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https://github.com/pavelzbornik/whisperX-FastAPI/blob/d2df3dc0ef2675340f70ae379b9fddc0529cea8c/app/services.py#L126
`process_audio_task` task argument accepts `str`, meanwhile model_params.task is …
gahoo updated
11 hours ago
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Hello WhisperX developers. Thanks for open-sourcing this code.
Since another similar question was closed without an answer I will repeat it.
I'm getting an error `CUDA failed with error out of m…
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如题，任务开始前显存占用大约1.5G，操作开始时显存占用10G左右，然后很快爆显存。。。
难道16G显存不够吗 。。。
显卡是16G的4070 Ti Super，日志如下：
[fasterwhispergui.log](https://github.com/user-attachments/files/15856197/fasterwhispergui.log)
neavo updated
5 months ago
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Hi!
I'm getting the following error when running whisperX locally on my Intel Mac on macOS Sonoma 14.0
> [1] 27408 segmentation fault python transcribe_whisperx.py
> /Users/ridouh/anaconda3…
z11h updated
10 months ago
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# Pre-Processing
- [x] VAD
- [ ] NoiseRemoval
- [ ] AudioRouter to different modules depending on the audio quality (like [RouteLLM](https://github.com/lm-sys/RouteLLM))
- [ ] #10
# Main-Proces…
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```
braulio @ phoenix ➜ ~ sudo docker run --gpus all -p 5000:5000 whisperx-api
Unable to find image 'whisperx-api:latest' locally
docker: Error response from daemon: pull access denied for whispe…
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The current version uses OPEN AI models to transcribe the audio and OAI LLM to transform the text, it would be great if we can add options to use open source LLM's and transcription models.
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Hey there, I have a Mac mini M2 (2023) where getting results for a 60 min hour takes several (8) hours, does anyone know if there is a faster parameter we can use in WhisperX when running on a Mac OS …
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i tried this, and first attempt at it resulted in this:
```
(.venv) C:\Users\me\Downloads\UltraSinger-main\src>UltraSinger.py -i "song.mp3"
[UltraSinger] *****************************
[UltraSing…
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Transcription appears to be accurate, however the ending timestamps for each line are always set at the beginning timestamp of the next line, resulting in subtitles constantly displayed long after spe…