IDOL Speech Server can perform real-time speech-to-text conversion on an audio stream. The following sample configuration is for such a task.
[StreamToText] 0 = a ← stream(MONO, input) 1 = f ← frontend(_, a) 2 = nf ← normalizer(_, f) 3 = w ← stt(_, nf) 4 = output ← wout(_, w) DefaultResults=Out
0 |
The stream module processes stream audio data. |
1 |
The frontend module converts audio data into speech front-end frame data. |
2 |
The normalizer module normalizes frame data from 1 (f ). |
3 |
The stt module converts normalized frame data from 2 (nf ) into text. |
4 |
The wout module writes the recognized words resulting from 3 (w ) to the output file. |
You can also use the [StreamToTextMusicFilter]
schema to combine audio stream-to-text conversion with speech classification in a single step so that you can then remove sections classified as music or noise from the resulting output file.
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