Efficient blind speech separation suitable for embedded devices


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Please use this identifier to cite or link to this item: http://hdl.handle.net/10061/8291

Title:	Efficient blind speech separation suitable for embedded devices
Authors:	Kazunobu Kondo Yu Takahashi Seiichi Hashimoto Hiroshi Saruwatari Takanori Nishino Kazuya Takeda
Issue Date:	Aug-2011
Publisher:	EURASIP
Start page:	2319
End page:	2323
Abstract:	A blind speech separation method with a low computational complexity is proposed. This method consists of a combination of independent component analysis with frequency band selection, and a frame-wise spectral softmask method based on an inter-channel power ratio of tentative separated signals in the frequency domain. The softmask cancels the transfer function between sources and separated signals. A theoretical analysis is given. Performance and effectiveness are evaluated via source separation simulations and a computational estimate, and experimental results show the significantly improved performance of the proposed method. The segmen-al signal-to-noise ratio achieves 7 [dB] and 3 [dB], and the cepstral distortion achieves 1 [dB] and 2.5 [dB], in anechoic and reverberant conditions, respectively. Moreover, there can be a reduction of over 80% in computational complexity compared with unmodified FDICA.
Description:	EUSIPCO 2011: the 19th European Signal Processing Conference, August 29 - September 2, 2011, Barcelona, Spain
URI:	http://hdl.handle.net/10061/8291
ISSN:	2076-1465
Rights:	Copyright 2010 EURASIP
Text Version:	Publisher
Appears in Collections:	情報科学研究科 / Graduate School of Information Science

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