Multi-Objective Progressive Clustering for Semi-Supervised Domain Adaptation in Speaker Verification

Utilizing the pseudo-labeling algorithm with large-scale unlabeled data becomes crucial for semi-supervised domain adaptation in speaker verification tasks. In this paper, we propose a novel pseudo-labeling method named Multi-objective Progressive Clustering (MoPC), specifically designed for semi-su...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 12236 - 12240
Hlavní autori:	Li, Ze, Lin, Yuke, Jiang, Ning, Qin, Xiaoyi, Zhao, Guoqing, Wu, Haiying, Li, Ming
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 14.04.2024
Predmet:	Acoustics Clustering algorithms Domain Adaptation Noise reduction Semi-supervised Signal processing Signal processing algorithms Speaker Recognition Speech recognition Target tracking
ISSN:	2379-190X
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