mycroft-precise
vosk-api
mycroft-precise | vosk-api | |
---|---|---|
3 | 59 | |
797 | 7,057 | |
1.4% | 1.9% | |
0.0 | 6.6 | |
5 months ago | 9 days ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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.
mycroft-precise
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Mycroft – open-source voice assistant
> It reliably responds to the wakeword ("hey Mycroft") from men, and only responds about 50% of the time to women.
They have instructions on how to train your own version of the wakeword listener.
https://github.com/MycroftAI/mycroft-precise#train-your-own-...
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I'm working on a bot and could use your help!
The most important part of Astra is detecting when someone is speaking to her. This is done using a RNN (recurrent neural network) which is implemented by Mycroft's Precise. In order to use this, we need to collect voice data (from many people) of them saying Astra, potentially multiple times, and train a model using it. That's where you come in.
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Is there a general purpose teachable "tone detection" sensor?
I've never tried it, but theoretically a wake word system like Mycroft Precise or Raven might not care too much whether your "wake word" is a jingle?
vosk-api
- 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.
- Google Assistant alternative - Dicio assistant app for Android
What are some alternatives?
Porcupine - On-device wake word detection powered by deep learning
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
react-native-spokestack - Spokestack: give your React Native app a voice interface!
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
kaldi-active-grammar - Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time
vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries
pico-wake-word - MicroSpeech Wake Word example on the Raspberry Pi Pico. This is a port of the example on the TensorFlow repository.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
AutoSub - A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
DeepSpeech - Install Mozilla DeepSpeech on a Raspberry Pi 4