#zhang chuchu

[silylilyanimove]

[justanie]

I've been so involved in going back to school that I can barely focus on my drawing planned for these dates...in the meantime I'll leave this old drawing from 2021!!

[waffulaa]

VOCALOID4 Zhang Chuchu reference sheet.

[vocaloidfactoftheday]

Zhang Chuchu's voicebank has been preserved and uploaded on the Internet Archive (though due to the discontinuation of her serial codes, she can only be used as a trial).

Her voicebank is installed under the name "Carenna Crystal." This name is used for an apparently identical sounding Chinese VOCALOID5 voicebank that remains unreleased, and never officially announced.

(source: vocarchive on archive.org)

[vocalsynthbdays]

happy birthday zhang chuchu(vocaloid 4) !!!!!!! [aug 9]

Zhang Chuchu is a chinese synth developed by Shanghai Wangcheng in collaboration with Migu Comics, and released on 30 apr 2018, though her character birthday is 9 aug. shes voiced by Wan Su, who was chosen through an audition, and her illustrator has not been revealed. chuchu is originally from a manhua called Chǔchǔ Dòng Rén, published by Migu Comics, in which she looked very different. shes a private vb so only select people can use her. she is 21yo and 168cm tall.

chuchu in Chǔchǔ Dòng Rén

logo

ref

[mvvocaloidgifs]

【苍穹·墨清弦·章楚楚原创曲】Hysteria【SinghP】

[welcometothejianghu]

A little Legend of Fei In Real Life tonight, because I feel like looking at pictures of attractive people. (Skipping the two mains, because it's well-documented what they look like out of costume.)

Zhang Hui Wen / Wu Chuchu

Chen Ruo Xuan / Li Sheng

Zhang Xin Yu / Yang Jin

Leng Ji Yuan / Ying Hecong

Sun Jian / Yin Pei

Zhou Jie Qiong / Li Yan

Geng Le / Shen Tianshu

Guo Xin / Mu Xiaoqiao

Dong Xuan / Duan Jiuniang

[staincastle]

faz icon da zhang jingyi, por favor!! e queria dizer aqui que sua galeria é a minha fav de todo o tumblr, seus icons sempre são tão maravilhosos que fico até triste de não poder usar todos de uma vez só 😞

olá chuchu!!!! [pani no sistema alguém me desconfigurou] tô aosbdkdn me deixou sem reação de verdade, fiquei >imensamente< feliz por receber essa ask vius, não tenho nem palavras direito pra descrever oq estou sentindo 🫂💗 qjshkd e aqui estão seu icons 📦, muito obrigado por pedir e dar tanto carinho pra galeria, você é incrível 🩷🤲🏻

[confluencextras]

[Image Description: Nine square transparents of different Vocaloids. They are Aoki Lapis, Tone Rion, Anri Rune, Zhang Chuchu, Yuecheng, and Yao Luniang. /end ID]

[thelaithlyworm]

DMBJ Rare Pair Exchange Reveals (3)

“On The Roof”

I read some chatter on the Yucun discord server about Chuchu and Zhang Qiling as a possible romantic pairing - and while I couldn't quite get my head around that, I could see them as friends. They know from quiet, and there’s a bit of a troll lurking inside both their hearts. And I think they both experience the world as a bit hostile, for one reason or another.

This fic for Merinnan is something of a love letter to anyone whose health, disability, or temperament makes large gatherings a bit of a trial. Thank god for cats, is all I can say. But still - I wanted to show that the Wushanju crowd was still looking out for the new girl, hence efforts to learn ZGS and occasionally coming up to sit with her and argue antiques and feed her and such.

Also fun to break out tiny canon details like Ghost Whistles.

“Not Exactly Sanzang”

So Huo Xiuxiu and Wang Pangzi have, pencilled into the Sand Sea plot, an Epic Adventure, where they basically play bait to draw the attention of people with ill intentions. It’s epic, it’s very dangerous, and we know very little about it.

I wanted to do some sassy cat-burglar stuff for the pair of them but in the end the muse would only co-operate if I went for ‘bantering in a sticky situation’. Despite a few bruises, I think they came out of it okay.

She wriggled her icy toes in the cool air and sighed. “Would you like to play another game of chess, Pang-ge?”

“Not without a board,” he said immediately. “This old, fat man needs visual aids…”

(Xiuxiu learned to play chess from Xiao Hua-gege. These days they have three imaginary boards on the go any time they play, and for at least one game both of them try to lose. Pangzi… would rather play cards.)

“Black Dog”

This was a last minute Treat for Shadaras, and it looks like I’m unable to write a Daemon AU without a touch of eldritch. It’s my thing?

It’s always entertaining thinking up what kind of daemon a character might have - some are easy, like a badger for Pangzi, and I think pretty much everyone in the Wu Family, by blood or employment, ends up with a dog or they move to a different family.

I wrote Li Cu as unSettled because there’s interesting characterisation to be had watching a daemon shift, even though it’s a bit late. (I imagine it’s socially embarrassing to be unSettled, as old as he is, and that’s not helping his mood any.)

The black dog has not said a word since the second time Wu Xie came down Mt Changbai, nor does he make a habit of introducing her by name. (Pangzi Has A Concern.) This is of course for characterisation reasons and not because I find making up names a bit stressful.

She’s a good dog! Many loyal! Much teeth!

[celebratedaily]

August 9th - Fictional Birthdays

Yellow Ranger (Mighty Morphin Power Rangers) Soleil (Animal Crossing) Zhang Chuchu (Vocaloid)

[jcmarchi]

Leveraging language to understand machines

New Post has been published on https://thedigitalinsider.com/leveraging-language-to-understand-machines/

Leveraging language to understand machines

Natural language conveys ideas, actions, information, and intent through context and syntax; further, there are volumes of it contained in databases. This makes it an excellent source of data to train machine-learning systems on. Two master’s of engineering students in the 6A MEng Thesis Program at MIT, Irene Terpstra ’23 and Rujul Gandhi ’22, are working with mentors in the MIT-IBM Watson AI Lab to use this power of natural language to build AI systems.

As computing is becoming more advanced, researchers are looking to improve the hardware that they run on; this means innovating to create new computer chips. And, since there is literature already available on modifications that can be made to achieve certain parameters and performance, Terpstra and her mentors and advisors Anantha Chandrakasan, MIT School of Engineering dean and the Vannevar Bush Professor of Electrical Engineering and Computer Science, and IBM’s researcher Xin Zhang, are developing an AI algorithm that assists in chip design.

“I’m creating a workflow to systematically analyze how these language models can help the circuit design process. What reasoning powers do they have, and how can it be integrated into the chip design process?” says Terpstra. “And then on the other side, if that proves to be useful enough, [we’ll] see if they can automatically design the chips themselves, attaching it to a reinforcement learning algorithm.”

To do this, Terpstra’s team is creating an AI system that can iterate on different designs. It means experimenting with various pre-trained large language models (like ChatGPT, Llama 2, and Bard), using an open-source circuit simulator language called NGspice, which has the parameters of the chip in code form, and a reinforcement learning algorithm. With text prompts, researchers will be able to query how the physical chip should be modified to achieve a certain goal in the language model and produced guidance for adjustments. This is then transferred into a reinforcement learning algorithm that updates the circuit design and outputs new physical parameters of the chip.

“The final goal would be to combine the reasoning powers and the knowledge base that is baked into these large language models and combine that with the optimization power of the reinforcement learning algorithms and have that design the chip itself,” says Terpstra.

Rujul Gandhi works with the raw language itself. As an undergraduate at MIT, Gandhi explored linguistics and computer sciences, putting them together in her MEng work. “I’ve been interested in communication, both between just humans and between humans and computers,” Gandhi says.

Robots or other interactive AI systems are one area where communication needs to be understood by both humans and machines. Researchers often write instructions for robots using formal logic. This helps ensure that commands are being followed safely and as intended, but formal logic can be difficult for users to understand, while natural language comes easily. To ensure this smooth communication, Gandhi and her advisors Yang Zhang of IBM and MIT assistant professor Chuchu Fan are building a parser that converts natural language instructions into a machine-friendly form. Leveraging the linguistic structure encoded by the pre-trained encoder-decoder model T5, and a dataset of annotated, basic English commands for performing certain tasks, Gandhi’s system identifies the smallest logical units, or atomic propositions, which are present in a given instruction.

“Once you’ve given your instruction, the model identifies all the smaller sub-tasks you want it to carry out,” Gandhi says. “Then, using a large language model, each sub-task can be compared against the available actions and objects in the robot’s world, and if any sub-task can’t be carried out because a certain object is not recognized, or an action is not possible, the system can stop right there to ask the user for help.”

This approach of breaking instructions into sub-tasks also allows her system to understand logical dependencies expressed in English, like, “do task X until event Y happens.” Gandhi uses a dataset of step-by-step instructions across robot task domains like navigation and manipulation, with a focus on household tasks. Using data that are written just the way humans would talk to each other has many advantages, she says, because it means a user can be more flexible about how they phrase their instructions.

Another of Gandhi’s projects involves developing speech models. In the context of speech recognition, some languages are considered “low resource” since they might not have a lot of transcribed speech available, or might not have a written form at all. “One of the reasons I applied to this internship at the MIT-IBM Watson AI Lab was an interest in language processing for low-resource languages,” she says. “A lot of language models today are very data-driven, and when it’s not that easy to acquire all of that data, that’s when you need to use the limited data efficiently.” 

Speech is just a stream of sound waves, but humans having a conversation can easily figure out where words and thoughts start and end. In speech processing, both humans and language models use their existing vocabulary to recognize word boundaries and understand the meaning. In low- or no-resource languages, a written vocabulary might not exist at all, so researchers can’t provide one to the model. Instead, the model can make note of what sound sequences occur together more frequently than others, and infer that those might be individual words or concepts. In Gandhi’s research group, these inferred words are then collected into a pseudo-vocabulary that serves as a labeling method for the low-resource language, creating labeled data for further applications.

The applications for language technology are “pretty much everywhere,” Gandhi says. “You could imagine people being able to interact with software and devices in their native language, their native dialect. You could imagine improving all the voice assistants that we use. You could imagine it being used for translation or interpretation.”

[vocaloidfactoftheday]

Vocaloids with different birthdays than their release dates!

most vocaloids have their birthdays celebrated on the day they were first released for vocaloid. but did you know that some vocaloids have canon birthdays separate from their release dates?

some of these are for interesting reasons, and may be explained in their own posts. but in the meantime, here is a bonus post of the vocaloids with separate canon birthdays!

they are sorted by release date.

2010

Nekomura Iroha - released for V2 on October 22, birthday is May 14

2011

SeeU - released for V3 on October 21, birthday is August 30

2012

MAYU - released for V3 on December 5, birthday is May 6

2013

Anri Rune - "released" (revealed) on July 23, birthday is August 6, 1990

ZOLA PROJECT - released on June 20. they do not have exact canon birthdays, but they do have canon Zodiac signs, which indicates they do have separate birthdays. YUU is Gemini (May 21 - June 21), KYO is Aquarius (January 20 - February 1), and WIL is Capricorn (December 22- January 19).

2014

Tohoku Zunko - released for V3 on June 5, birthday is October 27

2015

Yuezheng Ling - released for V3 on July 17, birthday is April 12

ARSLOID - released for V4 on September 23, birthday is August 5

2016

Otori Kohaku (unity-chan!) - released for V4 on January 14, birthday is August 13

Xingchen - released for V4 on April 13, birthday is August 12

2017

Yuezheng Longya - released for V4 on June 24, birthday is October 2

MATCHA - released for V4 on July 12, birthday September 13

AZUKI - released for V4 on July 12, birthday is June 11

2018

Kizuna Akari - released for V4 on April 26, birthday is December 22

Mirai Komachi - released for V4 on May 24, birthday is February 22

Yuecheng - released (privately) for V4 on April 30, birthday is July 28

Zhang Chuchu - released (privately) for V4 on April 30, birthday is August 9

Zhiyu Moke - released for V4 on August 2, birthday is December 10

Mo Qingxian - released for V4 on August 2, birthday is May 20

seems like this practice suddenly got a lot more common for vocaloids released in 2018!

[burgertronfangirl]

Which Vocaloid cardiophilia character will I roleplay? part 1

Zhanyin Lorra

Zhang Chuchu

Yuzuki Yukari

Yumemi Nemu

Yuezheng Ling

Yanhe

Xingchen

Xin Hua

Vy1

Uni

Tone Rion

Tohoku Zunko

Sweet Ann

Sonika

Sf-A2 Miki

Seeu

Sarah

Sachiko

Ruby

Ring Suzune

Rana

Prima

Otori Kohaku

Otomachi Una

Ona

Nekomura Iroha

Mo Qingxian

Miriam

Mirai Komachi

Mew

Merli

Meiko

Meika Mikoto

Meika Hime

Megurine Luka

Mayu

Masaoka Azuki

Maika

Macne Petit

Macne Nana

[anniebotao3]

The Hairpin

Published 16 November 2021 | T-rated | 1948 words | Oneshot | Ongoing series

Tags: Ji Chong (The Wolf TV)/Xie Yun (Bandits); Xie Yun & Zhou Fei (Bandits); Wang Yi Bo/Xiao Zhan adjascent; Ji Chong (The Wolf TV); Xie Yun (Bandits); Zhou Fei (Bandits); Wu Chuchu (Bandits); Zhang Chenfei (Bandits); Canon Compliant; Crossover Pairings; Episode: s01e06 Legend of Fei; Dialogue Lifted Directly From The Show; Gift Giving; Reference to Light Dom/sub; zswwlsfyyizhanverse: day 4; The Romance of Gifting A Hairpin; Wang Yi Bo/Xiao Zhan | Sean Character Combinations

Part 3: Encounters Across the Jianghu

What follows Xie Yun’s run in with Ji Chong in Huo Lintao’s mountain prison is a daring escape from said prison with Zhou Fei, a dangerous confrontation with Mu Xiaoqiao, and then a trek towards Huarong led by Zhang Chenfei. Despite there being no shortage of excitement, Xie Yun’s fingers, and indeed his thoughts, don’t stray far from the zan placed in his hair or the way Ji Chong’s eyes had lingered on him after he’d placed it there.