alphacep / alphacep/vosk-api

First part of text returned on some lines missing using vosk-model-ja-0.22

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Description

I'm using the vosk integration in SubtitleEdit (current 3.6.7). Basically, it works very well.
But I've found one issue.

I noticed when doing audio to text using Japanese big model (vosk-model-ja-0.22), text for the first part of some spoken lines will be missing. Maybe once in 20 lines or so.
Audio is clear enough in these cases, so I think vosk should have picked something up.
It usually happens in the first part of a spoken phrase. Text elsewhere basically seems to be recognized well.

I reported this issue with SubtitleEdit on [https://github.com/SubtitleEdit/subtitleedit/issues/6171] "First part of text returned on some lines missing in Japanese audio to text #6171"
Conclusion there was that it's a vosk issue.
So I want to ask about it here.

Then, I noticed something on different samples exhibiting the same problem. The above problem occurred if the full audio sample (~45 min.) was processed.
But when I clipped ~30 sec. of audio around the problem lines, and then ran vosk on them with SE, all the text was recognized. You can see the difference below:

Clip 1:
full ~45 min. audio processed:
![ep03 clip 1243 full mkv waveform](https://user-images.githubusercontent.com/102390147/188226604-5cd9bc62-3cde-4d88-96f5-4da91c1c3f03.png)

30 sec. audio clip processed:
![ep03 clip 1243 short mkv waveform](https://user-images.githubusercontent.com/102390147/188226702-0f97bd72-963e-4144-9af8-dc219b02b66f.png)

Clip 2:
full ~45 min. audio processed:
![ep03 clip 1749 full mkv waveform](https://user-images.githubusercontent.com/102390147/188226796-df5e4ef9-4b5b-4259-92e6-aefef750a4f8.png)

30 sec. audio clip processed:

![ep03 clip 1749 short mkv waveform](https://user-images.githubusercontent.com/102390147/188226844-06f51eb3-6851-4370-8360-30e907b29927.png)

So I wonder if the sample length has any bearing on the text result. Or some other explanation?
It would be helpful if these lines could be complete.

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