Can the accuracy of the timestamp be improved?

[czkoko]

The timestamp of whisper is not very accurate.
The following is the comparison between Microsoft Cognitive Services Speech and whisper.

1                                    
00:00:00,120 --> 00:00:01,379 (Microsoft)    
[00:00:00.000 --> 00:00:02.000] (whisper)
2
00:00:02,120 --> 00:00:06,320 (Microsoft)  
[00:00:02.000 --> 00:00:07.500] (whisper)

[misutoneko]

Yes, this would be much appreciated, I'm not sure how much can be done without retraining the model(s) though.
I suppose you are using the large model?
I've found the smaller models to be less accurate.

Btw for the original whisper there's the stable-ts fork, maybe that can provide some inspiration. See here:
openai/whisper#435

[ggerganov]

The timestamp precision is a limitation of the model. You would need some sort of pre/post-processing to improve the timestamps. But at the moment it is not clear what is the best approach.

[pneyrinck]

Apparently, this work has been done to improve time stamps. https://github.com/jianfch/stable-ts