DeepSpeech-examples
wer_are_we
| DeepSpeech-examples | wer_are_we | |
|---|---|---|
| 2 | 4 | |
| 801 | 1,862 | |
| 0.9% | - | |
| 0.0 | 1.8 | |
| 9 months ago | almost 2 years ago | |
| Python | ||
| - | - |
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.
DeepSpeech-examples
-
Whisper – open source speech recognition by OpenAI
Perhaps this could be adapted? https://github.com/mozilla/DeepSpeech-examples/blob/r0.9/mic...
- anyone know of a free online audio to text transcriber?
wer_are_we
-
Lichess Voice Recognition Beta is now Live!
https://github.com/syhw/wer_are_we https://github.com/Franck-Dernoncourt/ASR_benchmark#benchmark-results
-
OpenAI Whisper Model Comparison
Great breakdown… with some interesting results and a ton of effort.
Are there any open benchmarks like this for all models that are actually runnable like the data exposed in https://github.com/syhw/wer_are_we but with some of your additional metrics?
-
Whisper – open source speech recognition by OpenAI
The authors do explicitly state that they're trying to do a lot of fancy new stuff here, like be multilingual, rather than pursuing just accuracy.
[1] https://github.com/syhw/wer_are_we
- This sub is NOT bullying you
What are some alternatives?
whisper
plaidml - PlaidML is a framework for making deep learning work everywhere.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.
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)
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.
py-webrtcvad - Python interface to the WebRTC Voice Activity Detector
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
trashbot - Trashbot helper AI assistant
stable-diffusion - A latent text-to-image diffusion model