Comments (4)
Solution:
pip install -U speechbrain==0.5.16
The version 1.0.0 of speechbrain is not working well with the latest whisperx version.
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I’ve encountered the same issue.
I am able to import speechbrain directly within the environment, so the problem should not be related to speechbrain not being installed.
from whisperx.
Happened to me as well in colab, does someone might have a workaround?
from whisperx.
It also broke the last version in replicate:
https://replicate.com/victor-upmeet/whisperx
when activating speaker diarization.
Do you know when it will be updated ?
thanks 🙏
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Related Issues (20)
- Transcription/translation language change -- '50358' / '50359' is not a valid task (accepted tasks: transcribe, translate)
- Wrong cuda device (device_id > 0) on VAD in whisperx.load_model() method
- A tip: color coding the outputs (e.g. srt) from the JSON files HOT 1
- RuntimeError: Library libcublas.so.12 is not found or cannot be loaded HOT 3
- Word Level Transcripts Error HOT 8
- 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 4
- 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
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