py-webrtcvad
vosk-api
py-webrtcvad | vosk-api | |
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2 | 61 | |
1,894 | 7,149 | |
- | 3.1% | |
0.0 | 6.6 | |
12 months ago | 15 days ago | |
C | Jupyter Notebook | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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.
vosk-api
- Infini-Gram: Scaling unbounded n-gram language models to a trillion tokens
- VOSK Offline Speech Recognition API
- Apollo dev posts backend code to Git to disprove Reddit’s claims of scrapping and inefficiency
- Working Vosk model?
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Creating a live transcript bot using Vosk Ai
So I don't know if my issue comes from my lack of knowledge of discord.js/voice or VOSK. so I guess the most important thing I need to see is if I am creating a proper stream for the Vosk API to capture the audio. if I can figure out how to capture an audio stream I can probably import that in to vosk and figure out how to use vosk myself. but right now I can't even get close! Thank you in advance...Sorry if this isn't the right place for this
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What are the aplications of rust in machine learning ?
I remember a while ago checking out the issues with Vosk speech recognition (written in C). A handful of it's issues are related to segfaults and null pointers.
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Show HN: Willow – Open-Source Privacy-Focused Voice Assistant Hardware
first, good initiative! thanks for sharing. i think you gotta be more diligent and careful with the problem statement.
checking the weather in Sofia, Bulgaria requires cloud, current information. it's not "random speech". ESP SR capability issues don't mean that you cannot process it locally.
the comment was on "voice processing" i.e. sending speech to the cloud, not sending a call request to get the weather information.
besides, local intent detection, beyond 400 commands, there are great local STT options, working better than most cloud STTs for "random speech"
https://github.com/alphacep/vosk-api
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ChatGPT API is now officially available, priced at $0.002 per 1k tokens
I did a one-off text to speech tool for someone last year and had pretty good results with VOSK. One upside is that it works offline, although I imagine if you use TTS a lot you'll notice issues I didn't.
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Looking to mod a Vector with GPT-3, what are my options?
You can use vosk-api (https://github.com/alphacep/vosk-api) to listen to your audio, transform it to text, and then post the text to GPT-3, then using the vector sdk, have your responses said by vector.
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A new voice assistant that looks promising
The set up script wants to download https://github.com/alphacep/vosk-api/releases/download/v0.3.45/vosk-model-en-v0.3.45.zip, but this resource is not found. AFAICT all releases never contained a model file. Remedy: hardcode one model from https://alphacephei.com/vosk/models. I guessed and picked the one with the closest name, vosk-model-en-us-0.22.zip, just so I could continue.
What are some alternatives?
plaidml - PlaidML is a framework for making deep learning work everywhere.
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
trashbot - Trashbot helper AI assistant
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
DeepSpeech-examples - Examples of how to use or integrate DeepSpeech
vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries
openai-whisper-realtime - A quick experiment to achieve almost realtime transcription using Whisper.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
wer_are_we - Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
AutoSub - A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui
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 - Install Mozilla DeepSpeech on a Raspberry Pi 4