Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition-Reference-Cited by-同舟云学术

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Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
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Author:

Xiang Xu,Wang Shuai,Huang Houjun,Qian Yanmin,Yu Kai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8989870/9023008/09023039.pdf?arnumber=9023039

Cited by 81 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Target speaker filtration by mask estimation for source speaker traceability in voice conversion;Engineering Applications of Artificial Intelligence;2024-10

2. Advancing speaker embedding learning: Wespeaker toolkit for research and production;Speech Communication;2024-07

3. An Investigation of Distribution Alignment in Multi-Genre Speaker Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. SR-HuBERT : An Efficient Pre-Trained Model for Speaker Verification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. AS-pVAD: A Frame-Wise Personalized Voice Activity Detection Network with Attentive Score Loss;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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