cursorless-talon
kaldi-active-grammar
| cursorless-talon | kaldi-active-grammar | |
|---|---|---|
| 1 | 10 | |
| 99 | 329 | |
| - | - | |
| 7.7 | 0.0 | |
| 22 days ago | 11 months ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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cursorless-talon
kaldi-active-grammar
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Ask HN: How do you get started with adding voice commands to a computer system?
https://github.com/dictation-toolbox/dragonfly
https://github.com/daanzu/kaldi-active-grammar
- AMD Screws Gamers: Sponsorships Likely Block DLSS
- Software Iām Thankful For
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Why, in 2022, is there no high quality method for voice control of a PC?
With an open system/engine, you can train your own personal speech model. For kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), you can do so without all that much difficulty, although the process/documentation could certainly use improvement.
I bootstrapped my personal speech model by retaining the commands from me using WSR. My voice is quite abnormal, and it took only 10 hours of speech data to train a model orders of magnitude more accurate than any generic model I've ever used. And of course, I retain much of my usage now with Kaldi, so my model improves more and more over time. A virtuous flywheel!
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Ask HN: Anyone voice code? I had a stroke and can't use my left side
I have been coding entirely by voice for approximately 10 years now (by hand long before that). Most of that time I have been using the Dragonfly (https://github.com/dictation-toolbox/dragonfly) library to construct my own customized voice coding system. The library is highly flexible and open source, allowing you to easily customize everything to suit what you need to be productive. It is perhaps the power user analogue to Dragon Naturally Speaking. With it, you can certainly be highly productive coding by voice. In fact, I develop kaldi-active-grammar (https://github.com/daanzu/kaldi-active-grammar), a free and open source speech recognition backend usable by Dragonfly, itself entirely by voice. There's also a community of voice coders using Dragonfly and other tools that build on top of it, such as Caster (https://github.com/dictation-toolbox/Caster).
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Ask HN: Who Wants to Collaborate?
- Demo: https://www.youtube.com/watch?v=Qk1mGbIJx3s / Software: https://github.com/daanzu/kaldi-active-grammar
Far field audio is usually harder for any speech system to get correct, so having a good quality mic and using it nearby will _usually_ help with the transcription quality. As a long time Linux user, I would love to see it get some more powerful voice tools - really hope that this opens up over the next few years. Feel free to drop me an email (on my profile) happy to help with setup on any of the above.
- How can I make Mycroft recognize non verbal audio sounds to command it?
- Linux Voice recognition/dictation/voice assistant/ one handed operation?
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Disabled computer science student ISO advice about single-handed keyboards
kaldi repo: https://github.com/daanzu/kaldi-active-grammar
What are some alternatives?
cursorless - Don't let the cursor slow you down
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.
Voice-Recognition-using-Deep-
pocketsphinx-python - Python interface to CMU Sphinxbase and Pocketsphinx libraries
Voice-Recognition-using-Deep-Learning - Voice Recognition using Deep Learning
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
Caster - Dragonfly-Based Voice Programming and Accessibility Toolkit
dragonfly - Speech recognition framework allowing powerful Python-based scripting and extension of Dragon NaturallySpeaking (DNS), Windows Speech Recognition (WSR), Kaldi and CMU Pocket Sphinx
Common-Voice - Audio Classification with machine learning
whisper-writer - š¬š A small dictation app using OpenAI's Whisper speech recognition model.