Attention-Based Temporal-Frequency Aggregation for Speaker Verification

Convolutional neural networks (CNNs) have significantly promoted the development of speaker verification (SV) systems because of their powerful deep feature learning capability. In CNN-based SV systems, utterance-level aggregation is an important component, and it compresses the frame-level features...

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Auteurs principaux:	Meng Wang, Dazheng Feng, Tingting Su, Mohan Chen
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-03-01
Collection:	Sensors
Sujets:	convolutional neural networks speaker verification temporal-frequency aggregation self-attention
Accès en ligne:	https://www.mdpi.com/1424-8220/22/6/2147
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