A study of semi-supervised speaker diarization system using gan mixture model

We propose a new speaker diarization system based on a recently introduced unsupervised clustering technique namely, generative adversarial network mixture model (GANMM). The proposed system uses x-vectors as front-end representation. Spectral embedding is used for dimensionality reduction followed...

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Hauptverfasser:	Pal, Monisankha, Kumar, Manoj, Peri, Raghuveer, Narayanan, Shrikanth
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Sound
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