Comments (3)
As a side note, I can't tell for sure yet, but the JSON file seems to be accurate. I've got to put it in my editor to validate that's the case, but at first glance it definitely doesn't have the problems the set and vtt files have.
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I did not notice a problem in the scope you are mentioning. Have you confirmed the problem with various files?
From my experience, WhisperX subtitles are more precise than OpenAI Whisper's API implementation.
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I just tried it with a different file and it didn't seem repeat, but it did repeatedly on the previous file. My purpose has changed somewhat and the file format will not fit my needs any longer. I instead will be creating what I need by parsing the json into what I need. Thank you. I'll go ahead and close the issue with this comment as I don't plan on assisting in troubleshooting anymore.
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Related Issues (20)
- Load Model To CPU and Then GPU HOT 1
- My timestamps with whisperX are way off HOT 14
- Issue with Periods in Dates or numbers Causing Incorrect Segment Splitting in German Transcriptions
- Unable to Transcribe More Than 90 Minutes (1h30m) HOT 2
- Empty transcript is generated
- Benchmarks for whisperx, faster-whisper, and whispers2t! HOT 11
- Readability trashed after putting length limits. HOT 1
- matrix contains invalid numeric entries
- Hallucinations in silent videos - need suggestions
- Running Finetuned Model Error
- torch 1.10.0+cu102, yours is 2.0.0 HOT 1
- Chinese and English multi-language recognition, there is a problem of ignoring English recognition,How to solve this problem? HOT 1
- Translate japanese audio HOT 1
- Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)
- `numpy==2.0.0` breaks model loading HOT 5
- WhisperX drops repeated words .
- WhisperX missing audio part while original whisper and fast whisper working fine HOT 2
- Natural Subtitle Segmentation and Splitting without trashing the readability. HOT 9
- How can I close Vad
- English Translation in whisperx has much better result than original transcription
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