Enhancing Speaker Recognition with CRET Model: a fusion of CONV2D, RESNET and ECAPA-TDNN
Abstract In today’s society, speaker recognition plays an increasingly important role. Currently, neural networks are widely employed for extracting speaker features. Although the Emphasized Channel Attention, Propagation, and Aggregation in Time Delay Neural Network (ECAPA-TDNN) model can obtain te...
Guardat en:
| Autors principals: | , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SpringerOpen
2025-02-01
|
| Col·lecció: | EURASIP Journal on Audio, Speech, and Music Processing |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s13636-025-00396-4 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|