A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech-Reference-Cited by-同舟云学术

A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech

Published:2017-10-04 Issue:7 Volume:90 Page:963-973
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Tu Yan-Hui,Du Jun,Lee Chin-Hui

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s11265-017-1295-x/fulltext.html

Reference41 articles.

1. Tu, Y., Du, J., Dai, L., & Lee, C. (2016). In Proc. ISCSLP.

2. Radfar, M.H., & Dansereau, R.M. (2007). IEEE Transactions on Audio, Speech, and Language Processing, 15(8), 2299.

3. Cooke, M., Hershey, J.R., & Rennie, S.J. (2010). Computer Speech and Language, 24(1), 1.

4. Kristjansson, T.T., Hershey, J.R., Olsen, P.A., Rennie, S.J., & Gopinath, R.A. (2006). In Proc. annual conference of international speech communication association. (INTERSPEECH).

5. Virtanen, T. (2006). In Proc. annual conference of international speech communication association. (INTERSPEECH).

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