Comments (2)
Thank you for the message!
whisper.cpp is great but it seems they still have room for improvements in terms of execution speed, especially on x86-64 platforms where we either use Intel oneMKL or oneDNN.
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FYI, there is an additional discussion about the comparison with whisper.cpp here ggerganov/whisper.cpp#589.
In short the current beam search implementation in whisper.cpp is not optimal and will probably be improved in the future. When using a beam size of 1 the speed difference is reduced.
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Related Issues (20)
- can't get it to use GPU HOT 4
- Cannot find out "preprocessor_config" file HOT 1
- LM (language model) + whisper HOT 1
- IMPORTANT: 1.0.3 VAD v5 is much worse than 1.0.2 or 1.0.1 VAD v4 for some certain audio data. WHY? HOT 8
- Unable to open file 'model.bin' in model 'models\base' HOT 1
- Model Seperate GPU Assignment
- Error:Maximum decoding length >0 while transcribing HOT 1
- Funny and revealing hallucinations HOT 4
- Jupyter Lab crashing with faster-whisper
- Cannot start faster-whisper HOT 7
- Suddenly no start, end or text in generator? HOT 1
- Poor output quality and speed when using batched inference HOT 2
- ValueError: Requested int8 compute type, but the target device or backend do not support efficient int8 computation. HOT 4
- how to create the gradio UI with faster-whisper HOT 1
- RuntimeError: Unsupported model binary version. This executable supports models with binary version v6 or below, but the model has binary version v1936876918.
- Why does the transcription speed significantly decrease when the WhisperModel instance is wrapped inside a class attribute? HOT 4
- Is it possible to add lora adapter support and switching between adapters as per request ?
- Can I server speechbrain model whisper with fasterwhisper?
- Thai language error
- Error #15: Initializing libiomp5md.dll, but found libomp140.x86_64.dll already initialized. HOT 1
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