py-webrtcvad
trashbot
| py-webrtcvad | trashbot | |
|---|---|---|
| 2 | 1 | |
| 1,894 | 0 | |
| - | - | |
| 0.0 | 10.0 | |
| 12 months ago | almost 2 years ago | |
| C | Python | |
| GNU General Public License v3.0 or later | MIT License |
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py-webrtcvad
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Whisper – open source speech recognition by OpenAI
Haven’t tried it yet but love the concept!
Have you thought of using VAD (voice activity detection) for breaks? Back in my day (a long time ago) the webrtc VAD stuff was considered decent:
https://github.com/wiseman/py-webrtcvad
Model isn’t optimized for this use but I like where you’re headed!
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Ask HN: I want to get started with Speech-to-Text. Where do I begin?
As part of ETL or just basic understanding about the how the speech data is handled try this tool : https://github.com/wiseman/py-webrtcvad
It is a python wrapper for a library for voice activity detection. It acts as a starting point while working on speech recognition problems. Helped me understand and discover a lot of concepts related to audio signal and data when I was in your shoes.
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.
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
openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.
wer_are_we - Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
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)
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
whisper - Robust Speech Recognition via Large-Scale Weak Supervision