Multi-Task Learning Based End-to-End Speaker Recognition-Reference-Cited by-同舟云学术

Multi-Task Learning Based End-to-End Speaker Recognition

Published:2019-11-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 2nd International Conference on Signal Processing and Machine Learning
language:
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Author:

Pan Yuxuan¹,Zhang Wei-Qiang²

Affiliation:

1. Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, School of Electronic and Information Technology, Sun Yat-sen University, Guangzhou, Guangdong

2. Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing

Publisher

ACM

Reference37 articles.

1. 10.1162/153244304322765658

2. A Model of Inductive Bias Learning

3. Proceedings of Computational Learning Theory (COLT). Proceedings of Computational Learning Theory (COLT). S. Ben-David R. Schuller 2003. Exploiting task relatedness for multiple task learning

4. Proceedings of Odyssey: Speaker Lang. Recognit. Workshop. 34 Proceedings of Odyssey: Speaker Lang. Recognit. Workshop. 34 N. Brummer E. De Villiers 2010. The speaker partitioning problem

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