Re:Nerd-dictation, hackable speech to text on Linux
by follower on Wednesday January 19, 2022 @04:21AM
(#29991534)
Yeah, I was really impressed with the project when I encountered it last year when trying out a bunch of FLOSS Speech-To-Text options.
It was significantly better than the other FLOSS options I looked at--both in terms of getting it going initially & the quality of the speech to text results.
What I found particularly interesting was when you have the "partial" recognition output shown in real-time you get to see how--at the end of a sentence--it may change a word earlier in the sentence in the final recognition output based on (I guess) the additional context of the full sentence.
(I just did a quick test again (with the installs from my testing last year) using an internal laptop microphone & the test script recognized a significant chunk of my speech (using a headset definitely improves things though) whereas with the same environment a test with `mic_vad_streaming` (from `DeepSpeech-examples-r0.9` with `deepspeech-0.9.0-models.pbmm`) failed to recognize any words at all.)
It was significantly better than the other FLOSS options I looked at--both in terms of getting it going initially & the quality of the speech to text results.
I tested it with a lightly modified version of this example script: https://github.com/alphacep/vosk-api/blob/master/python/exam...
What I found particularly interesting was when you have the "partial" recognition output shown in real-time you get to see how--at the end of a sentence--it may change a word earlier in the sentence in the final recognition output based on (I guess) the additional context of the full sentence.
(I just did a quick test again (with the installs from my testing last year) using an internal laptop microphone & the test script recognized a significant chunk of my speech (using a headset definitely improves things though) whereas with the same environment a test with `mic_vad_streaming` (from `DeepSpeech-examples-r0.9` with `deepspeech-0.9.0-models.pbmm`) failed to recognize any words at all.)