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When i transcribe from asset folders wav file its working fine but not able to transcribe recorded audio. Its returning only "you" result.
path -> path:/data/user/0/com.xxx.xxx.develop/files/MicInpu…
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- Class should simply take in an audio file and return string-timestamp-pair
- We need 2 new .py files in the services module: transcribers.py, transcribers_factory.py
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Currently, the app can only handle audio files that are less than 25 MB. This is a limitation due to Whisper's max input file size of 25 MB. However, we can get around this limitation by splitting aud…
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Like the title implies, when using the batched commits and using the medium model the model output is nonsense (empty, repeats the inital prompt or says 'I'm sorry'). I'm using something along the fo…
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I'm getting poor transcription results using whisperx, specifically I am sometimes not getting any transcription out of some short videos, whereas OpenAI's official whisper model transcribes them corr…
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model = stable_whisper.load_model('small')
result = model.transcribe(file)
result.to_srt_vtt('audio.vtt', False, True)
for caption in webvtt.read('audio.vtt'):
print(caption.start +" "+caption…
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I think its due to my GPU..
Below are my specs
To create a public link, set `share=True` in `launch()`.
No language specified, language will be first be detected for each audio file (increase…
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Great work on the implementation! Just wondering if you have considered the integration of other whisper models into the pipeline, such as faster-whisper (https://github.com/SYSTRAN/faster-whisper?tab…
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Since #856 got merged, I was wondering if we can have sending multiple files in one go into faster-whisper, something like:
```py
from faster_whisper import WhisperModel, BatchedInferencePipeline
…
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I notice infrequent failures for non-english audios with the error: `Error Running inference with local model', IndexError('list index out of range'`.
[Example of failing audio](https://files.getp…