup automates video dubbing using AI to reach global audiences in their original languages.

Transforming Products and Services with Speech AI

Companies must provide easy, customized client experiences in the new consumer environment. NLP and voice AI might change global business and consumer relationships.

Speech AI provides fast, multilingual customer service, self-help, knowledge, and automation to workers across industries.

NVIDIA serves all sectors with speech, translation, and conversational AI

The GPU-accelerated multilingual speech and translation AI software development kit NVIDIA Riva supports real-time voice recognition, text-to-speech, and neural machine translation pipelines.

Tokkio uses NVIDIA Omniverse Avatar Cloud Engine, AI customer service virtual assistants, and digital people.

These technologies enable high-accuracy, real-time app development to enhance employee and customer experiences.

[aialgorithmicartuofw]

Week 11 - ISEA Paris Week May 17-23

Photo by Alain Thibault

Group 1

MMS: Massively Multilingual Speech. - Can do speech2text and text speech in 1100 languages. - Can recognize 4000 spoken languages. - Code and models available under the CC-BY-NC 4.0 license. - half the word error rate of Whisper.

Github

https://github.com/facebookresearch/fairseq/tree/main/examples/mms

Paper

https://scontent-lga3-2.xx.fbcdn.net/v/t39.8562-6/348836647_265923086001014_687800580827579[…]GkLV3haLgAXkFFhYmxMG8D9J2WV1hKDqYAQNPW4-4g&oe=6471ACCF

Blog

https://ai.facebook.com/blog/multilingual-model-speech-recognition/?utm_source=twitter&utm_medium=organic_social&utm_campaign=blog&utm_content=cardMeta AI

Group 2

Using .skn skin file as model texture  · Issue #128 · deepmind/mujoco

https://github.com/deepmind/mujoco/issues/128

Infusion Systems

https://infusionsystems.com/catalog/product_info.php/products_id/693

SAC Algorithm

https://github.com/rail-berkeley/rlkit/blob/master/examples/sac.py

TDMPC

https://github.com/nicklashansen/tdmpc

Temporal Differences

https://www.youtube.com/watch?v=s-y_110sTTA

Group 3

Facial EMG and Reactions

https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1469-8986.1990.tb01962.x

Wiki

https://en.wikipedia.org/wiki/Facial_electromyography

VR Touch and Emotions

(PDF) Touching Virtual Humans: Haptic Responses Reveal the Emotional Impact of Affective Agents PDF | Interpersonal touch is critical for social-emotional development and presents a powerful modality for communicating emotions. 

Stability AI Released Stability Studio

https://stability.ai/blog/stablestudio-open-source-community-driven-future-dreamstudio-release

OSC Into Touch Designer

https://infusionsystems.com/catalog/info_pages.php?pages_id=181

Synaptogenesis

https://www.youtube.com/watch?v=1fnm1vGGRYI&t=12s

Class Notes

Open AI’s Sam Altman urges AI Regulation

https://www.nytimes.com/2023/05/16/technology/openai-altman-artificial-intelligence-regulation.html

Supreme Court Rules Against Andy Warhol in Prince Case

https://www.nytimes.com/2023/05/18/us/supreme-court-warhol-copyright.html

https://hyperallergic.com/822888/supreme-court-rules-against-andy-warhol-foundation-in-lynn-goldsmith-copyright-case/

German Artist Michael Moebius Wins $120 Million in a 'Monumental' Lawsuit Against Hundreds of Foreign Counterfeiters | Artnet News

https://news.artnet.com/art-world/artist-michael-moebius-wins-monumental-copyright-l[…]0PM&utm_term=Daily%20Newsletter%20%5BALL%5D%20%5BAFTERNOON%5D

Inferno

https://www.youtube.com/watch?v=sGIbZ5DD4fY

Meta slapped with record $1.3 billion EU fine over data privacy

https://edition.cnn.com/2023/05/22/tech/meta-facebook-data-privacy-eu-fine/index.html

Ellen Waving From ISEA 2023 Paris

https://www.youtube.com/shorts/S9nxI7XTHhI

[sciforce]

Google’s BERT changing the NLP Landscape

We write a lot about open problems in Natural Language Processing. We complain a lot when working on NLP projects. We pick on inaccuracies and blatant errors of different models. But what we need to admit is that NLP has already changed and new models have solved the problems that may still linger in our memory. One of such drastic developments is the launch of Google’s Bidirectional Encoder Representations from Transformers, or BERT model — the model that is called the best NLP model ever based on its superior performance over a wide variety of tasks.

When Google researchers presented a deep bidirectional Transformer model that addresses 11 NLP tasks and surpassed even human performance in the challenging area of question answering, it was seen as a game-changer in NLP/NLU.

BERT model at a glance

BERT comes in two sizes: BERT BASE, comparable to the OpenAI Transformer and BERT LARGE — the model which is responsible for all the striking results.

BERT is huge, with 24 Transformer blocks, 1024 hidden layers, and 340M parameters.

BERT is pre-trained on 40 epochs over a 3.3 billion word corpus, including BooksCorpus (800 million words) and English Wikipedia (2.5 billion words).

BERT runs on 16 TPU pods for training.

As input, BERT takes a sequence of words which keep flowing up the stack. Each layer applies self-attention, and passes its results through a feed-forward network, and then hands it off to the next encoder.

The output of each position is a vector of size called hidden_size (768 in BERT Base). This vector can be used as the input for a classifier you choose.

The fine-tuned model for different datasets improves the GLUE benchmark to 80.5 percent (7.7 percent absolute improvement), MultiNLI accuracy to 86.7 percent (4.6 percent absolute improvement), the SQuAD v1.1 question answering Test F1 to 93.2 (1.5 absolute improvement), and so on over a total of 11 language tasks.

Theories underneath

BERT builds on top of a number of clever ideas that have been bubbling up in the NLP community recently — including but not limited to Semi-supervised Sequence Learning (by Andrew Dai and Quoc Le), Generative Pre-Training, ELMo (by Matthew Peters and researchers from AI2 and UW CSE), ULMFiT (by fast.ai founder Jeremy Howard and Sebastian Ruder), the OpenAI transformer (by OpenAI researchers Radford, Narasimhan, Salimans, and Sutskever), and the Transformer (by Vaswani et al). However, unlike previous models, BERT is the first deeply bidirectional, unsupervised language representation, pre-trained using only a plain text corpus.

Two Pillars of BERT

BERT builds on two key ideas that paved the way for many of the recent advances in NLP:

the transformer architecture, and

unsupervised pre-training.

Transformer Architecture

The Transformer is a sequence model that forgoes the sequential structure of RNN’s for a fully attention-based approach. Transformers boast both training efficiency and superior performance in capturing long-distance dependencies compared to the recurrent neural network architecture that falls short on long sequences. What makes BERT different from OpenAI GPT (a left-to-right Transformer) and ELMo (a concatenation of independently trained left-to-right and right- to-left LSTM), is that the model’s architecture is a deep bidirectional Transformer encoder.

A bidirectional encoder consists of two independent encoders: one encoding the normal sequence and the other the reversed sequence. The output and final states are concatenated or summed. The deep bidirectional encoder is an alternative bidirectional encoder where the outputs of every layer are summed (or concatenated) before feeding them to the next layer. However, it is not possible to train bidirectional models by simply conditioning each word on its previous and next words, since this would allow the word that’s being predicted to indirectly “see itself” in a multi-layer model — the problems that prevented researchers from introducing bidirectional encoders to their models. BERT’s solution to overcome the barrier is to use the straightforward technique of masking out some of the words in the input and then condition each word bidirectionally to predict the masked words.

Unsupervised pre-training

It is virtually impossible to separate the two sides of BERT. Apart from being bidirectional, BERT is also pre-trained. A model architecture is first trained on one language modeling objective, and then fine-tuned for a supervised downstream task. The model’s weights are learned in advance through two unsupervised tasks: masked language modeling (predicting a missing word given the left and right context in the Masked Language Model (MLM) method) and the binarized next sentence prediction (predicting whether one sentence follows another). Therefore, BERT doesn’t need to be trained from scratch for each new task; rather, its weights are fine-tuned.

Why does this combination matter?

Aylien Research Scientist Sebastian Ruder says in his blog that pre-trained models may have “the same wide-ranging impact on NLP as pretrained ImageNet models had on computer vision.” However, pre-trained representations are not homogeneous: they can either be context-free or contextual, and contextual representations can further be unidirectional or bidirectional. While context-free models such as word2vec or GloVe generate a single word embedding representation for each word in the vocabulary, contextual models generate a representation of each word that is based on the other words in the sentence. The bidirectional approach in BERT represents each word using both its previous and next context starting from the very bottom of a deep neural network, making it deeply bidirectional.

The pre-trained model can then be fine-tuned on small-data NLP tasks like question answering and sentiment analysis, and significantly improve the accuracy compared to training from scratch.

Visualizing BERT

Deep-learning models in general are notoriously opaque, and various visualization tools have been developed to help make sense of them. To understand how BERT works, it is possible to visualize attention with the help of Tensor2Tensor.

The tool visualizes attention as lines connecting the position being updated (left) with the position being attended to (right). Colors identify the corresponding attention head(s), while line thickness reflects the attention score. At the top of the tool, the user can select the model layer, as well as one or more attention heads (by clicking on the color patches at the top, representing the 12 heads).

Open-source

Soon after the release of the paper describing the model, the team also open-sourced the code of the model, and made available for download versions of the model that were already pre-trained on massive datasets. These span BERT Base and BERT Large, as well as languages such as English, Chinese, and a multilingual model covering 102 languages trained on wikipedia. Thanks to this invaluable gift, anyone can now build a machine learning model involving language processing to use this powerhouse as a readily-available component — saving time, energy, knowledge, and resources.

The best way to try out BERT directly is through the BERT FineTuning with Cloud TPUs notebook hosted on Google Colab. Besides, it is a good starting point to try Cloud TPUs.

Afterwards you can proceed to the BERT repo and the PyTorch implementation of BERT. On top of it, the AllenNLP library uses this implementation to allow using BERT embeddings with any model.

BERT in practice

BERT was one of our top choices in CALLv3 shared task (the text subtask of which we have actually won). The Spoken CALL Shared Task is an initiative to create an open challenge dataset for speech-enabled CALL(computer-assisted language learning) systems. It is based on data collected from a speech-enabled online tool that helps Swiss German teens practice skills in English conversation.The task is to label pairs as “accept” or “reject”, accepting responses which are grammatically and linguistically correct.

We used BERT embeddings to classify the students’ phrases as correct or incorrect. More specifically, we used its multi_cased_L-12_H-768_A-12 model trained on Wikipedia and the BookCorpus.

From BERT, we obtained a 768-dimensional vector for each phrase from the dataset. We used German prompts translated using the Google Translate service and the corresponding English answers concatenated via ′|||′ as inputs. This approach turned out to work well in our case. Used in combination with the nnlm model, BERT showed the second best result in our experiments. Besides, we did not perform finetuning because of the scarcity of the data set. However, we believe that with the sufficient amount of data, finetuning of BERT can yield even better results.

Our experiments reconfirmed that the BERT model is a powerful tool that can be used in such a sentence pair tasks as question answering and entailment.

Epilogue: the future is exciting

While we were writing this post, a news came that the Facebook AI team released their code for the XLM/mBERT pretrained models that cover over 100 languages. All code is built on top of PyTorch and you can directly start playing around with the models with a provided ipython notebook. The new method called XLM, published in this year’s paper, provides a technique to pretrain cross-lingual language models based on the popular technique of Transformers. The recent release, therefore, means you can now use pretrained models or train your own to perform machine translation and cross-lingual classification using the above languages and transfer it to low-resource languages, addressing the long-standing problem.

[audrearicker-blog]

Convert Video And Audio To Numerous Codecs For Different Devices

One of many many understated features in Mac OS X is the flexibility to natively convert audio to m4a immediately in the OS X Finder - with none additional downloads or add-ons. Since I discovered this I thought it would be an awesome concept to share with others who may be thinking about changing information and do not need to spend the money to purchase a devoted conversion program. You probably have any comments, questions, or know of another free program like VLC to transform files please share it with us and remark below. Step 1: Launch iTunes DRM Audio Converter on Mac. And then click Add button to add any music file you wish to convert to WAV. Whole Audio Converter can get audio tracks from YouTube movies - just paste the url.

WMA, or Home windows Media Audio, is out there in lossy and m4a mp3 video converter free download lossless WMA formats, which gives listeners some choice. Usually, WMA files are smaller than their uncompressed counterparts, and related in performance to MP3s and FLAC information. Although WMA gives versatility, it is not suitable with all units, particularly Apple units. It's doable to stream audio in WMA format, however i major streaming providers don't use it. Fortuitously, for the average listener, this format sounds good over Bluetooth. Only vital ears would hear a distinction in high quality. One of the best ways to convert M4A audio files to MP3 without any high quality loss is by utilizing iSkysoft iMedia Converter Deluxe This skilled media converter is built with an audio converter that helps completely different audio varieties. The supported audio varieties include MP3, M4A, WMA, AC3, AA, AAX AAC, WAV, OGG, AIFF, MKA, AU, M4B, FLAC, APE, M4R, and M4P. It can simply upload the audio files and convert them in a batch. Apart from audio conversion, iSkysoft iMedia Converter Deluxe also can convert standard video information, HD movies and on-line Movies. It helps many file formats thus making it a great media converter to use. Its person interface is multilingual and it's fairly straightforward to make use of.

Leawo Music Recorder for Mac , appearing as skilled WAV to MP3 music recorder, could simply record WAV audio information and then save in MP3 format on Mac in order to comprehend the WAV to MP3 conversion in easy clicks. You solely have to play back WAV information in your Mac pc, then this WAV to MP3 recorder software program might file WAV to MP3 on Mac with little high quality loss. M4A - Extension of audio-only MPEG-four information. Very true of non-protected content material. Click on "Convert" button and begin to convert M4A to WAV, after a short time, all of the M4A audios will be converted to WAV recordsdata to permit you to freely get pleasure from. After conversion, you can get the WAV information for different units. Switch is without doubt one of the most stable, easy-to-use, and comprehensive multi format audio file converters obtainable. It is simple to use iTunes for M4A to WAV conversion. However, you'll be able to only convert M4A music recordsdata one after the other. When you have a whole lot of songs to convert to WAV, this technique will really waste your time. Then is there any handy approach to convert more than one M4A songs on the similar time? Keep reading. Notice that this command uses sed to parse output from ffprobe for each file, it assumes a 3-letter audio codec identify (e.g. mp3, ogg, aac) and will break with anything different.

All it's a must to do to get started is import a file, select the audio format, set the standard and http://www.audio-transcoder.com/how-to-convert-m4a-files-to-mp3 your file can be converted in a snap. Whether it's an audio ebook in M4A format, speech recordings in WAV file or music as OGG or FLAC, this software can rapidly and successfully converts your audio files in your Home windows LAPTOP. It's also possible to switch your optimized recordings with just one click on to your music administration program, such as MAGIX MP3 deluxe With Audio Cleansing Lab, you get the best method to convert M4A to MP3 and different varieties of audio formats. Strive it now totally free for the subsequent 30 days by downloading the free trial model. Go to the Free Obtain Web page from MAGIX. And you may right click on on any m4a file and select Send To -> (title of batch file) from the context menu. Again, change the trail to in your computer. But it surely's utter crap that the iTunes (Plus!) information are for ear buds (which might sound superior in case you pay it's worth) or computer audio system. I used them in membership setting and so they sound actually good (if not compared to lossless on a very good sound system). Click on drop-down arrow labeled Profile beneath the duty block, this could open a panel where you can pick the target audio format you need your APE music to be changed into from an inventory of a majority of format options. If you happen to're utilizing Music Supervisor or Google Play Music for Chrome to add music to your library, here are the forms of recordsdata you may upload. Edit Opus and every other audio format file, like trimming audio file, Merging separate audio files into one massive audio file, adjusting audio channel, bitrate, quantity, and many others. It is a tool developed by iSkysoft and is accessible for Windows. It's one other WAV to MP3 converter free. It helps several audio codecs including WAV, WMA, OGG, MP3, AIFF and more. It also consists of help for batch convert which is de facto helpful. When it comes to free software program that converts audio recordsdata, many people are understandably involved concerning the quality. This solution not only does the work shortly and without cost, but it also provides top quality outcomes with out decreasing the quality of the original file in any respect. All the supported codecs have their own settings so you may get the optimized results that you simply want. For instance, if you wish to have the very highest quality MP3 files in your audio machine, you should use the converter to keep the songs in skilled audio quality of as much as 320kbps.

As soon as the conversion is full, the link to obtain WAV file can be despatched to the e-mail you left in Step 4. Step 4: Click on "Convert" to convert your M4A file. MP3 information are of small size. They are often effortlessly distributed over the Internet, and massive music libraries saved on computers or music clouds. That is the essential reason why MP3 has grow to be a normal for buying music. Many M4A information are encoded with the Advanced Audio Coding (AAC) codec in order to reduce the size of the file. Some M4A files might as a substitute use the Apple Lossless Audio Codec (ALAC).

[gtssidata4]

Preparing Chatbots Through Quality AI Training Datasets

If you're in your house and need to locate some information fast however you don't have enough time to type in information on your smartphone So you call "Hey Alexa," and you ask for the information. Alexa will look over the information you provided and seek out the same information for you to come up with results. Then , she will speak the answer out loud to you. Your work is done. It's not necessary to write anything down.

How do you make it work? What can companies do to develop AI to be able to recognize our diverse dialects, languages and pronunciations? What is the best way to make this happen? The answer lies in Natural Language Processing. But how did it all begin?

All it takes is collecting speech-related data. In order to develop an AI model to recognize as well as interpret spoken words, top-quality speech data is fed to it. The more precise and high-quality the speech data is and the higher the quality, the more effectively the AI will be able to perform.

What is what is a Speech Dataset?

Speech Recognition Dataset, also known as Speech datasets are collections consisting of transcriptions and audio of speech. These are used to develop machine learning systems to recognize voice.

The transcriptions and audio recordings are later input into an algorithm for machine learning to ensure that the algorithm is able to recognize and comprehend the elements of speech.

To create a chatbot that is more efficient you must first create real-world, task-oriented dialogue data in order to efficiently educate the chatbot. Without this information the chatbot won't be able to answer user questions quickly or answer questions from users without human intervention.

In the process of developing an interactive system that can create real-time conversations between virtual and human agents We at iMerit have created an index of the most effective and popular datasets which are great for anyone who wants to build chatbots. Each entry on this list includes pertinent data, including customer support data, multilingual data dialog data, and answer-to-question data.

Question-Answer Datasets Chatbot Training

The WikiQA Corpus The WikiQA Corpus was made publically accessible in the year 2015 and has been revised several times since its creation. It includes a variety of sentences and questions that were initially collected

Questions-Answer Database The chatbot database was created for Academic research. It includes Wikipedia articles, as well as manually generated factoids derived from the articles. Also, it has manual-generated answers to the above-mentioned questions.

Dialogue Datasets to support Chatbot Training

Santa Barbara Corpus of Spoken American English: With approximately 249,000 words The Santa Barbara Corpus of Spoken American English contains audios, Audio Transcription as well as timestamps that are also able to effectively link transcription with audio at the level of the individual intonation units.

Semantic Web Interest Group IRC Chat Logs: The Semantic Web Intergest Group IRC Chat Logs are designed to be an automatic IRC chat log, which contains daily chat logs and the time stamps for each.

Multi-Domain Wizard-of Oz dataset (MultiWOZ): This massive human-human conversational corpus has the 8438 multi-turn conversations, each of which lasts 14 turns. It's different from other chatbot datasets since it has less than 10 slots , and only a handful of hundred values. Additionally, it covers a variety of domains like restaurants, hotels, attractions police, hospital, taxi and train.

The NPS Chat Corpus: Consisting of 10,567 posts that have been gathered from a collection of 500,000 posts from various online chat services, the NPS Chat Corpus was created for non-commercial/non-profit educational and research use. Each work is protected by copyright with respect to the original authors.

ConvAI2 Database Dataset gathered during the ConvAI2 contest This dataset contains more than 2000 dialogues that involve humans who were evaluators via crowdsourcing platforms to interact with bots.

What are the different types of Speech Recognition?

Generally, there are three kinds of speech recognition information:

The scripted Speech Data: The scripted speech data is thought to be one of the more controlled kind that speech information can be controlled.

In order to recognize speech, there can be two kinds of data such as scripted language commands, scripted words or both.

Examples of this could be, "Hey Google, switch on the lights", "Hey Google, shut off your fan" And many more.

If developers require speech samples that differ not according to what is said however, by the way in which they say it the speech samples that are scripted can be used.

Scenario-based Speech Data: The speech data based on scenarios is the one in which the users have to create their own instructions according to a particular scenario.

If you were given an opportunity to ask the assistant to guide you to the closest pharmacy. What instructions would you give to the pharmacist?

Examples of this could be "Take me to the closest pharmacy" or "Directions to the nearest pharmacy".

If developers require an unnatural sample of methods to request the same thing or to provide a greater variety of commands using scenario-based speech data, it is utilized.

Natural Speech Data or Unscripted Speech Data: In Natural or unscripted speech data, the speakers can speak in their natural tone of conversation in terms of language, pitch and the tenor. The data could be derived from recordings of calls, voice recordings, or other sources to better understand the dynamic of a multi-speaker dialogue.

What is the best way to let GTS assist you by providing Speech Dataset?

At GTS we recognize that there's no universal method to collect speech datasets. This is why we offer the highest-quality, accurate and customized AI Training Datasets that meet your requirements. We can provide assistance in over 200languages, which include English, French, German, Spanish, Portuguese, and many more.

Our team has the experience and expertise to manage any kind of project. Our quick and efficient customer service will ensure that you are in no doubt regarding your project.

[richdadpoor]

Meta Releases SeamlessM4T Translation AI for Text and Speech

Meta took a step towards a universal language translator on Tuesday with the release of its new Seamless M4T AI model, which the company says can quickly and efficiently understand language from speech or text in up to 100 languages and generate translation in either mode of communication. Multiple tech companies have released similar advanced AI translation models in recent months. In a blog…

[reportwire]

A Massively Multilingual Speech-to-Speech Translation Corpus

A Massively Multilingual Speech-to-Speech Translation Corpus

Posted by Ye Jia and Michelle Tadmor Ramanovich, Software Engineers, Google Research Automatic translation of speech from one language to speech in another language, called speech-to-speech translation (S2ST), is important for breaking down the communication barriers between people speaking different languages. Conventionally, automatic S2ST systems are built with a cascade of automatic speech…

[nuadox]

A dataset with 1000 words in 1000 different languages to make voice technology more inclusive

- By Nuadox Crew -

At team of researchers at the Harvard John A. Paulson School Of Engineering And Applied Sciences recently presented a new project which aims to build “a dataset with 1,000 words in 1,000 different languages to bring voice technology to hundreds of millions of speakers around the world”.

At the Neural Information Processing Systems conference last week, the team presented a diverse, multilingual speech dataset that spans languages spoken by over 5 billion people. Dubbed the Multilingual Spoken Words Corpus, the dataset has more than 340,000 keywords in 50 languages with upwards of 23.4 million audio examples so far.

To build the dataset, the team used recordings from Mozilla Common Voice, a massive global project that collects donated voice recordings in a wide variety of spoken languages, including languages with a smaller population of speakers. Through the Common Voice website, volunteer speakers are given a sentence to read aloud in their chosen language. Another group of volunteers listens to the recorded sentences and verifies its accuracy.

The researchers applied a machine learning algorithm that can recognize and pull keywords from recorded sentences in Common Voice.

When the researchers compared the accuracy of models trained on their dataset against models trained on a Google dataset that was manually constructed by carefully sourcing individual and specific words, the team found only a small accuracy gap between the two.

For most of the 50 languages, the Multilingual Spoken Words Corpus is the first available keyword dataset that is free for commercial use. For several languages, such as Mongolian, Sakha, and Hakha Chin, it is the first keyword spotting dataset in the language.

Source: Leah Burrows, Harvard John A. Paulson School Of Engineering And Applied Sciences

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[tech2more]

What are the best video editing software in 2021

Are you looking for a video software for your next project? Do not stress out read this write-up to the end to know the software you can use. If you need high-end software, we present to you the best software after effects that meet your personal and business needs. To get a video maker software, read further.

Turn Your Ideas Into World-Class Animated Videos For Any Goal In ALL Shapes, Topics & Languages At Record Speed!

1. Video Creator - For The ONLY “Multi-Purpose” Video Maker You Will Need!

VideoCreator is the ONLY app in the market stacked with HUNDREDS of video templates. The app features first-to-market features not seen in any other app before.Scroll Stoppers, 3D Video Flipbooks, Corporate Commercials, 3D ECommerce & Product Demos, Local Business Videos ft. Real Human Actors, 360 Degree Animations and hundreds of other template options. There is a massive demand for animated, explainer, ecommerce, scroll stoppers and promo videos like the ones you can create with VideoCreator.

Features : - Unlimited Video Renders: No Limits, Restrictions or Monthly Fees. - Hundreds of Ready-To-Use Templates: From All The Hottest Topics & Designs Suitable For Every Business. - Videos In All Shapes & Dimensions and For All Marketing Goals : Explainer, Animated, Whiteboard, Ecommerce or any other type of video inside ONE platform. - Multi-Lingual Support: Create Videos In Any Language To Attract Global Audiences. - Copyright-Free Video, Image & Music Library To Save Thousands in Fees! - Commercial License Included: Sell Videos To Clients Online & Offline To Maximise Revenues.

2. Explandio Is an all­-in­-one video creator

That focuses on helping you create attention grabbing, professional looking 2D, 3D, explainer, and training videos in just minutes.. The application has several features and functionalities that facilitate customisation to create unique animated videos that suit your goal.It is more versatile than most other software, as you can use it to create cartoons and animation.

Explaindio allows the importation of images and GIFs to your project. It will convert them into a whiteboard video. Features : - Multiple animations at the same time and Easy video creation wizard - Full multi-timeline editing - Full 3D animations, Import of external 3D elements, 3D models and animation customization - Import videos in most popular format like AVI, WMV, FLV, MOV, and MP4

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Doodle maker features a technology that feels like something from the future. This amazing software gives you the opportunity to convert your plain or complicated text or content into really attractive and colourful Doodle videos. The best part is you can create these videos in any language you want.

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This software provides a wide variety of pre-done Animations to be used directly. Great collection of animated characters, various themes and Background. These templates come up with professionally pre-recorded voice-overs. Create video with a fun and attention-grabbing explainer video, you can completely transform the look, With an entertaining and catchy content video posted on Facebook, Instagram, Twitter or Youtube, you can build brand awareness for your business or website

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5. Avatar Builder

Leverage Cutting-Edge 3D Animation, Artificial Intelligence & Award Winning Multilingual Technologies To Create Spectacular Videos In Any Language In Minutes!

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7. VideoBuilder

When it comes to grabbing (and keeping) the attention of people who are being bombarded by distractions whenever they go online.

Features : - The Fast and Easy Way To Create Pro 3D/Animated Videos That Crush The Competition! - Harness Cutting-Edge Technology That Takes Video Animation and Text- to-Speech To Entirely New Levels! - Leverage The Power Of Video To Increase Visibility, Traffic And Sales - With Zero Learning Curve! - Scalable Web/Cloud-Based App Runs On Any Platform/Browser, Including Mobile Devices! Get VideoBuilder For Just $67/mo $46.95 One Time Payment"Get Instant Access To VideoBuilder!

8. VidSnatcher

Brand New Video Technology Help Entrepreneurs Create The Perfect Online Courses, Training Videos,E-learning Videos and More!

Features : - Complete Blank Canvas Editor for Full Flexibility - Jam-Packed with Must-Have Video Editing Features - Built-In Text-To-Speech Engine with Language Translator - Cloud Based for Maximum Compatibility on All Operating Systems - Create and Sell Your Videos For 100% Profit (Commercial License Included) - Unlimited Projects at A Low One-Time Fee GET INSTANT ACCESS NOW $ 49.95 One time

9. Animate360 Premium

NEW Cloud-Based Software Gives 5 Million Video Assets You Can Use With Any Video Software With A Click Of A Button Surefire Way to Capture Maximum Eyeballs to Your Videos, Memes, Sales pages and More in 3 Simple Steps

Features :

- Cloud-based All-in-one creative Media Dashboard with over 5 Million Assets. - Ever-growing library with more updated content every month. - Grab Images, Videos, PNGs, GIFs and much more in almost any niche!​ - Get multimedia elements in more than 10 types of formats! - Get Omni-Compatible Assets to use with the most used Video Editing Softwares in the world like Explaindio, etc. - Cut-Off your Multimedia-Stock purchasing budget. - Get Access to the Professionally Made and Tested elements. - Grab Multimedia assets which are made to convert and used by the experts. - Complete Multimedia Database with Keyword-Search option. Get Animate360 Now - Instant Access !

10. invideo

Create stunning videos in under 5 minutes with thousands of pre-made templates. We have got you covered with over 3,500 templates covering a wide range of industries. Or make something completely custom.

Features : - Automatically Convert Text to Videos- Convert an article into an engaging video with just one click using our text-to-video tool. A natural sounding voice reads out the words, and images are automatically selected to match the text. - Complete Control & Flexibility - With our easy to use platform, you can drag and drop, upload pictures and videos, add music, and add text. Our platform works across all languages!

11. Canva

Customize templates by adding videos and create even more dynamic content Drag and drop videos into your design to easily personalize them. Take the free trial of Canva Pro now!

Features : - Start a new project -Sign up for Canva using Facebook or Google. Log into your account and search for the Video design type, or Facebook Video, Video Slideshow, Video Collage, YouTube Video, Instagram Stories, and YouTube Intros. From there, you can start from scratch or browse templates for inspiration. - Explore templates - In Canva’s library you’ll find templates for educational videos, review videos, explainer videos, marketing and sales videos, travel videos, beauty and fashion videos and more. Click on your favorite to make it yours. - Discover features - Explore millions of designer-made photos, images, icons, illustrations and other graphics. Add notes or duplicate pages. Work on your design with others using the collaborate tool. - Customize your video - Upload your own videos and images into the editor. Choose your own color scheme and background. Trim, edit and add filters to your clips. Add music from Canva’s free music library. Apply animations and stickers for motion. - Save and share - Happy with your design? Download your video as an MP4 or GIF. Share directly on Facebook, Twitter or Instagram with a few easy clicks. Return to the editor to make changes any time. Make a Video Read the full article

[rankinfinity]

VidSnatcher 2.0 Review: Cloud-Based Video Editor That Easily Creates "Train and Explain" Videos, With Mobile Recording and Screen Capture Technology

VidSnatcher 1.0 was launched one year ago by Bravinn Technologies and Todd Gross. It was a successful launch because it is a screen capture behemoth, video creator and editor that enables the user to produce videos that can TRAIN and EXPLAIN anything they want! You know how just how useful a software like this was in 2020. Well, it’s only become MORE useful now as people are making videos that teach, share, and communicate virtually as you will discover in this VidSnatcher review…

 VidSnatcher 2.0 Review: What is VidSnatcher

Did you take time in 2020 to pick up an old hobby?  How about to learn something new?  Cooking, Bass Guitar, Gardening, Woodworking?

 For most of us, 2020 was the year we dove into our hobbies as we tried to fill our time. Where did we all end up?  ONLINE!  Watching videos that “trained and explained” – really anything we wanted!

 It seems like this year is going to be much of the same, and that’s a good thing for you because you’re now looking at a major opportunity! Why not create videos doing what you're passionate about: explaining, training and sharing your skills with others… essentially building a business based on what you love!?

 Thousands of VidSnatcher customers capitalized on this exploding “train & explain” video market… 

 Except….

 There was one MAJOR suggestion from our users that no other software of this kind has – MOBILE RECORDING! So you can send your video clips right into the software while you are out and about! 

 When VidSnatcher 1.0 was released, it was a big deal because it was one of the first open-canvas video editors with screen capture similar to Camtasia. Not only was it conveniently “cloud-based”, but it also included extra features like language translation and text-to-speech, which other similar screen capture / video editing software like Camtasia just didn’t have!

 For the past two years, VidSnatcher has been in the making. The software is now completely ready and upgraded for you to enjoy.  VidSnatcher is the ultimate Camtasia replacement. It is geared towards helping video marketers easily mobile record, edit, and create beautiful videos in the cloud.

Introducing Vidsnatcher 2.0

 VidSnatcher 2.0, the video editor that can help you profit off of your passion, is here…

·         You don’t have to speak (it has text-to-speech translation)

·         You can reach audiences around the world in different languages (yes it translates languages too)

·         You can record anything, anywhere, anytime with you mobile device (it gets uploaded to the video editor automatically no matter where you are)

·         It’s enabled with screen capture, green screen removal (if you need it)…

·         Literally everything AND MORE, you could possibly need in an open canvas video editor…

 It’s the perfect tool to create unique and captivating videos to share with others, and if you’re more into creating videos for local businesses, you can do that too.  This is so versatile and can work for virtually all of your video needs and it’s absolutely perfect for “train & explain” videos!

  Click Here to Get VidSnatcher 2.0 and My Exclusive Bonuses

VidSnatcher 2.0 Review: How VidSnatcher 2.0 Works Demo

Why You Should Get VidSnatcher 2.0

VidSnatcher 2.0…

·         Is equipped with Mobile Recording so you can record ANYWHERE with ANY mobile device and have it ready for edit when you’re ready to edit!

·         Is equipped with text-to-speech and language translation, making it the first completely open-canvas editor.

·         It opens business opportunities around the World and completely

·         Crushes language barriers, opening access to markets that were virtually impossible to reach before now.

·         Enables ALL of us to tap into 2021’s fastest growing online video market for years to come… the “train and explain” market!

·         Includes Commercial License

·         Easier than ever to use

ALL at a fraction of the cost to comparable video editors on the market.

Just try to imagine having all of these features with MOBILE recording too, which enables you to record video from any mobile device and have that media automatically sent to your VidSnatcher 2.0 media library, ready for editing. Can you imagine how amazing that would be?

 VidSnatcher 2.0 Review: Features of VidSnatcher 2.0

·         Easily capture, record, edit, and create the videos you want to share...

·         Capture video anytime, anywhere with NEW Mobile Recording capabilities

·         Complete blank canvas editor for limitless possibilities

·         Updated User-interface for smooth, fast, flexible video editing

·         Perfect for creating E-learning video courses and tutorials

·         Jam-packed with must-have video editing features

·         You don’t have to speak since VidSnatcher 2.0 has a built-in text-to-speech engine with language translator

·         Cloud based for maximum compatibility on all operating systems

·         Automatic transfer of mobile recording to your media library

·         Sell ANY video you create for 100% profit (Commercial license included)

·         Screen and live voice recording

·         Unlimited projects at a low one-time fee

·         You can reach audiences around the world in different languages (yes it translates languages too)

·         You can record anything, anywhere, anytime with you mobile device (it gets uploaded to the video editor automatically no matter where you are)

·         It’s enabled with screen capture, green screen removal (if you need it)…

·         Literally everything AND MORE, you could possibly need in an open canvas video editor…

   Click Here to Get VidSnatcher 2.0 and My Exclusive Bonuses

According to Stratistics MRC, the global e-learning market was projected to grow from $176 billion in 2017 to approximately $398 billion by 2026! the events in 2020 have4 dramatically accelerated this projection. It is evident that with so many people spending their time online learning new skills, the e-learning industry is not going anywhere. In fact, it has now become one of the fastest growing segments on the internet!

 Everyone can tap into this ever-growing market and create a complete E-learning Video training course on ANY subject imaginable - It’s not just universities and grade schools - But what we can train and explain to teach one another.

With the e-learning industry growing very fast, why not establish yourself as an authority in your market using video, and create new income possibilities while sharing something you’re an expert at, or something you love to do?

 Vidsnatcher 2.0 opens up so many opportunities with its multi language features. Now you can profit from the ever growing multi-billion dollar, multilingual market. Start spreading your message beyond just your native language, and share with people World Wide.

 VidSnatcher 2.0 can help you to easily tap into this massive and fast growing market. With VidSnatcher 2.0's suite of editing tools, you can quickly and easily create explainer videos, video training courses, and tutorial videos

VidSnatcher 2.0 Review: VidSnatcher 2.0 Pros and Cons

VidSnatcher 2.0 Review: VidSnatcher 2.0 Pros

·         Easily capture, record, edit, and create the videos you want to share...

·         Capture video anytime, anywhere with NEW Mobile Recording capabilities

·         Complete blank canvas editor for limitless possibilities

·         Updated User-interface for smooth, fast, flexible video editing

·         Perfect for creating E-learning video courses and tutorials

·         Jam-packed with must-have video editing features

·         You don’t have to speak since VidSnatcher 2.0 has a built-in text-to-speech engine with language translator

·         Cloud based for maximum compatibility on all operating systems

·         Automatic transfer of mobile recording to your media library

·         Sell ANY video you create for 100% profit (Commercial license included)

·         Screen and live voice recording

·         Unlimited projects at a low one-time fee

·         You can reach audiences around the world in different languages (yes it translates languages too)

·         You can record anything, anywhere, anytime with you mobile device (it gets uploaded to the video editor automatically no matter where you are)

·         It’s enabled with screen capture, green screen removal (if you need it)

 VidSnatcher 2.0 Review: VidSnatcher 2.0 Cons

So far I have not found any VidSnatcher 2.0 cons. The only con you may face is just learning to use the software if you are a first time user or learning the new upgrade features if you had purchased VidSnatcher 1.0, which would take you time depending on how fast you learn to use VidSnatcher 2.0.  

  Click Here to Get VidSnatcher 2.0 and My Exclusive Bonuses

What Is the Cost of VidSnatcher Front End Product and One Time Offers (OTO) Upgrades

VidSnatcher 2.0 Review:VidSnatcher Front End Product Price

VidSnatcher 2.0 Unlimited Commercial Price: $29.95-$47 One Time For Commercial License (Excluding Coupon Value) [Check Current Price Here]

COMPLETE video editor - Everything needed to create excellent professional videos - especially training, how to, and course videos - is INCLUDED in the FE. Commercial License

 VidSnatcher OTO 1 - VS 2.0 Ultimate Funnel Bundle Price: $47/mo OR $247+  One Time [Check Current Price Here]

Unlock The ENTIRE VidSnatcher 2.0 Funnel! (OTO 2, 3 & 4)

PLUS -- 50 Reseller Accounts With Account Creation - NOT INCLUDED in the individual OTOs

Those Who Say "No Thanks" See OTO 2, 3, 4

 VidSnatcher OTO 2 - VS 2.0 Pro Editor's Suite Price: $67  One Time [Check Current Price Here]

Pixabay & Pexels for Royalty Free Images & Videos

Render in 4K Resolution

Unlock in-app URL Screenshot Import 

Unlock An Ever-growing Music Library

 VidSnatcher OTO 3 - VS 2.0 Template Club Price: $17/m or $97 One Time [Check Current Price Here]

Get 50 Templates Immediately + 10 New Templates Delivered Every Month.

VidSnatcher OTO 4 - VS 2.0 Animation Suite Price: $27 One Time [Check Current Price Here]

Unlock 100's of ANIMATED Icons, GIFs, & Emojis

 VidSnatcher 2.0 Review Conclusion

Overall, I’m really impressed with VidSnatcher 2.0. I highly recommend VidSnatcher 2.0 if you are a looking for a video editing software which is better than Camtasia and can quickly and easily create training videos, video lessons, demo videos, how-to videos, meeting recordings, explainer videos, instructional videos, presentation recordings and many more with mobile recording and screen capture technology.  If you want and planning to become an authority in your online business niche, VidSnatcher is the video creation and editing software you need!

 Well, thanks for reading this VidSnatcher 2.0 review. I hope it answered any questions you may have but if you do have any questions please do feel free to leave me a comment below.

 Click Here to Get VidSnatcher 2.0 and My Exclusive Bonuses

[paradisetechsoftsolutions]

Ultimate Guide to Understand Natural Language Processing (NLP)

Natural Language  simply means the language that we use on regular basis for communication. It can be any language like English, Hindi, Spanish etc. But when it comes to computers, they can hardly understand our natural language. To make them understand our natural language, we make use of the technology known as "Natural Language Processing". Though we are using technologies to make the machines understand our natural language but its still not an easy job. The study of "NLP" has been around for more than 50 years and it grew more with the rise of computers. NLP, in wide sense, can be defined as computer/automatic manipulation of natural language by software and it can be anything like speech or text.

In other words, it can be defined as the capability of a computer program to understand human language and development of such applications is quite challenging as natural language is highly ambiguous and is always changing and evolving due to its linguistic structure depending upon many variables, dialects, regional context etc . We have poor rules that govern a language though we are very good at understanding, perceiving, expressing and interpreting a language.  

NLP relies on machine learning as well as deep learning depending on data to acquire meaning from human languages. It is also termed as a computational technique for scrutinizing and synthesizing natural language and speech. Computational linguistics can be understood as a study or creation of tools/computer systems for tasks such as machine translations, generating natural language, speech synthesis, information extraction, speech recognition, text mining etc.

You will take an overview of "Natural Language Processing" and how to use "machine learning" methods in this NLP tutorial for beginners and for the developers as well. So today in this article, you'll be given a thorough overview of Natural Language Processing, and help you to understand its work process, why NLP is important and what are the applications specifically created via Natural Language Processing.

So what are you waiting for? Let's take a dive & know something about Natural Language Processing

AN OVERVIEW OF NLP

Natural Language Processing (NLP) is the driving force behind any software tool that is aimed to interpret, understand, and determine the actual meaning from human language in an intelligent and in a more valuable way. 'Natural Language Processing' is seen as Computational Linguistic study as well. Here the ultimate purpose of NLP is to read, interpret, understand, and make sense of the human languages in a manner that is more valuable than anything. In other words, learning NLP is like learning the language of your own mind!  

NLP is a very challenging as it is the human language that makes it quite difficult. Approaches used for NLP earlier were mostly rule-based and machine learning algorithms were applied mainly. It was limited to looking for specific words/phrases in given text and give specific responses when those phrases or words appeared. The main failure of this approach was that machine can't answer the words or phrase which didn't appeared in the data being trained with. This eventually led to the development of deep learning algorithms for NLP. They are more flexible and can easily learn almost like how a child is made to learn any human language. Deep learning examines and uses patterns in data to fulfill its motive of learning human language. For this, massive amount of labeled data is required for training the model and identifying correlations but handling and structuring this massive data is itself a current challenging task.

Rules controlling information flow using natural language is not easy for computers to understand. NLP requires algorithms that can identify and extract natural language rules from a small/huge unstructured data and converting it to a form that computers can understand.

Note: You can take an overview of Natural Language Processing in the given short video below. We are sure that you will grasp things better.

What can be done with NLP?

1. Text Classification: IT classifies text documents or sentences into one or more defined categories. Spam detection and sentiment analysis are applications of text classification.

2. Natural Language Understanding: It is a subset of NLP which uses algorithms that goes beyond understanding and interpreting words and their meanings to reduce human speech into a structured ontology. It is mainly used for creating bots or cognitive assistants that can interact with public without supervision. Companies working on NLU include Medium's Lola, Amazon's with Alexis and Lex, Apple's Siri, Google's Assistant and Microsoft's Cortana.

3. Machine Translation: Translating text or speech from one language to another.

4. Natural Language Generation: This basically involves databases for deriving semantic intentions and later on converting them into human understandable language.

5. Sentiment Analysis: Identifying the mood or tone of a statement whether it is negative, positive or neutral. It is mostly used on social media comments by organizations to review their products feedback from customers.

6. Topic Modelling: This technique is used for discovering topics based on their contents in any textual document. It assumes that every textual document consists of many topics and each topic consists of words or statements. So, it spots the topic in a document which can therefore unlock the meaning of our document.

7. Statistics of Document: We can evaluate how "good" a topic in document is by calculating some stats. Some of these are perplexity, coverage, topic variety, topic coherence, confidence score etc.

There are many more things that can be done with NLP. More can be found here

Let's take a look at some of the major applications that mainly designed with the help of Natural Language Processing (NLP).

APPLICATIONS OF NATURAL LANGUAGE PROCESSING IN AI

NLP is also known as computational linguists as well. With the help of NLP, there are many of the applications designed that can be easily run on iOS and android. On your iPhone or iOS device ‘Hey Siri’ and on your android device ‘Hey Google or Hey Alexa’ are the products that perform impeccably with the ‘Natural Language Processing’.

Hey Siri

Image Source: Giphy

Hey Google

Image Source: Giphy

Hey Alexa

Image Source: Giphy

Moreover, some of the most prominent applications of ‘ Natural Language Processing’ for businesses. Read below you will get clear about such applications.

LIVOX APP

Livox is an alternative communication app for tablets. The only one which can be used for communication and also in the process of education of persons with disabilities!

GOOGLE TRANSLATE  

Google Translate is a free multilingual machine translation service developed by Google, to translate text. Google Translate supports over 100 languages at discrete levels and serves around 500 million people daily.

CHATBOTS

A chatbot is an artificial intelligence (AI) software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, mobile apps or through the telephone. Below is the example we have shown to you that mainly performs with the chats. It is one of the shiniest chatbot on the web.

Why NLP is important?

Nowadays, the evolution of Natural Language Processing applications is quite challenging, because computers traditionally work explicitly,  unambiguous and extremely structured languages such as python and other programming languages, however, the natural language is often ambiguous and the linguistic structure can depend on many intricate variables, including dialect, slangs, and the social context.

As a human, you may speak and write in English or Spanish. Although a computer’s primary language associated with machine code or machine language — which is most difficult for most the individuals. At your device’s lowest levels, the means of communication befalls not only with the words but through zillions of zeros and ones that generate legitimate actions.

On the other hand, if we talk about today's machines they can easily interpret more language-based data than humans, without any exhaustion and in a logical, impartial way. Considering the staggering amount of unstructured data that’s generated every day, from medical records to social media, automation will be critical to fully analyze text and speech data efficiently.  

Natural Language Processing is important because it improves and resolve ambiguity in language and adds useful numeric structure to the data for many downstream applications, such as speech recognition or text analytics.

Benefits of NLP

NLP hosts benefits such as:

Improved accuracy and efficiency of documentation.

The ability to automatically make a readable summary text.

Useful for personal assistants such as Alexa.

Allows an organization to use chatbots for customer support.

Easier to perform sentiment analysis.

Signing Off

In this blog, we have explained the basics of Natural Language Processing and what are major applications that mainly created with NLP. This section provides more resources on the topic if you are looking to go deeper you can devour from given books links.

[72823-blog]

The Budget Traveler's Guide to Akihabara Shopping

So you've made it to Japan and are speeding to Akihabara via train, raring to get your hands on some otaku goods. Unfortunately, you've pretty much blown your money already on the plane ticket and hotel. Uguu~ doushiyou~?

Don't fret! If you have the knowhow to make the most of your yen, you'll be more than capable of acquiring a formidable haul for yourself, and be a courteous customer all the while. Here's a guide with some tips to make you a battle-ready smart shopper before you head to the fated Denki-gai / Electric Town station exit.

Note: Japanese phrases will be Romanized if they're primarily encountered in speech, and written out in kanji / kana if it's helpful to know how to read them.

Etiquette and Common Sense

First and foremost, you need to know the rules of engagement so as not to step on any toes (literally or figuratively) during your time in Akihabara.

"Remember your please and thank you." At a minimum, add these handy phrases to your Japanese vocabulary: onegaishimasu ("please," use as you bring your purchases to the counter); arigatou gozaimasu ("thank you," use anywhere it makes sense); shitsureishimasu ("excuse me," use to get someone's attention if you're moving past them, etc); sumimasen ("sorry," use if you accidentally bump into someone, knock something over, etc).

Whether driving or walking in Japan, stick to the left side. This is particularly important in the cramped stairs and walkways in Akiba's numerous shops, and helps everyone navigate around quickly and smoothly.

Be aware of your surroundings. Make room for people to move past, especially in tight areas (in return, most Akihabara-goers will make room for you even if they just hear your footsteps). Watch your back, especially if you're wearing a backpack, so you don't knock over sometimes precariously stacked items.

Be conscientious about photo and video. Lots of spots will have signs forbidding camera use, so keep an eye out for when it is or isn't okay. Also, people in Japan are sometimes less comfortable with being in a stranger's pictures and video than Western cultures are used to, so snap politely.

Refrain from phone calls and loud conversations while indoors; even if you're not called out for it, it can really annoy people.

Put items that you take out of their shelves back into the same spot, as best you can. Store inventory is usually sorted within shelves, not just by obvious details like author or price, but oftentimes by other factors such as genre, subject matter, and event of release (e.g. Comiket, M3)

There are these neat little trays at many shop registers that you put your payment (cash or card) into. It's polite to use the tray, and can make it easier to deal with small change to boot!

Save the unboxing for later! It might be tempting to open up the limited edition Magical Salaryman Daigorou BD with oppai mousepad that you just dropped mad yenzz for right outside the store, but hold off until you're back at the hotel.

Bargain-Hunting General Tips

Thanks for listening to my nagging. Now onto the fun stuff!

Bring cash! Not all stores will support your credit card, and those that do might incur a foreign transaction fee (look at the terms of your card to make sure). Cash is also a good way to place a hard cap on spending and keep you to your budget!

Pay very close attention to store signage! Large-scale discount and sales events will be announced with banners and bright colors, but not all deal will be announced with that level of fanfare. Keep an eye out for bundle discounts, price drops, and special items (特典, "tokuten," items that you claim at the register in addition to the item you purchase). Almost every store will have some kind of promotion active at any one time.

On a similar note, many stores have sections dedicated to lower-priced items, usually due to excess stock, older age, or being pre-owned. And it's not like these are bottom-of-the barrel goods either; these items are more often than not high quality stuff that gets moved out of the way for a near-constant stream of new arrivals. I've seen new, unopened games only 6 months old get discounted down 50%, and full volumes of manga just a couple years old dropped down from 600円 to a stunning 100円 a book. For the budget-conscious buyer, the low-price sections of Akihabara's stores is where the magic happens!

I mentioned before that store inventories are usually sorted in some way or another. If you're looking to buy something particular, it's a huge time-saver to scan through the shelves and find out the logic behind the organization, which is sometimes not explicitly labeled. For example, Toranoana's music CD section has signs letting you know it's organized by circle name. Some of the store's doujinshi shelves are organized the same exact way, but might not tell you.

Store layouts will often accommodate the most recent media market event, such as Comitia for manga, M3 for music, and Comiket for pretty much everything. These nicely-made displays are the place to go if you're looking to splurge on a long-awaited release by your favorite artists! Otherwise, you'll find most savings and discounts beyond these shelves.

A little Japanese language goes a long way. Here are some words to look out for, especially in store signage:

¥ / 円. Yen, pronounced "en." Prices are formatted like ¥1000 or 1000円.

万 Stands for 10,000. 3万円 equals 30,000 yen. Not used often.

Item counters. 本 for thick books, 冊 for thin ones (like magazines or doujinshi), 枚 for flat items such as DVDs, CDs, and games. Very helpful for deciphering common discounts such as "5枚 －＞ 20%ＯＦＦ！"

中古, or more simply 古, indicates used items, most likely at a deep discount! Notes such as damage and used-up redemption codes will be written on the label, and you can bring it to the counter if you have questions.

一般 "general," as in "for general audiences." 成年 "adult," as in "for adults only." If buying items marked with the latter, you could be asked to confirm your age ("nenrei") is over 18, in which case any license with your date of birth will do.

ポイントカード "pointo kaado" for "point card." A store-specific card that acts sort of like a store membership. You can apply for one if you foresee making frequent purchases at a location, given you can overcome the language gap. However, point cards aren't mandatory for purchases and you'll also be fine without one; if you're asked at the register whether you have one, a simple "iie" or head-shake will do the job.

Geography and Store Selection

The majority of the Denki-gai is centered around two strips of buildings around a single, central street. It's right next to the JR station and hard to get lost!

Prices can vary greatly across stores! If you find something you like at a price you don't, hold off on the purchase and check out other stores. That same item might just pop up again at a better price! However, certain items are priced according to their suggested retail price no matter where they're sold: this is very common for new releases of manga, books, and games.

Be careful in stores that overtly advertise themselves as being tourist-friendly or multilingual. Many are totally harmless, honest businesses, but certain shops will mark up their prices to a premium, at worst being unreasonably expensive. The most unscrupulous variety will sell fake, lower quality products (this is especially dangerous for electronics!). Saddening that I have to warn you about this, but it is what it is.

You might have noticed that some stores have multiple Akihabara locations, sometimes just a couple hundred feet from each other (Toranoana, Sofmap, and Trader are just a few examples). The inventories and product categories featured will be very different, with the only major overlap being the most popular items. It's worth exploring each one!

Some stores will span a whole 6+ floors with specialized categories for each level, while others are tiny single-floor affairs that can be easy to miss. For example, there's an itty-bitty Melonbooks located underground down an unassuming flight of stairs, and a doujinshi-focused Toranoana on the third floor above a completely different shop! If you're having a hard time finding out where a particular store is located, there's usually some signage outside that will point you in the right direction.

If you have time, wander off the main street! Otherwise, you might miss gems like the utterly massive Bookoff (where I found shelf after shelf of 100円 manga).

Details, Quirks, and Miscellanea

Most stores in the Electric Town will open at 10 or 11 AM. Closing times vary, but you can expect 90% of stores to be open until 8 PM, with 10-11 PM being a very standard closing time.

Make sure to purchase your items on the same floor you find them stocked! If there is no register that floor, go to the register on the closest floor to you.

Don't worry about bringing bags to carry your purchases, stores will bag your items at the register, and will give you a large bag to carry multiple smaller ones, even if they're from other stores!

Yes, it's normal for some shops to tape your bags closed or use two bags to obscure the contents; it's for privacy's sake. No, you won't look like a criminal on the train back.

Paper-bound items will usually have a sample copy at the very top/front of the stack, which you can use to preview the work. Make sure to buy a normal copy!

Trading-card shops will sometimes have placeholder items in their shelves. Take the desired number of each to the front counter and you can exchange them for the real deal.

Another trading-card tip: sometimes the cashier will ask you if you have a proper deck ("dekki") for the TCG in question. They're just making sure you're not mistakenly buying a booster pack as opposed to a starter!

Similarly, when buying older games, particularly for PC, the cashier might ask to ensure your home system has the right specs ("spekku") to play it.

Shop staff will often greet customers with "irasshaimase" (welcome), if you're wondering what they're saying every time someone walks in.

Prepare your legs for a lot of walking and stair-climbing. Like, a LOT. Before my second trip to Akihabara I did leg workouts in preparation, I kid you not.

And that's all I got. If it sounds helpful to y'all I might add a store-specific guide in the future, for those looking for a specific category of goods to buy. For now, I hope this guide has been of some use. Best of luck out there.

[ellawsblog]

6 Amazing Translator and Dictionaries

Advancement in technology has extensively changed the manner we speak and do matters. And every so often, to maintain up with the technology and triumph over language limitations, one goals proper offline translation software program application.

Through the worldwide internet, even the small and medium-sized agencies often find out themselves doing organization with partners from the farthest corners of the globe.

Best of all, a few advanced translation software program software permits you to translate them offline.

The best record translation software application software comes baked with friendly talents geared to decorate your translation experience. It offers a diffusion of languages to select out from, accurate individual-extraordinary interface and gives terrific help.

It excels at translating emails permitting parties to put in writing of their language of desire and have the content material fabric added inside the language of the recipient.

The dedicated software program program seamlessly translates remarkable files, PowerPoint suggests, Excel evaluations, and particular neighborhood applications with a immoderate degree of accuracy.

It gives textual content to speech capability permitting users to research proper pronunciation. In this newsletter, we’ll speak the high-quality offline translation software program software for PC.

What are the remarkable offline translators for Windows?

PROMT Master PROMT Master is a first-rate translation software program software utility this is to be had in cash-saving, multilingual packs and offers fantastic functionality for organizations operating with distant places offices.

This tool gives severa language translation applications with versions that cover as a excellent deal as 16 languages.

PROMT Master English Multilingual model interprets to and fro among English and Russian, German, Spanish, Portuguese, French, and Italian. This software has a massive variety of functionalities and enables many record formats. It is character-excellent and it permits you to effortlessly manage its capabilities.

A remarkable card that PROMT Master has to play is the form of supported report codecs and the functionality to translate complete documents from any Microsoft Suite software program. From the format documents you may come upon and need to translate, PROMT Master is helping PDF, DOC, DOCX, RTF, XLS, XLSX, MSG, HTML, PPTX, XML, and in addition. Briefly, PROMT Master is properly optimized for all clients that art work with Office Suite.

You can be able to prepare your files in PowerPoint, Word, Excel, Outlook, and genuinely translating it at the same time as it’s completed in a unmarried click on on on on.

Babylon 10 Premium Pro

Babylon Translator is dubbed because the exquisite translation software program application. Using this software software software program, you can recognize and translate as a exquisite deal as 77 languages. The translator isn’t handiest low-value but moreover comes with top-notch features and the capacity to paintings from your preferred laptop applications, e mail protected.

The utility allows you to designate specific language for each of your contacts. This way, you could write an electronic mail in English however the recipient gets maintain of it in their language of choice.

Likewise, the possibility birthday celebration can write in their language of choice and also you’ll get hold of it in English or in some other language of your preference. While amazing translators ask you to outline the language you want to translate,

Babylon routinely recognizes the language. In addition to translation, the software program software program comes with robust grammar and spell checker gadget that make your paintings look and sound expert. It also comes with an covered dictionary. And in case you worry plenty about pronunciation, truly click on on on the ‘Speech’ icon and Babylon will train you the manner to pronounce those words effectively.

Microsoft Translator app for Windows 10

The Microsoft Translator app for Windows 10 may not translate as many languages as Babylon, however offline translation is the distinctiveness of this software program. As of now, the app allows 50 languages and the significant type of supported languages maintains on developing.

Unlike Google Translate it is a completely internet-primarily based completely sincerely software program software, Translator 10 can paintings offline and it does it thoroughly. One of the features that make it stand out is the camera translation. Just detail your camera at symptoms and signs and signs and symptoms, newspaper, menus or any observed textual content and the app will translate the textual content in a unmarried tap.

Text Translate is likewise a completely beneficial characteristic, especially at the equal time as speakme to a person who doesn’t communicate your language. The app moreover has voice translation and textual content to speech talents.

Tapping on the speaker icon lets you pay attention the pronunciation of the translated phrase. The app saves all of your translations and you could additionally mark them as favorites so you can get admission to them without trouble it can translative Arabic to Urdu.

The app has a modern-day-day feature known as Word of the Day. This is an great function that teaches you a modern day word every day inside the language of your preference.

Just Translate

Just Translate in Urdu is yet each wonderful free on-line translator that packs all you may want in translation software, which encompass computerized language recognition. Furthermore, this tool boasts of immediately translation with the functionality to translate over 50 languages and may simultaneously way at the identical time as customers are running on distinct packages.

Its covered proxy assist permits customers to translate despite the truth that they may be offline. In addition to translation, the translator has an in-constructed grammar checker tool that corrects spelling mistakes.

You can also even keep the translated document in a specific folder, print it, or export it as a PDF document.

QTranslate

QTranslate is a powerful offline translation tool that lets in maximum of the substantially spoken languages round the world.

Once you input the text you need to be translated, this system appears up the terms in the contemporary dictionaries and displays the outcomes. By default, the program comes with Italian-English and English-Italian dictionaries but you may download extra free ones from the developer’s internet website on line and consequences add to this gadget.

QTranslate does not require software software installations. It comes as a simple folder and you can run the EXE document right away from the folder.

Its interface is quite simple and consists of a text problem wherein you type the phrases you want to be translated and a panel for showing the consequences.

Virtual Virtual is a feature-rich offline multi-format translation software program software program that allows you to hobby on translation in an uncluttered purchaser interface.

It does that via using permitting you to clearly popularity on the translation without some issue else getting inside the way.

It achieves this with the useful resource of using showing awesome what you want for the present day-day-day translation so everything else stays hidden in order now not to distract you.

By allowing plugins, you may get translation memory recommendations from Google Translate and different machine.

Virtual moreover comes with numerous modes especially Urdu to Arabic that permit customers to trade their editing technique similarly to are searching out for internal translations.

[sheminecrafts]

Hatebase catalogues the world’s hate speech in real time so you don’t have to

Policing hate speech is something nearly every online communication platform struggles with. Because to police it, you must detect it; and to detect it, you must understand it. Hatebase is a company that has made understanding hate speech its primary mission, and it provides that understanding as a service — an increasingly valuable one.

Essentially Hatebase analyzes language use on the web, structures and contextualizes the resulting data, and sells (or provides) the resulting database to companies and researchers that don’t have the expertise to do this themselves.

The Canadian company, a small but growing operation, emerged out of research at the Sentinel Project into predicting and preventing atrocities based on analyzing the language used in a conflict-ridden region.

“What Sentinel discovered was that hate speech tends to precede escalation of these conflicts,” explained Timothy Quinn, founder and CEO of Hatebase. “I partnered with them to build Hatebase as a pilot project — basically a lexicon of multilingual hate speech. What surprised us was that a lot of other NGOs [non-governmental organizations] started using our data for the same purpose. Then we started getting a lot of commercial entities using our data. So last year we decided to spin it out as a startup.”

You might be thinking, “what’s so hard about detecting a handful ethnic slurs and hateful phrases?” And sure, anyone can tell you (perhaps reluctantly) the most common slurs and offensive things to say — in their language… that they know of. There’s much more to hate speech than just a couple ugly words. It’s an entire genre of slang, and the slang of a single language would fill a dictionary. What about the slang of all languages?

A shifting lexicon

As Victor Hugo pointed out in Les Miserables, slang (or “argot” in French) is the most mutable part of any language. These words can be “solitary, barbarous, sometimes hideous words… Argot, being the idiom of corruption, is easily corrupted. Moreover, as it always seeks disguise so soon as it perceives it is understood, it transforms itself.”

Facebook is finally banning white supremacy that goes by other names

Not only is slang and hate speech voluminous, but it is ever-shifting. So the task of cataloguing it is a continuous one.

Hatebase uses a combination of human and automated processes to scrape the public web for uses of hate-related terms. “We go out to a bunch of sources — the biggest, as you might imagine, is Twitter — and we pull it all in and turn it over to Hatebrain. It’s a natural language program that goes through the post and returns true, false, or unknown.”

True means it’s pretty sure it’s hate speech — as you can imagine, there are plenty of examples of this. False means no, of course. And unknown means it can’t be sure; perhaps it’s sarcasm, or academic chatter about a phrase, or someone using a word who belongs to the group and is attempting to reclaim it or rebuke others who use it. Those are the values that go out via the API, and users can choose to look up more information or context in the larger database, including location, frequency, level of offensiveness, and so on. With that kind of data you can understand global trends, correlate activity with other events, or simply keep abreast of the fast-moving world of ethnic slurs.

Hate speech being flagged all around the world — these were a handful detected today, along with the latitude and longitude of the IP they came from.

Quinn doesn’t pretend the process is magical or perfect, though. “There are very few 100 percents coming out of Hatebrain,” he explained. “It varies a little from the machine learning approach others use. ML is great when you have an unambiguous training set, but with human speech, and hate speech, which can be so nuanced, that’s when you get bias floating in. We just don’t have a massive corpus of hate speech, because no one can agree on what hate speech is.”

That’s part of the problem faced by companies like Google, Twitter, and Facebook — you can’t automate what can’t be automatically understood.

‘Behind the Screen’ illuminates the invisible, indispensable content moderation industry

Fortunately Hatebrain also employs human intelligence, in the form of a corps of volunteers and partners who authenticate, adjudicate, and aggregate the more ambiguous data points.

“We have a bunch of NGOs that partner with us in linguistically diverse regions around the world, and we just launched our ‘citizen linguists’ program, which is a volunteer arm of our company, and they’re constantly updating and approving and cleaning up definitions,” Quinn said. “We place a high degree of authenticity on the data they provide us.”

That local perspective can be crucial for understanding the context of a word. He gave the example of a word in Nigeria, which when used between members of one group means friend, but when used by that group to refer to someone else means uneducated. It’s unlikely anyone but a Nigerian would be able to tell you that. Currently Hatebase covers 95 languages in 200 countries, and they’re adding to that all the time.

Furthermore there are “intensifiers,” words or phrases that are not offensive on their own but serve to indicate whether someone is emphasizing the slur or phrase. Other factors enter into it too, some of which a natural language engine may not be able to recognize because it has so little data concerning them. So in addition to keeping definitions up to date, the team is also constantly working on improving the parameters used to categorize speech Hatebrain encounters.

Building a better database for science and profit

The system just ingested its millionth hate speech sighting (out of perhaps tens times that many phrases evaluated), which sounds simultaneously like a lot and a little. It’s a little because the volume of speech on the internet is so vast that one rather expects even the tiny proportion of it constituting hate speech to add up to millions and millions.

But it’s a lot because no one else has put together a database of this size and quality. A vetted, million-data-point set of words and phrases classified as hate speech or not hate speech is a valuable commodity all on its own. That’s why Hatebase provides it for free to researchers and institutions using it for humanitarian or scientific purposes.

But companies and larger organizations looking to outsource hate speech detection for moderation purposes pay a license fee, which keeps the lights on and allows the free tier to exist.

“We’ve got, I think, four of the world’s ten largest social networks pulling our data. We’ve got the UN pulling data, NGOs, the hyper local ones working in conflict areas. We’ve been pulling data for the LAPD for the last couple years. And we’re increasingly talking to government departments,” Quinn said.

They have a number of commercial clients, many of which are under NDA, Quinn noted, but the most recent to join up did so publicly, and that’s TikTok. As you can imagine, a popular platform like that has a great need for quick, accurate moderation.

In fact it’s something of a crisis, since there are laws coming into play that penalize companies enormous amounts if they don’t promptly remove offending content. That kind of threat really loosens the purse strings; If a fine could be in the tens of millions of dollars, paying a significant fraction of that for a service like Hatebase’s is a good investment.

“These big online ecosystems need to get this stuff off their platforms, and they need to automate a certain percentage of their content moderation,” Quinn said. “We don’t ever think we’ll be able to get rid of human moderation, that’s a ridiculous and unachievable goal; What we want to do is help automation that’s already in place. It’s increasingly unrealistic that every online community under the sun is going to build up their own massive database of multilingual hate speech, their own AI. The same way companies don’t have their own mail server any more, they use Gmail, or they don’t have server rooms, they use AWS — that’s our model, we call ourselves hate speech as a service. About half of us love that term, half don’t, but that really is our model.”

Hatebase’s commercial clients have made the company profitable from day one, but they’re “not rolling in cash by any means.”

“We were nonprofit until we spun out, and we’re not walking away from that, but we wanted to be self-funding,” Quinn said. Relying on the kindness of rich strangers is no way to stay in business, after all. The company is hiring and investing in its infrastructure, but Quinn indicated that they’re not looking to juice growth or anything — just make sure the jobs that need doing have someone to do them.

In the meantime it seems clear to Quinn and everyone else that this kind of information has real value, though it’s rarely simple.

“It’s a really, it’s a really complicated problem. We always grapple with it, you know, in terms of, well, what role does hate speech play? What role does misinformation play? What role do socioeconomics play?” he said. “There’s a great paper that came out of the University of Warwick, they studied the correlation between hate speech and violence against immigrants in Germany over, I want to say, 2015 to 2017. They graph it out. And its peak for peak, you know, valid for Valley. It’s amazing. We don’t do a hell of a lot of analysis — we’re a data provider.”

“But now have like, almost 300 universities pulling the data, and they do those kinds of those kinds of analyses. So that’s very validating for us.”

You can learn more about Hatebase, join the Citizen Linguists or research partnership, or see recent sightings and updates to the database at the company’s website.

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