Institute of Information Theory and Automation

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Bibliography

Conference Paper (international conference)

Adaptive Time-Domain Blind Separation of Speech Signals

Málek J., Koldovský Zbyněk, Tichavský Petr

: Lecture Notes in Computer Science, p. 9-16 , Eds: Gavrilova M.L., Kumar V., Mun Y., Tan C.J.K., Gervasi O.

: Latent Variable Analysis and Signal Separation, (St. Malo, FR, 27.09.2010-30.09.2010)

: CEZ:AV0Z10750506

: 1M0572, GA MŠk, GA102/09/1278, GA ČR, GA102/08/0707, GA ČR

: blind source separation, speech, convolutive mixture, adaptive algorithms

: http://library.utia.cas.cz/separaty/2010/SI/tichavsky-adaptive time-domain blind separation of speech signals.pdf

(eng): We present an adaptive algorithm for blind audio source separation (BASS) of moving sources via Independent Component Analysis (ICA) in time-domain. The method is shown to achieve good separation quality even with a short demixing filter length (L = 30). Our experiments show that the proposed adaptive algorithm can outperform the off-line version of the method (in terms of the average output SIR), even in the case in which the sources do not move, because it is capable of better adaptation to the nonstationarity of the speech.

: BB

2019-01-07 08:39