edgedict
common-voice
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| edgedict | common-voice | |
|---|---|---|
| 1 | 66 | |
| 281 | 3,250 | |
| - | 1.0% | |
| 0.0 | 10.0 | |
| over 2 years ago | about 11 hours ago | |
| Python | TypeScript | |
| GNU General Public License v3.0 or later | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
edgedict
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Mozilla Common Voice Adds 16 New Languages and 4,600 New Hours of Speech
I created edgedict[0] a year ago part of my side projects. At that time this is the only open source STT with streaming capabilities. If anyone is interested the pretrained weights for english and chinese is available.
[0] https://github.com/theblackcat102/edgedict
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?
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.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
allosaurus - Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries
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.
flashlight - A C++ standalone library for machine learning
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)
vakyansh-models - Open source speech to text models for Indic Languages
forced-alignment-tools - A collection of links and notes on forced alignment tools