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Bredin, Herve; Yin, Ruiqing; Coria, Juan Manuel; Gelly, Gregory; Korshunov, Pavel; Lavechin, Marvin; Fustes, Diego; Titeux, Hadrien; Bouaziz, Wassim; Gill, Marie-Philippe
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Conference Proceeding
We introduce pyannote.audio, an open-source toolkit written in Python for speaker diarization. Based on PyTorch machine learning framework, it provides a set of trainable end-to-end neural building blocks that can be combined and jointly optimized to build speaker diarization pipelines. pyannote.audio also comes with pre-trained models covering a wide range of domains for voice activity detection, speaker change detection, overlapped speech detection, and speaker embedding - reaching state-of-the-art performance for most of them.
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| Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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| JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP | |
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in: SICRIS
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