AIDungeon
common-voice
AIDungeon | common-voice | |
---|---|---|
21 | 66 | |
2,803 | 3,250 | |
- | 0.5% | |
0.4 | 10.0 | |
almost 4 years ago | about 16 hours ago | |
Python | TypeScript | |
MIT License | Mozilla Public License 2.0 |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AIDungeon
- DreamFusion: Text-to-3D using 2D Diffusion
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I created Once Upon AI Time — a Stable Diffusion / GPT-3 powered short story generator!
I have a GPT-Neo AI-Dungeon game in my host. Don't know how to take that to do the same project as yours. But would be interesting. https://github.com/Latitude-Archives/AIDungeon
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When talking about "better AI", I think we need to differentiate between "smarter AI" and "more human-like AI".
Its fine-tuning training data is here and it is in the form of choose your own adventures. Programs involving text parsing couldn't be used as training data because it requires the player to type something in.
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I am writing my bachelors thesis on AI Dungeon, does anybody know what programming language it was written in?
For what it's worth, the code for the original version of AI Dungeon can be found on the AI Dungeon Github page. If the language stats at the bottom of the page are accurate, then it would seem that, at the very least, the original version of AI Dungeon was primarily written in Python. This is the only info I could find relating to what programming language was used for AID.
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New version of https://github.com/Latitude-Archives/AIDungeon ?
Is there a new version of this (or does anyone have a ZIP I could download)? The most recent version here (https://github.com/Latitude-Archives/AIDungeon) is completely broken for python 3.9, tensorflow 2.6, and with my computer's OS (ubuntu 21). It also only includes a .torrent but I have no idea how to make that into the json model.
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Aidungeon
Its open source, so you can go and look for yourself to see exactly how it was done: https://github.com/Latitude-Archives/AIDungeon
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i didn't know this was possible
Well, the base GPT-3 model, made by OpenAI, was just scraped text data from all around the internet. GPT-3 was trained on more text than what any person could realistically read in their lifetime. I'm pretty sure that even OpenAI, themselves, don't really know what exactly the AI was trained with. As for Latitude, they finetuned their models on a 30MB dataset, which you can download and look at here. Their finetuning dataset consists of a total of about 90 CYOA games from the website, ChooseYourStory.
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What the heck did AIDungeon tune their model with? How are these misc. GPT-J projects managing to create outputs like this (all generated)?
Warning NSFW/NSFL AID training material
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Not sure if this helps, or if it's just there for our nostalgia.
AI Dungeon's "Censored Words"
- I believe that AID should become open source.
common-voice
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OpenAI's Whisper is another case study in Colonisation
Mozillas Common Voice Project (https://commonvoice.mozilla.org/) is creating an open dataset for many minority languages to make it easier to support them in STT systems. If you speak one of these languages please consider donating a few minutes of your voice.
- Mozilla Launching a Public Voice Dataset
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Common Voice
> it was not at all obvious to me there was some way of speeding up getting a language in the first place.
Yeah, that's the biggest failing of Common Voice in my opinion. Getting a new language up to speed could be much improved by simply adding a few links to documentation, but even the existing links are broken, which I reported in March 2022... https://github.com/common-voice/common-voice/issues/3637
> I have no interest in wasting time contributing to a UI translation I actively don't want to be subjected to
Translating the UI may still help you get other people to record, even if you don't want to use it yourself.
> I'll see if I can submit some sentences at least
If you want to go faster, there's also a project to extract sentences from Wikipedia etc. in small doses Mozilla's lawyers and Wikimedia's lawyers have agreed are fair use. I think you'd only need to define how Norwegian Bokmål separates sentences. (E.g. after a period but not if it's a common abbreviation like "etc." in the preceding sentence.)
- Practice speaking and listening of your target language on Common Voice
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Web Speech API is (still) broken on Linux circa 2023
There is a lot of TTS and SST development going on (https://github.com/mozilla/TTS; https://github.com/mozilla/DeepSpeech; https://github.com/common-voice/common-voice). That is the only way they work: Contributions from the wild.
- How do I get audio data from from native speakers for Anki?
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Web Speech API is not available in the Quest browser
Since you're interested in STT and TTS, let me just plug in Mozilla's Common Voice, a way for everyone to contribute to an open source data set for STT. You can record yourself or verify other people's recordings!
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Mozilla Common Voice - Korean Language is live - Help Build a Korean Corpus for Training AI/Navi/etc
[커먼보이스 전자우편](mailto:[email protected]) || Common Voice || Korean Language Homepage || FAQs || Speaking Aloud and Reviewing Recordings || Sentence Collector || NVidia/NeMo
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Ask HN: Open-source video transcribing software?
How can it be used for transcription?
In their website I only see an interface for either uploading audio or submitting transcriptions:
https://commonvoice.mozilla.org/es
The Github repo they mention (https://github.com/common-voice/common-voice) seems to be just that sample collection software. I do not see where I can download the software to transcribe audio.
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[D] Will continuous model development inevitably lead to data leakage and overfitting?
A practical example: in the speech community, getting good results on datasets such as TIMITwould not be revolutionary, since it's super small and very old. On the contrary, things like Common Voice (which is constantly crowd-sourced) would be much more impactful. Just my two cents :)
What are some alternatives?
storybro - A community maintained fork of AI Dungeon 2 by Nick Walton
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
PySyft - Perform data science on data that remains in someone else's server
vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries
pyenv - Simple Python version management
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
wrAIter - AI writing assistant with a voiced narrator
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
PaddleSpeech - Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
gpt-j-6b-gpu-docker
forced-alignment-tools - A collection of links and notes on forced alignment tools