Athena
vosk-api
Athena | vosk-api | |
---|---|---|
8 | 61 | |
97 | 7,085 | |
- | 2.2% | |
6.4 | 6.6 | |
almost 2 years ago | 2 days ago | |
Kotlin | Jupyter Notebook | |
- | Apache License 2.0 |
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Athena
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A voice transcription and script launching app, written leveraging Termux
This setup can be used to create a 'push button' assistant (which is in fact what I am in the process of setting it up for) where you quickly record your command, and once finished it runs through the whole processing pipeline. I will be releasing more python/java scripts to do just this, and eventually turning it into a native Android app once I've formalized some of the design. I figured it was something people in this sub might be interested in. You can get the APK, the sample launching script, and the setup instructions on my Github. If you're interested in following the project you can do so at r/SapphireFramework
- Small Demo App, Related to Athena/Sapphire Framework.
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Okay google on grapheneos
This project is still in early but you could like it https://github.com/Tadashi-Hikari/Athena
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It's foolish to think open source isn't possible on Android.
Google Assistant: Dicio is already on F-Droid but it won't get what you are saying. Possible actions are limited. There's also Athena that's in development, though it is not ready for any kind of use. Depending on whether you need some sort of an accessibility service, you can get away with ditching Ok Google / Alexa / Cortana / Bixby. TalkBack should help with it too.
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Is there a viable AOSP speech-to-text app?
Along with what you said, the Athena project also seem like interesting - even though you have to build it. Yet this video indicates that the developer knows what he is doing
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Important notes on 2022 projects
Athena - intends to completely replace Google assistant,
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Status of FOSS voice typing (speech to text)
Athena and the Sapphire framework
- A Working Free and Open Source "Google" (NOT!) Assistant, Text to Speech, and Speech To Text Project
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?
Sapphire-Assistant-Framework - An extensible framework for creating Android Assistants on-device. It does not require Google services or network connectivity
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
dicio-android - Dicio assistant app for Android
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
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.
vosk-server - WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries
joplin-android - Android releases for Joplin
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Camera - Modern camera app focused on privacy and security with QR & barcode scanning.
AutoSub - A CLI script to generate subtitle files (SRT/VTT/TXT) for any video using either DeepSpeech or Coqui
callrecorder-skvalex - callrecorder-skvalex
DeepSpeech - Install Mozilla DeepSpeech on a Raspberry Pi 4