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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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Principais autores: Meng Wang, Dazheng Feng, Tingting Su, Mohan Chen
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-03-01
Serier:Sensors
Fag:
convolutional neural networks
speaker verification
temporal-frequency aggregation
self-attention
Online adgang:https://www.mdpi.com/1424-8220/22/6/2147
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