F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation

We present a frequency-domain method of noisy convolutive source separation, where we extend the SEONS algorithm (Choi et al. (2002)) that jointly exploits the nonstationarity and temporal structure of sources. Thus, the method is called F-SEONS, implying frequency-domain SEONS. Unlike most of the e...

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Bibliographic Details
Published in2005 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 3595 - 3598 Vol. 4
Main Authors Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin Choi
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Acoustic noise
Additive noise
Automatic speech recognition
Filtering
Finite impulse response filter
Microphones
Noise robustness
Sensor phenomena and characterization
Source separation
Speech enhancement
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Summary:We present a frequency-domain method of noisy convolutive source separation, where we extend the SEONS algorithm (Choi et al. (2002)) that jointly exploits the nonstationarity and temporal structure of sources. Thus, the method is called F-SEONS, implying frequency-domain SEONS. Unlike most of the existing methods of convolutive source separation, we consider the case of noisy data and show that our F-SEONS algorithm identifies multivariate FIR channels in a robust way. In addition, we employ an H/sub /spl infin// filtering method in order to further suppress the sensor noise. Numerical experiments compared to other methods confirm the high performance of our proposed method.
ISBN:9780780388345
0780388348
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2005.1465407