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Advances in Acoustics and Vibration
Volume 2011, Article ID 765429, 10 pages
http://dx.doi.org/10.1155/2011/765429
Research Article

Improved Method of Blind Speech Separation with Low Computational Complexity

1Corporate Research & Development Center, Yamaha Corporation, 203 Matsunokijima, Iwata 438-0192, Japan
2Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma 630-0192, Japan
3Graduate School of Engineering, Mie University, 1577, Kurimamachiya-cho, Tsu 514-8507, Japan
4Graduate School of Information Science, Nagoya University, Chikusa-ku Furou-cho, Nagoya 464-8601, Japan

Received 15 June 2011; Accepted 19 July 2011

Academic Editor: K. M. Liew

Copyright © 2011 Kazunobu Kondo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Kazunobu Kondo, Yusuke Mizuno, Takanori Nishino, and Kazuya Takeda, “Practically Efficient Blind Speech Separation Using Frequency Band Selection Based on Magnitude Squared Coherence and a Small Dodecahedral Microphone Array,” Journal of Electrical and Computer Engineering, vol. 2012, pp. 1–11, 2012. View at Publisher · View at Google Scholar
  • Huaqing Wang, Ruitong Li, Gang Tang, Hongfang Yuan, Qingliang Zhao, and Xi Cao, “A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition,” Plos One, vol. 9, no. 10, 2014. View at Publisher · View at Google Scholar