DeepSpeech-examples
trashbot
| DeepSpeech-examples | trashbot | |
|---|---|---|
| 2 | 1 | |
| 800 | 0 | |
| 0.9% | - | |
| 0.0 | 10.0 | |
| 9 months ago | almost 2 years ago | |
| Python | Python | |
| - | MIT License |
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DeepSpeech-examples
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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?
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?
whisper
py-webrtcvad - Python interface to the WebRTC Voice Activity Detector
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
dragonfly - Speech recognition framework allowing powerful Python-based scripting and extension of Dragon NaturallySpeaking (DNS), Windows Speech Recognition (WSR), Kaldi and CMU Pocket Sphinx
openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.
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.
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)
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
wer_are_we - Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.