Separation of mixed audio signals by source localization and binary masking with Hilbert spectrum

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3889 LNCS, Issue , 2006, Pages 641-648

  Molla, Md Khadetmul Islam ^a   Hirose, Keikichi ^a   Minematsu, Nabuaki ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MICROPHONES; NATURAL FREQUENCIES; SIGNAL PROCESSING; SIGNAL THEORY; SPECTRUM ANALYSIS;

EMPIRICAL MODE DECOMPOSITION (EMD); SEPARATION EFFICIENCY; STEREO MIXTURES; TIME-FREQUENCY (TF) REPRESENTATION;

BLIND SOURCE SEPARATION;

EID: 33745683217     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_80     Document Type: Conference Paper

References (7)

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3. Baeck, M., Zolzer, U.: Real-Time Implementation of Source Separation Algorithm. DAFx-03, London, UK, 2003.
4. http://sound.media.mit.edu/KEMAR.html
5. Huang, N.E. et. al.: The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc. Roy. Soc. London A, Vol. 454: 903-995, 1998.
6. Flandrin, P., Rilling, G., Goncalves, P.: Emperical Mode Decomposition as a filter bank. IEEE Sig. Proc. Letter, 2003.
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