PL-EESR: Perceptual Loss Based End-to-End Robust Speaker Representation Extraction
Author:
Affiliation:
1. National University of Singapore,Department of Electrical and Computer Engineering,Singapore
2. Institute for Infocomm Research, A*STAR,Singapore
3. School of Computing, University of Eastern Finland,Finland
Funder
Science and Engineering Research Council
Agency of Science, Technology and Research (A*STAR), Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9687821/9687855/09688031.pdf?arnumber=9688031
Reference27 articles.
1. Constrained Ratio Mask for Speech Enhancement Using DNN
2. Complex Ratio Masking for Monaural Speech Separation
3. Learning Complex Spectral Mapping for Speech Enhancement with Improved Cross-Corpus Generalization
4. Speaker-Utterance Dual Attention for Speaker and Utterance Verification
5. Assessment of single-channel speech enhancement techniques for speaker identification under mismatched conditions
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4. MFA: TDNN with Multi-Scale Frequency-Channel Attention for Text-Independent Speaker Verification with Short Utterances;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23
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