Comments (5)
First, you are posting in the wrong repo, your "exe" comes from ->https://github.com/Purfview/whisper-standalone-win
Second, it's source
, not "sourc".
The one hour portion of the movie caused the error
If cutting fixed it then try to remux the whole mkv with MKVToolNix or use the second audio track with --ff_track 2
.
When I cut out only 5 minutes of the movie, everything worked correctly
It looks like transcription starts with a hallucination, at least the first line, then it looks like a music/song(?), for better transcriptions on movies/podcasts-with-music you would want to use Standalone Faster-Whisper-XXL and --ff_mdx_kim2
arg.
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If cutting fixed it then try to remux the whole mkv with MKVToolNix or use the second audio track with
I cut everything else with MKVToolNix, leaving only the first and then the second audio track.
it looks like a music/song(?)
No. But they talk really fast in this movie.
The movie is in Japanese, and I put in Russian. Maybe that's why the text is so strange.
I'll put up a Japanese one next time.
use Standalone Faster-Whisper-XXL and --ff_mdx_kim2 arg.
The full movie has audio errors again.
And the 5-minute movie has the error in the screenshot below
from faster-whisper.
I cut everything else with MKVToolNix, leaving only the first and then the second audio track.
Did it solved your issue?
And the 5-minute movie has the error in the screenshot below
That is another issue. Open them in the right repo.
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Did it solved your issue?
I'm sorry, I forgot to write. No, it didn't.
But then I cut a 30 minute episode and it worked.
As I wrote above, the cut episode at 60 Minutes didn't work for me.
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Purfview/whisper-standalone-win#236
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Related Issues (20)
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- How to run HOT 2
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- Does it support converting to ONNX format models?
- question: client sdk HOT 1
- RuntimeError: CUDA failed with error CUDA driver version is insufficient for CUDA runtime version HOT 2
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- Are timestamp tokens used in previous text?
- How do I get both transcript and translated output from single process? HOT 4
- mkl_malloc: failed to allocate memory HOT 1
- Can we modify vocabulary
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