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kaldi-active-grammar
| angle | kaldi-active-grammar | |
|---|---|---|
| 2 | 10 | |
| 128 | 329 | |
| - | - | |
| 3.0 | 0.0 | |
| 2 months ago | 10 months ago | |
| Python | Python | |
| - | GNU Affero General Public License v3.0 |
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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
- AMD Screws Gamers: Sponsorships Likely Block DLSS
- Software I’m 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?
edenai-apis - Eden AI: simplify the use and deployment of AI technologies by providing a unique API that connects to the best possible AI engines
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
solverecaptchas - An async Python library to automate solving ReCAPTCHA v2 using Playwright.
nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.
nl2bash - Generating bash command from natural language https://arxiv.org/abs/1802.08979
pocketsphinx-python - Python interface to CMU Sphinxbase and Pocketsphinx libraries
SpeechRecognition - Speech recognition module for Python, supporting several engines and APIs, online and offline.
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
cheetah - On-device streaming speech-to-text engine powered by deep learning
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