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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
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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