kaldi-active-grammar
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kaldi-active-grammar | Phaser | |
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10 | 182 | |
329 | 35,792 | |
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0.0 | 9.6 | |
10 months ago | 4 months ago | |
Python | JavaScript | |
GNU Affero General Public License v3.0 | MIT License |
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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
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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.
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kaldi repo: https://github.com/daanzu/kaldi-active-grammar
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Just use an actual game framework https://phaser.io/
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Phaser (MIT/JS) https://github.com/photonstorm/phaser
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What are some alternatives?
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
kaboom.js - 💥 JavaScript game library
nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.
PixiJS - The HTML5 Creation Engine: Create beautiful digital content with the fastest, most flexible 2D WebGL renderer.
pocketsphinx-python - Python interface to CMU Sphinxbase and Pocketsphinx libraries
GDevelop - :video_game: Open-source, cross-platform game engine designed to be used by everyone.
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
BabylonJS - Babylon.js is a powerful, beautiful, simple, and open game and rendering engine packed into a friendly JavaScript framework.
Caster - Dragonfly-Based Voice Programming and Accessibility Toolkit
three.js - JavaScript 3D Library.
dragonfly - Speech recognition framework allowing powerful Python-based scripting and extension of Dragon NaturallySpeaking (DNS), Windows Speech Recognition (WSR), Kaldi and CMU Pocket Sphinx
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