Art

J-GLOBAL ID：201102213696919473   Reference number：11A1135342

Sparse source separation based on simultaneous clustering of source locational and spectral features

音源の位置特徴とスペクトル特徴の同時クラスタリングに基づくスパース音源分離

Author (3)： ARAKI Shoko (NTT Communication Sci. Laboratories, NTT Corp.) ,  NAKATANI Tomohiro (NTT Communication Sci. Laboratories, NTT Corp.) ,  SAWADA Hiroshi (NTT Communication Sci. Laboratories, NTT Corp.)
Material： Acoustical Science and Technology  (Acoust Sci Technol)
Volume： 32  Issue： 4  Page： 161-164 (J-STAGE)  Publication year： 2011 
JST Material Number： Z0931A  ISSN： 1346-3969  Document type： Article
Article type： 短報  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *signal processing ,  reverberation ,  clustering ,  amplitude modulation ,  independent component analysis
Semi thesaurus term： clustering ,  *blind source separation ,  phase difference ,  temporal frequency ,  sound source separation ,  feature quantity

JST classification (1)： Speach processing  (JE05000E)

Reference (10)：

• 1) A. Hyvärinen, J. Karhunen and E. Oja, <I>Independent Component Analysis</I> (John Wiley & Sons, New York, 2001).
• 2) O. Yilmaz and S. Rickard, “Blind separation of speech mixtures via time-frequency masking,” IEEE Trans. Signal Process., 52, 1830–1847 (2004).
• 3) S. Araki, H. Sawada, R. Mukai and S. Makino, “Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors,” Signal Process., 77, 1833–1847 (2007).
• 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).
• 5) H. Sawada, S. Araki and S. Makino, “Underdetermined convolutive blind source separation via frequency bin-wise clustering and permutation alignment,” IEEE Trans. Audio Speech Lang Process., 19, 516–527 (2011).

Terms in the title (4)： 音源 ,  スペクトル特徴 ,  クラスタリング ,  音源分離