Single-channel blind source separation based on joint dictionary with common sub-dictionary-Reference-Cited by-同舟云学术

Single-channel blind source separation based on joint dictionary with common sub-dictionary

Published:2017-10-31 Issue:1 Volume:21 Page:19-27
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Sun Linhui,Zhao Cheng,Su Min,Wang Fu

Funder

The National Natural Science Foundation of China

The Natural Science Foundation of Jiangsu Province

The Scientific Research Foundation of Nanjing University of Posts and Telecommunications

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

http://link.springer.com/article/10.1007/s10772-017-9469-2/fulltext.html

Reference20 articles.

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2. Bao, G., Xu, Y., & Ye, Z. (2014). Learning a discriminative dictionary for single-channel speech separation. IEEE/ACM Transactions on Audio Speech & Language Processing, 22(7), pp. 1130–1138.

3. Bofill, P., & Zibulevsky, M. (2001). Underdetermined blind source separation using sparse representations. Signal Processing, 81(11), 2353–2362.

4. Grais, E., Erdogan, H. (2013). Discriminative nonnegative dictionary learning using cross-coherence penalties for single channel source separation (pp. 808–812). France: INTERSPEECH, Lyon.

5. Lian, Q., Shi, G., & Chen, S. (2015). Research progress of dictionary learning model, algorithm and its application. Journal of Automation, 41(2), 240–260.

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