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interspeech

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Max Bain
2023-06-01 16:54:16 +01:00
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@ -54,6 +54,7 @@ This repository provides fast automatic speech recognition (70x realtime with la
<h2 align="left", id="highlights">New🚨</h2> <h2 align="left", id="highlights">New🚨</h2>
- _WhisperX_ accepted at INTERSPEECH 2023
- v3 transcript segment-per-sentence: using nltk sent_tokenize for better subtitlting & better diarization - v3 transcript segment-per-sentence: using nltk sent_tokenize for better subtitlting & better diarization
- v3 released, 70x speed-up open-sourced. Using batched whisper with [faster-whisper](https://github.com/guillaumekln/faster-whisper) backend! - v3 released, 70x speed-up open-sourced. Using batched whisper with [faster-whisper](https://github.com/guillaumekln/faster-whisper) backend!
- v2 released, code cleanup, imports whisper library VAD filtering is now turned on by default, as in the paper. - v2 released, code cleanup, imports whisper library VAD filtering is now turned on by default, as in the paper.
@ -276,7 +277,7 @@ If you use this in your research, please cite the paper:
@article{bain2022whisperx, @article{bain2022whisperx,
title={WhisperX: Time-Accurate Speech Transcription of Long-Form Audio}, title={WhisperX: Time-Accurate Speech Transcription of Long-Form Audio},
author={Bain, Max and Huh, Jaesung and Han, Tengda and Zisserman, Andrew}, author={Bain, Max and Huh, Jaesung and Han, Tengda and Zisserman, Andrew},
journal={arXiv preprint, arXiv:2303.00747}, journal={INTERSPEECH 2023},
year={2023} year={2023}
} }
``` ```