2 papers
eess.AS2023
Consistent and Relevant: Rethink the Query Embedding in General Sound Separation
Yuanyuan Wang, Hangting Chen, Dongchao Yang +4
The query-based audio separation usually employs specific queries to extract target sources from a mixture of audio signals. Currently, most query-based separation models need addi…
eess.AS2023
DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification
Yuanyuan Wang, Yang Zhang, Zhiyong Wu +4
Data augmentation is vital to the generalization ability and robustness of deep neural networks (DNNs) models. Existing augmentation methods for speaker verification manipulate the…