#Speech-to-text

[4thstar]

Tratando de configurar el voz-a-texto bilingüe.

Conchestress.

[techniktagebuch]

Juni 2024

Ein mündlich-schriftlicher Vortrag

Für die re:publica habe ich einen Talk eingereicht und bin genommen worden. Der Talk basiert auf einem zweiteiligen Podcast, der ein halbes Jahr vorher erschienen ist, ich habe aber auf der Bühne weniger als halb so viel Zeit, um meine Geschichte zu erzählen. Ich weiß also bereits ungefähr, was ich erzählen will, möchte aber so "mündlich" wie möglich klingen. Daher entscheide ich mich dazu, nur die Struktur meines Vortrags als Flußdiagramm auf zwei Notizbuchseiten zu skizzieren. Anschließend improvisiere ich meinen Vortrag anhand der Struktur in mein Podcastmikrofon und transkribiere die Aufnahme anschließend automatisch mit MacWhisper. Um das Transkript herum baue ich meine Folien und füge die entsprechenden Teile (leicht redigiert) als Notizen hinzu. Auf der Bühne bin ich sehr zufrieden: Mein Talk hat Struktur, aber selbst wenn ich die Worte gelegentlich aus den Notizen ablese, klingen sie wie mündlich erzählt (weil sie das ja mal waren).

Als ich meiner Frau von meiner tollen Technik erzähle, sagt sie: Okay, das mache ich schon seit vielen Jahren so, also ohne die Transkription und mit Sprachnachrichten, statt mit Podcastmikro. Aber herzlichen Glückwunsch, Alex.

(Alexander Matzkeit)

[giantkillerjack]

Quick update on the State of the Nation & Very Important Technological Advancement:

The speech-to-text tool on my Android phone recognizes the word "destiel".

It's a little janky and apparently 50% likely to spontaneously delete all the other words in the sentence and just leave "destiel" for some reason.

But isn't that what Supernatural is really about? Aren't we really all just here in this fandom to forget all the words except for Destiel??

.... Now if I could JUST get speech-to-text to REMEMBER LITERALLY ANY ETHNIC NAME, THAT'D BE GREAT.

I know for a fact that it is possible and even relatively easy to teach speech recognition software to register new words because I used to work testing and calibrating Alexa apps. I KNOW HUMANITY HAS THE TECHNOLOGY, DAMMIT! - But I haven't been able to find a speech-to-text app that allows me to do this. Anyone else have more success than me?

[restonse]

Experiments at GitHub may allow programmers to code by speaking, now more typing

[prajwal-agale001]

Meticulous Research® has published a comprehensive report titled, “Speech-to-Text API Market: Global Forecast to 2030.” This report indicates that the speech-to-text API market is expected to reach $10 billion by 2030, growing at a CAGR of 17.3% from 2023 to 2030. This growth is primarily fueled by the increasing prevalence of voice-enabled devices and advancements in speech technologies, as well as the rising adoption of connected devices. However, challenges such as the lack of accuracy in recognizing regional accents and dialects may hinder market growth. Nevertheless, innovations aimed at enhancing accessibility for differently-abled individuals and the development of solutions for rare and local languages present new opportunities for market players. The market is segmented by offering, deployment mode, organization size, application, and end user. In 2023, the solutions segment is projected to dominate the market share, driven by the rising demand for advanced electronic devices. Cloud-based deployment is expected to lead the deployment mode segment due to the growing popularity of cloud computing among small and medium enterprises. The small and medium-sized enterprises segment is anticipated to hold the largest share based on organization size, while the transcription application is expected to command the largest market share. The IT and telecommunications sector will dominate the end-user segment, with healthcare projected to experience the fastest growth. Geographically, North America is set to hold the largest market share in 2023, thanks to its advanced technology adoption and integration of speech recognition in consumer electronics. In contrast, the Asia-Pacific region is expected to witness the highest growth rate during the forecast period.

[bhavanameti]

TOP 10 COMPANIES IN SPEECH-TO-TEXT API MARKET

The Speech-to-text API Market is projected to reach $10 billion by 2030, growing at a CAGR of 17.3% from 2023 to 2030. This market's expansion is fueled by the widespread use of voice-enabled devices, increasing applications of voice and speech technologies for transcription, technological advancements, and the rising adoption of connected devices. However, the market's growth is restrained by the lack of accuracy in recognizing regional accents and dialects in speech-to-text API solutions.

Innovations aimed at enhancing speech-to-text solutions for specially-abled individuals and developing API solutions for rare and local languages are expected to create growth opportunities in this market. Nonetheless, data security and privacy concerns pose significant challenges. Additionally, the increasing demand for voice authentication in mobile banking applications is a prominent trend in the speech-to-text API market.

Top 10 Companies in the Speech-to-text API Market

Google LLC

Founded in 1998 and headquartered in California, U.S., Google is a global leader in search engine technology, online advertising, cloud computing, and more. Google’s Speech-to-Text is a cloud-based transcription tool that leverages AI to provide real-time transcription in over 80 languages from both live and pre-recorded audio.

Microsoft Corporation

Established in 1975 and headquartered in Washington, U.S., Microsoft Corporation offers a range of technology services, including cloud computing and AI-driven solutions. Microsoft’s speech-to-text services enable accurate transcription across multiple languages, supporting applications like customer self-service and speech analytics.

Amazon Web Services, Inc.

Founded in 2006 and headquartered in Washington, U.S., Amazon Web Services (AWS) provides scalable cloud computing platforms. AWS’s speech-to-text software supports real-time transcription and translation, enhancing various business applications with its robust infrastructure.

IBM Corporation

Founded in 1911 and headquartered in New York, U.S., IBM Corporation focuses on digital transformation and data security. IBM’s speech-to-text service, part of its Watson Assistant, offers multilingual transcription capabilities for diverse use cases, including customer service and speech analytics.

Verint Systems Inc.

Established in 1994 and headquartered in New York, U.S., Verint Systems specializes in customer engagement management. Verint’s speech transcription solutions provide accurate data via an API, supporting call recording and speech analytics within their contact center solutions.

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Rev.com, Inc.

Founded in 2010 and headquartered in Texas, U.S., Rev.com offers transcription, closed captioning, and subtitling services. Rev AI’s Speech-to-Text API delivers high-accuracy transcription services, enhancing accessibility and audience reach for various brands.

Twilio Inc.

Founded in 2008 and headquartered in California, U.S., Twilio provides communication APIs for voice, text, chat, and video. Twilio’s speech recognition solutions facilitate real-time transcription and intent analysis during voice calls, supporting comprehensive customer engagement.

Baidu, Inc.

Founded in 2000 and headquartered in Beijing, China, Baidu is a leading AI company offering a comprehensive AI stack. Baidu’s speech recognition capabilities are part of its diverse product portfolio, supporting applications across natural language processing and augmented reality.

Speechmatics

Founded in 1980 and headquartered in Cambridge, U.K., Speechmatics is a leader in deep learning and speech recognition. Their speech-to-text API delivers highly accurate transcription by training on vast amounts of data, minimizing AI bias and recognition errors.

VoiceCloud

Founded in 2007 and headquartered in California, U.S., VoiceCloud offers cloud-based voice-to-text transcription services. Their API provides high-quality transcription for applications such as voicemail, voice notes, and call recordings, supporting services in English and Spanish across 15 countries.

Top 10 companies: https://meticulousblog.org/top-10-companies-in-speech-to-text-api-market/

[speechtotextonline]

Speech to Text Online: Transforming the Way We Communicate

In today's fast-paced digital world, efficiency and convenience are paramount. Whether you're a student, professional, or simply someone looking to streamline your daily tasks, the ability to convert speech to text online has become an indispensable tool. This article delves into the realm of speech to text online services, exploring their benefits, functionality, and how they are revolutionizing communication.

Understanding Speech to Text Online:

Speech to text online services utilize advanced algorithms and artificial intelligence to transcribe spoken words into written text. These platforms offer users the ability to dictate messages, documents, emails, and more, eliminating the need for manual typing. By harnessing the power of machine learning, these services continuously improve accuracy and efficiency, making them invaluable in various settings.

Advantages of Speech to Text Online:

Enhanced Productivity: By eliminating the need for manual typing, speech to text online services significantly enhance productivity. Users can dictate messages or documents in a fraction of the time it would take to type them manually.

Accessibility: These services cater to individuals with disabilities or mobility impairments, providing them with a means to communicate effectively without relying solely on traditional typing methods.

Multitasking: With speech to text online, users can multitask efficiently. Whether driving, cooking, or engaging in other activities, individuals can dictate messages or notes hands-free, maximizing efficiency.

Improved Accuracy: Thanks to advancements in machine learning algorithms, speech to text online services boast impressive accuracy rates, minimizing errors and ensuring the faithful transcription of spoken words.

How Speech to Text Online Works:

Speech to text online platforms employ sophisticated algorithms to process spoken language. Upon receiving audio input, these systems analyze speech patterns, vocabulary, and context to generate accurate transcriptions. Through continual learning and refinement, these platforms adapt to users' speech patterns, further enhancing accuracy over time.

Applications of Speech to Text Online:

Professional Settings: Speech to text online services are widely used in professional settings, allowing professionals to dictate emails, reports, and other documents efficiently.

Educational Settings: Students can benefit from speech to text online services to transcribe lectures, take notes, or create study materials, enhancing accessibility and facilitating learning.

Accessibility Tools: These services serve as invaluable accessibility tools for individuals with disabilities, enabling them to communicate effectively and access digital content with ease.

Content Creation: Content creators leverage speech to text online services to draft articles, scripts, and other written content quickly and efficiently, streamlining the content creation process.

Addressing Common Concerns:

Is Speech to Text Online Secure?

Yes, reputable speech to text online platforms prioritize user privacy and employ stringent security measures to safeguard sensitive information. Data encryption, secure servers, and adherence to data protection regulations ensure user confidentiality.

Can Speech to Text Online Replace Manual Typing?

While speech to text online offers unparalleled convenience, it may not completely replace manual typing in all scenarios. Certain tasks may still require manual input, particularly those involving complex formatting or specialized terminology.

How Accurate are Speech to Text Online Services?

Speech to text online services have made significant strides in terms of accuracy, with leading platforms boasting impressive accuracy rates exceeding 90%. However, accuracy may vary depending on factors such as background noise, accents, and speech clarity.

Are Speech to Text Online Services Cost-Effective?

Many speech to text online services offer affordable subscription plans or pay-as-you-go models, making them accessible to individuals and businesses of all sizes. The time saved and productivity gained often outweigh the associated costs.

Can Speech to Text Online Services Recognize Multiple Languages?

Yes, most speech to text online platforms support multiple languages, allowing users to dictate in their preferred language seamlessly. This feature caters to diverse linguistic needs and enhances accessibility for users worldwide.

How Can I Get Started with Speech to Text Online?

Getting started with speech to text online is simple. Choose a reputable platform that aligns with your needs, create an account, and begin dictating. Many platforms offer user-friendly interfaces and intuitive controls, ensuring a seamless user experience.

Conclusion:

Speech to text online services have emerged as indispensable tools, offering unparalleled convenience, efficiency, and accessibility. Whether in professional, educational, or personal settings, these platforms empower users to communicate effectively and streamline their daily tasks. With continued advancements in technology, speech to text online is poised to transform the way we interact with digital content, ushering in a new era of communication.

[shawnjordison]

Microsoft Word's Dictation Tool for Enhanced Accessibility

Unlock the power of the Microsoft Word dictation tool for seamless transcription and enhanced accessibility. #Accessibility #MicrosoftWord #DictationTool #SpeechToText #TechTips

In today’s tutorial, we’re diving into the efficient use of the dictation tool within Microsoft Word. This feature proves invaluable for note-taking during classes or harnessing the power of speech-to-text technology. Video Guide Microsoft Word offers a built-in dictation tool conveniently located on the Home ribbon. Simply navigate to the far right-hand side and you’ll find the option labeled…

[puffypoffin]

Here’s the obligatory skeptical big bro Sunday

Still on that Robinhill agenda btw

[emma-johns]

How Speech-to-Text Works?

Unlocking the magic behind seamless communication: Explore the fascinating journey of how Speech-to-Text transforms spoken words into written text, bridging the gap between speech and technology. 🗣️✨ #SpeechToText #TechnologyInAction"

[creolestudios]

Efficient Transcription Analysis with ChatGPT for Meetings & Conferences ChatGPT's AI model offers a transformative solution for transcription analysis in meetings and conferences. It excels in accuracy, adeptly transcribing various accents, languages, and complex terminology, reducing errors and improving data quality.

[thinkview-1234]

[brain-rot-central]

That post about Astarion speaking Elvish...

Ok but Astarion fucking someone and panting Elvish into their ear. Just... unloading his deepest confessions of love because he's within the safety of his partner not understanding.

"I love you, I love you, please don't ever leave me, need you, need you, I hate how much I need you."

Or, conversely, AA:

"I love you, come back to me, I am nothing without you, I need you, need you, please, darling, my darling, my bride, my consort, the only one who owns my deadened heart."

[meltedmush]

Airplaneeee! + Extra Art!

[bruciemilf]

I like the thought of Battinson speaking like a My Chemical Romance song , but also, I think it’d be so unique and so cool and genius and groundbreaking if he spoke like Duchess from Aristocats.

Just him with little Dick? Asking him to PRETTY PLEASE let him kidnap the creepy but cute little kid next door.

“Oh, no, my darling, that’s just awfully rude. You have to ask the little baby first.”

[prajwal-agale001]

Speech-to-Text API: Navigating Market Trends and Challenges Towards 2030

Meticulous Research®—a globally recognized leader in market research—has released a comprehensive report titled “Speech-to-Text API Market by Offering (Solutions, Services), Deployment Mode, Organization Size, Application (Transcription, Customer Experience & Analytics, Subtitle & Caption Generation), End User (B2B, B2C, B2G, G2C), Geography - Global Forecast to 2030.” This report provides valuable insights into the dynamic landscape of the speech-to-text API market, projecting it to reach an impressive $10 billion by 2030, with a robust CAGR of 17.3% from 2023 to 2030.

Download Sample Report Here - https://www.meticulousresearch.com/download-sample-report/cp_id=5473?utm_source=article&utm_medium=social&utm_campaign=15-10-2024

Market Growth Drivers

The speech-to-text API market is being propelled by several key factors:

Proliferation of Voice-Enabled Devices: The increasing prevalence of devices equipped with voice recognition technology is driving demand for speech-to-text solutions. Consumers and businesses are embracing these technologies for their convenience and efficiency.

Rising Adoption of Voice and Speech Technologies: As industries realize the potential of voice and speech technologies for transcription and analytics, the demand for sophisticated speech-to-text solutions is expected to rise significantly.

Technological Advancements: Continuous innovation in AI and machine learning algorithms has improved the accuracy and efficiency of speech recognition technologies, further enhancing market growth.

Connected Devices: The growing ecosystem of connected devices has created new opportunities for implementing speech-to-text APIs across various applications, from customer service to accessibility features for people with disabilities.

However, despite these positive trends, the market faces challenges that could impede its growth:

Accuracy Issues: A significant hurdle for speech-to-text API solutions is their lack of accuracy in recognizing regional accents and dialects, which can hinder adoption in diverse markets.

Data Security and Privacy Concerns: As more businesses adopt these technologies, the potential for data breaches raises concerns about user privacy and security, making it crucial for providers to implement robust security measures.

Emerging Opportunities

While challenges exist, there are also exciting growth opportunities in the market:

Innovations for Specially-Abled Individuals: There is an increasing focus on developing speech-to-text solutions that cater to the needs of specially-abled individuals, enhancing accessibility in various domains.

Support for Rare and Local Languages: The creation of speech-to-text APIs capable of understanding and processing rare and local languages presents a significant market opportunity, especially in regions with diverse linguistic backgrounds.

Voice Authentication in Mobile Banking: The rising demand for secure voice authentication methods in mobile banking applications highlights a prominent trend that could drive further growth in the speech-to-text API sector.

Market Segmentation

The speech-to-text API market is systematically segmented based on offering, deployment mode, organization size, application, and end user, allowing for a granular analysis of market dynamics.

Offering Segmentation

The market is divided into solutions and services. In 2023, the solutions segment is expected to dominate the market share, driven by the growing adoption of advanced electronic devices and the increasing demand for voice-enabled applications. This segment is projected to maintain a higher CAGR during the forecast period as businesses increasingly leverage speech technology for transcription and analytics.

Deployment Mode Segmentation

In terms of deployment mode, the market is categorized into on-premise and cloud-based solutions. The cloud-based deployment segment is anticipated to capture a larger market share in 2023, largely due to the rising popularity of cloud computing among small and medium-sized enterprises (SMEs). Organizations are progressively transitioning to cloud infrastructures, which offer numerous advantages such as scalability, reduced in-house infrastructure requirements, and easy installation of speech-to-text APIs. Consequently, this segment is expected to demonstrate a higher CAGR throughout the forecast period.

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Organization Size Segmentation

When examining organization size, the market is divided into large enterprises and small & medium-sized enterprises (SMEs). In 2023, SMEs are projected to hold a larger market share, driven by increasing awareness of the advantages of speech-to-text APIs. The SMEs segment is also anticipated to exhibit the highest CAGR during the forecast period, as these organizations seek cost-effective solutions to enhance operational efficiency.

Application Segmentation

The speech-to-text API market can be segmented based on application, which includes:

Transcription

Customer Experience & Analytics

Media & Communications Monitoring

Subtitle & Caption Generation

Consumer Electronics Command & Control

Automotive Command & Control

Other Applications

In 2023, the transcription segment is expected to command the largest market share, attributed to technological advancements and the growing adoption of speech technology for transcription services. Meanwhile, the subtitle and caption generation segment is poised to experience the highest CAGR during the forecast period, reflecting the increasing demand for accessibility in digital content.

End User Segmentation

The market is also segmented based on end users, classified into B2B, B2C, B2G, and G2C. The B2B segment is further divided into industries such as IT & Telecommunications, BFSI (Banking, Financial Services, and Insurance), Media & Entertainment, Healthcare, and Education. In 2023, the IT & Telecommunications sector is expected to hold the largest market share due to the growing adoption of speech-to-text solutions in call centers for analyzing business conversations. Notably, the healthcare segment is projected to achieve the highest CAGR during the forecast period, as healthcare providers increasingly utilize speech-to-text APIs for improved documentation and patient care.

Geographic Segmentation

From a geographic standpoint, the speech-to-text API market is analyzed across various regions, including North America, Asia-Pacific, Europe, Latin America, and the Middle East & Africa. North America is anticipated to maintain the largest market share in 2023, primarily due to the widespread integration of speech and voice recognition technologies in consumer electronics, the availability of numerous voice-enabled smart devices, and a high adoption rate of advanced technologies. Conversely, the Asia-Pacific region is expected to witness the highest CAGR during the forecast period, driven by rising investments in technology and a growing number of tech startups in the region.

Key Players in the Market

The speech-to-text API market is characterized by intense competition, with several key players leading the charge:

Google LLC (U.S.)

Microsoft Corporation (U.S.)

Amazon Web Services, Inc. (U.S.)

IBM Corporation (U.S.)

Verint Systems Inc. (U.S.)

Rev.com, Inc. (U.S.)

Twilio Inc. (U.S.)

Baidu, Inc. (China)

Speechmatics (U.K.)

VoiceCloud (U.S.)

VoiceBase, Inc. (U.S.)

Amberscript Global B.V. (Netherlands)

Voci Technologies, Inc. (U.S.)

AssemblyAI, Inc. (U.S.)

Vocapia Research SAS (France)

These key players are actively innovating and expanding their product offerings to enhance their competitive edge in the market.

Conclusion

In conclusion, the speech-to-text API market is poised for significant growth, driven by technological advancements, the proliferation of voice-enabled devices, and increasing demand for efficient transcription solutions. While challenges related to accuracy and data security remain, emerging opportunities in accessibility solutions and voice authentication are likely to propel the market forward.

With a projected market value of $10 billion by 2030, stakeholders in the industry must strategically navigate this evolving landscape to capitalize on the numerous opportunities that lie ahead. As businesses and consumers alike continue to embrace voice technologies, the speech-to-text API market stands to benefit immensely in the coming years.

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