Comments (1)
see alternatives
https://github.com/chidiwilliams/buzz
This is specifically for refining timestamps (so is more appropriate for offline I think) -- realtime should give reasonable timestamps already.
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Related Issues (20)
- Transcription fails with diarization enabled
- Some transcriptions missing properties HOT 1
- RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device HOT 5
- Getting no audio found error HOT 1
- whisperx.load_model & default_asr_options Error in Colab HOT 4
- Doesn't accept num_speakers as argument HOT 3
- whisperx.align has empty word intervals for numbers HOT 1
- Error While Using Machine With Only CPU (EC2 Instance) HOT 3
- No speaker labels in txt format with diarization enabled HOT 6
- Support for vulkan (intel arc gpu)
- IGNORE
- Diarization precision - is there way to improve it? HOT 4
- torchaudio._backend.set_audio_backend has been deprecated. HOT 3
- Probability or score coming from faster-whisper and not alignment model
- Timing of subtitles is way off if I limit max_line_count and max_line_width==bad things? HOT 3
- TypeError: TranscriptionOptions.__new__() got an unexpected keyword argument 'hotwords' HOT 2
- 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
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