Suggestion: Print timestamped words on-the-fly with option verbose=True about whisper-timestamped

[Jeronymous]

Thanks @vedran for this relevant suggestion and your wish to contribute.
Indeed I haven't spent effort in the "verbose" option so far.

There are currently two ways of getting word timestamps:

1. doing it on the fly while whisper is decoding (which is only possible with "greedy" decoding)
2. letting whisper decode everything and then aligning segment by segment by running inference again (which is required when whisper do beam search, temperature fallback...)

(2 corresponds to options --accurate and --naive of the CLI)

With (1), it would be easy to do the verbose "on the fly" (what you call "real time").
I can do it. Just I need to decide whether or not to disable whisper verbose, i.e. to print the timestamped segment or not before timestamped words are printed.
Do you have an opinion on this?

With (2), printing "on the fly" is not possible.
The real solution would be to fork whisper and add the word alignment in it. I think I will end up with this solution in the end, for several reasons.

[Jeronymous]

I looked into this more carefully.
Actually it's super tricky to implement "on-the-fly" verbose for (1), because when hooking whisper transcription, we don't know the position of the current "30 sec chunk of audio" being decoded (or it's hard to recover... maybe possible).

I improved a bit things around the verbose option. Well, choosing not to print the segments returned by whisper (to avoid confusion between segments and words). Not sure it improves things for your use case...

So again, forking whisper will solve many things including this issue...

[vedran]

Thanks for that! I will explore forking whisper as well. For my use case I want to see how fast one can push the performance of realtime processing for a transcription service. e.g. uploading a video file in chunks, passing those chunks into whisper, and returning them back to the client very quickly. For a proof of concept I just fed the whole file into your whisper version here, and parsed the whisper's verbose output, and skipped over your library's verbose output.