Re:Initial Release of Mozilla’s Open Source Speech Recogniti...
by skykooler on Wednesday November 29, 2017 @10:55PM
(#15813348)
The problem with Kaldi is that it's virtually impossible to get a dictation model working with Kaldi unless you have a doctorate in speech recognition. There is no "I know basic programming, but little about speech recognition" documentation for Kaldi.
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Re:Initial Release of Mozilla’s Open Source Speech Recogniti...
by yjftsjthsd-h on Thursday November 30, 2017 @12:46AM
(#15813755)
Between learning curve and dependency hell, I've never managed good results with Kaldi, Simon, or Sphinx. It's unfortunate; hopefully we'll get an easy to use option soon.
Re:Initial Release of Mozilla’s Open Source Speech Recogniti...
by hardwaresofton on Thursday November 30, 2017 @02:08AM
(#15813977)
When was the last time you tried sphinx? The library has changed a LOT. Their guides, new website and other resources basically walk you from zero knowledge to working demo.
Re:Initial Release of Mozilla’s Open Source Speech Recogniti...
by yjftsjthsd-h on Thursday November 30, 2017 @02:30PM
(#15818753)
On, I will have to try again:) Thanks for the tip; I always thought Sphinx should be ideal, it was just too much work to get it working.
Re:Initial Release of Mozilla’s Open Source Speech Recogniti...
by yorwba on Thursday November 30, 2017 @09:24AM
(#15815871)
There's the "Kaldi for Dummies" tutorial [1], which helped me to the point of creating a speech recognition program that could distinguish digits in recordings of my voice. I guess that's the documentation you're looking for.
My personal problem with Kaldi is that I don't have enough RAM in my cheap laptop to work with any of the big models. When it started swapping just doing the preprocessing for one of the pretrained models [2], I kind of abandoned that project until I bother to get new hardware.
For that reason, I can't tell how good the pretrained models really are.
[1] http://kaldi-asr.org/doc/kaldi_for_dummies.html [2] http://kaldi-asr.org/models.html