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Found 6 papers, 0 papers with code
Efficient Adapter Tuning of Pre-trained Speech Models for Automatic Speaker Verification
With excellent generalization ability, self-supervised speech models have shown impressive performance on various downstream speech tasks in the pre-training and fine-tuning paradigm.
Improving Transformer-based Networks With Locality For Automatic Speaker Verification
The proposed models achieve 0. 75% EER on VoxCeleb 1 test set, outperforming the previously proposed Transformer-based models and CNN-based models, such as ResNet34 and ECAPA-TDNN.
Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning
In this study, we show that GAP is a special case of a discrete cosine transform (DCT) on time-frequency domain mathematically using only the lowest frequency component in frequency decomposition.
Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
With our strong online data augmentation strategy, the proposed SSReg shows the potential of self-supervised learning without using negative pairs and it can significantly improve the performance of self-supervised speaker representation learning with a simple Siamese network architecture.
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning
Despite speaker verification has achieved significant performance improvement with the development of deep neural networks, domain mismatch is still a challenging problem in this field.
Open-set Short Utterance Forensic Speaker Verification using Teacher-Student Network with Explicit Inductive Bias
In forensic applications, it is very common that only small naturalistic datasets consisting of short utterances in complex or unknown acoustic environments are available.
