Art
J-GLOBAL ID：201702273676314877
Reference number：17A0545068
Speaker separation in multi-channel environment using deep learning
深層学習を用いたマルチチャネル環境での話者分離
Author (3)：
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,
Material：
Volume：
2017
Issue：
SLP-115
Page：
Vol.2017-SLP-115,No.11,1-6 (WEB ONLY)
Publication year：
Feb. 10, 2017
JST Material Number：
U0451A
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
ENGLISH (EN)
Thesaurus term：
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
,...
JST classification (3)：
JST classification
Category name(code) classified by JST.
Pattern recognition
, Artificial intelligence
, Brain and nervous system models
Reference (27)：
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M.N.Schmidt, and R.K. Olsson: Single-channel speech separation using sparse non-negative matrix factorization, In Spoken Language Proceesing, ISCA International Conference on (INTERSPEECH),(2006).
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M.H. Radfar, and R.M. Dansereau: Single-channel speech separation using soft mask filtering, IEEE Transactions on Audio, Speech, and Language Processing, pp: 2299-2310,(2007).
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E.M. Grais, and H. Erdogan: Single channel speech music separation using nonnegative matrix factorization and spectral masks, In 2011 17th International Conference on Digital Signal Processing (DSP), pp. 1-6, (2011).
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E. Weinstein, M. Feder, and A.V. Oppenheim: Multi-channel signal separation by decorrelation, IEEE transactions on Speech and Audio Processing, pp: 405-413,(1993).
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M. Handa, T. Nagai, and A. Kurematsu: Frequency domain multichannel speech separation and its applications, In Acoustics, Speech, and Signal Processing(ICASSP), pp. 2761-2764, (2001).
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Terms in the title (4)：
Terms in the title
Keywords automatically extracted from the title.
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