On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
Deep representation learning has gained significant momentum in advancing text-dependent speaker verification (TD-SV) systems. When designing deep neural networks (DNN) for extracting bottleneck (BN) features, the key considerations include training targets, activation functions, and loss functions....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Series: | Acoustics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-599X/5/3/42 |