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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Detalles Bibliográficos
Autores principales: Wang, Meng, Feng, Dazheng, Su, Tingting, Chen, Mohan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953125/
https://www.ncbi.nlm.nih.gov/pubmed/35336315
http://dx.doi.org/10.3390/s22062147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953125/
https://www.ncbi.nlm.nih.gov/pubmed/35336315
http://dx.doi.org/10.3390/s22062147

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