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interspeech
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@ -54,6 +54,7 @@ This repository provides fast automatic speech recognition (70x realtime with la
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<h2 align="left", id="highlights">New🚨</h2>
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- _WhisperX_ accepted at INTERSPEECH 2023
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- v3 transcript segment-per-sentence: using nltk sent_tokenize for better subtitlting & better diarization
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- v3 released, 70x speed-up open-sourced. Using batched whisper with [faster-whisper](https://github.com/guillaumekln/faster-whisper) backend!
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- v2 released, code cleanup, imports whisper library VAD filtering is now turned on by default, as in the paper.
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@ -276,7 +277,7 @@ If you use this in your research, please cite the paper:
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@article{bain2022whisperx,
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title={WhisperX: Time-Accurate Speech Transcription of Long-Form Audio},
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author={Bain, Max and Huh, Jaesung and Han, Tengda and Zisserman, Andrew},
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journal={arXiv preprint, arXiv:2303.00747},
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journal={INTERSPEECH 2023},
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year={2023}
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}
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```
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