vosk-api
picovoice
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| vosk-api | picovoice | |
|---|---|---|
| 59 | 13 | |
| 6,993 | 495 | |
| 3.3% | 5.9% | |
| 5.9 | 8.9 | |
| 11 days ago | 7 days ago | |
| Jupyter Notebook | Python | |
| 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.
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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.
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"
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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
picovoice
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Speech Recognition in Unity: Adding Voice Input
Download the Picovoice Unity package
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Speech Recognition using Arduino Nano 33
Picovoice Platform GitHub Repository
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Speech Recognition with SwiftUI
Below are some useful resources: Open-source code Picovoice Platform SDK Picovoice website
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Speech Recognition with STM32: Building hands-free voice experiences
git clone --recurse-submodules \ https://github.com/Picovoice/picovoice.git
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Day 20: On-device Voice Assistant with Flutter
You can use the demo code we open-sourced. It includes wake word and context files, so you can start with them.
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Day 7: Making Cool Raspberry Pi Projects even Cooler with Voice AI (2/4)
You can check out the GitHub repo to see more open-source demos
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Offline Voice Assistant on a Microcontroller with 192KB RAM
Although interestingly enough, the README for the linked repo (https://github.com/Picovoice/picovoice) states that "The SDK is licensed under Apache 2.0 and available on GitHub to encourage independent benchmarking and integration testing." While source isn't provided and only compiled binaries are provided, that should give you permission to flip some bits to skip a license check.
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Voice processing in Embedded Systems
Checkout https://github.com/Picovoice/picovoice I saw it on an article from before and it seemed easy to get started on.
- Voice Control App
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Clock app controlled with offline voice recognition (Tutorial + article in comments)
Check out an article I wrote about it and the source code
What are some alternatives?
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
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.
vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries
rhino - On-device Speech-to-Intent engine powered by deep learning
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
cheetah - On-device streaming speech-to-text engine powered by deep learning
AutoSub - A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui
DiscordSpeechBot - A speech-to-text bot for discord with music commands and more using NodeJS. Ideally for controlling your Discord server using voice commands, can also be useful for hearing-impaired people.
DeepSpeech - Install Mozilla DeepSpeech on a Raspberry Pi 4
Speech-Recognition - Speech Recognition library for adding Voice Commands and Controls to all your applications. Whether you are building web apps, native apps or desktop apps, this technology can be integrated into any system with an internet connection.