pyannote.audio: neural building blocks for speaker diarization

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.aud...

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Veröffentlicht in:	arXiv.org 2019-11
Hauptverfasser:	Bredin, Hervé, Yin, Ruiqing, Coria, Juan Manuel, Gelly, Gregory, Korshunov, Pavel, Lavechin, Marvin, Fustes, Diego, Titeux, Hadrien, Bouaziz, Wassim, Marie-Philippe, Gill
Format:	Artikel
Sprache:	eng
Schlagworte:	Audio equipment Change detection Domains Machine learning Source code Voice activity detectors Voice recognition
Online-Zugang:	Volltext
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