wer_are_we
trashbot
| wer_are_we | trashbot | |
|---|---|---|
| 4 | 1 | |
| 1,862 | 0 | |
| - | - | |
| 1.8 | 10.0 | |
| almost 2 years ago | almost 2 years ago | |
| Python | ||
| - | MIT License |
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wer_are_we
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Lichess Voice Recognition Beta is now Live!
https://github.com/syhw/wer_are_we https://github.com/Franck-Dernoncourt/ASR_benchmark#benchmark-results
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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?
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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
trashbot
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Whisper – open source speech recognition by OpenAI
One thing they don't touch much on is the STT, as they use models from third parties. You could definitely do something that utilizes this model and then feeds the tokens to some of their parsing code. I've been working on something similar to this, but burned out around adding the STT portion [0].
[0]: https://github.com/Sheepybloke2-0/trashbot - It was called trashbot because the final implementation was going to look like oscar the grouch in a trashcan displaying the reminders.
What are some alternatives?
plaidml - PlaidML is a framework for making deep learning work everywhere.
py-webrtcvad - Python interface to the WebRTC Voice Activity Detector
openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.
dragonfly - Speech recognition framework allowing powerful Python-based scripting and extension of Dragon NaturallySpeaking (DNS), Windows Speech Recognition (WSR), Kaldi and CMU Pocket Sphinx
DeepSpeech-examples - Examples of how to use or integrate DeepSpeech
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 - A latent text-to-image diffusion model
whisper - Robust Speech Recognition via Large-Scale Weak Supervision