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@@ -83,15 +83,15 @@ Kotoba-whisper-v1.1 improves the punctuation and the timestamp of the output fro
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  we need to obtain the timestamps, which decreases the latency of the original kotoba-whisper-v1.0. See the following table comparing the inference speed on
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  transcribing **50min** Japanese speech audio, where we report the average over five independent runs.
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- | model | return_timestamps | stable_ts | punctuator | time (mean) |
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- |:--------------------------------|:--------------------|:------------|:-------------|--------------:|
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- | kotoba-tech/kotoba-whisper-v1.0 | False | | | 10.7792 |
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- | kotoba-tech/kotoba-whisper-v1.0 | True | | | 15.7362 |
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- | kotoba-tech/kotoba-whisper-v1.1 | True | False | True | 17.7098 |
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- | kotoba-tech/kotoba-whisper-v1.1 | True | True | False | 16.1083 |
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- | kotoba-tech/kotoba-whisper-v1.1 | True | True | True | 17.9164 |
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- | openai/whisper-large-v3 | False | | | 29.1029 |
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- | openai/whisper-large-v3 | True | | | 37.871 |
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  ## Transformers Usage
 
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  we need to obtain the timestamps, which decreases the latency of the original kotoba-whisper-v1.0. See the following table comparing the inference speed on
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  transcribing **50min** Japanese speech audio, where we report the average over five independent runs.
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+ | model | return_timestamps | stable_ts | punctuator | time (sec) |
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+ |:--------------------------------|:--------------------|:------------|:-------------|-----------:|
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+ | kotoba-tech/kotoba-whisper-v1.0 | False | | | 10.7 |
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+ | kotoba-tech/kotoba-whisper-v1.0 | True | | | 15.7 |
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+ | kotoba-tech/kotoba-whisper-v1.1 | True | False | True | 17.7 |
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+ | kotoba-tech/kotoba-whisper-v1.1 | True | True | False | 16.1 |
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+ | kotoba-tech/kotoba-whisper-v1.1 | True | True | True | 17.9 |
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+ | openai/whisper-large-v3 | False | | | 29.1 |
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+ | openai/whisper-large-v3 | True | | | 37.8 |
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  ## Transformers Usage