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 extends the SEONS algorithm [2] that jointly exploits the nonstationarity and temporal structure of sources. Thus, the method is called F-SEONS, implying Frequency-domain SEONS. Unlike most of existing methods of convolutive source separation, we consider the case of noisy data and show that our F-SEONS algorithm identify multivariate FIR channels in a robust way. In addition, we employ an H∞ filtering method in order to further suppress the sensor noise. Numerical experiments with comparing to other methods, confirm the high performance of our proposed method.

• Type: Conference
• Year: 2005
• Where: ISCAS
• Authors: Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin Choi
• Keywords: Convolutive Source Separation, Frequency-domain Method, ISCAS 2005, Noisy Convolutive Source