Sparse source separation based on simultaneous clustering of source locational and spectral features
Author:
Affiliation:
1. NTT Communication Science Laboratories, NTT Corporation
Publisher
Acoustical Society of Japan
Subject
Acoustics and Ultrasonics
Link
http://www.jstage.jst.go.jp/article/ast/32/4/32_4_161/_pdf
Reference10 articles.
1. 1) A. Hyvärinen, J. Karhunen and E. Oja, Independent Component Analysis (John Wiley & Sons, New York, 2001).
2. Blind Separation of Speech Mixtures via Time-Frequency Masking
3. 4) Y. Izumi, N. Ono and S. Sagayama, “Sparseness-based 2ch BSS using the EM algorithm in reverberant environment,” Proc. WASPAA2007, pp. 147–150 (2007).
4. Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment
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