Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis

Authors:
Makoto Yamada;Gordon Wichern;Kazunobu Kondo;Masashi Sugiyama;Hiroshi Sawada
Affiliations:
NTT Communication Science Laboratories, NTT Corporation, 2-4, Hikaridai, Seika-cho, Kyoto 619-0237, Japan;School of Arts, Media + Engineering, Arizona State University, Tempe, AZ 85281, USA;Corporate Research & Development Center, Yamaha Corporation, 203 Matsunokijima, Iwata, Shizuoka 438-0192, Japan;Department of Computer Science, Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, Tokyo 152-8552, Japan;NTT Communication Science Laboratories, NTT Corporation, 2-4, Hikaridai, Seika-cho, Kyoto 619-0237, Japan
Venue:
Digital Signal Processing
Year:
2013

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Abstract

Initializing an unmixing matrix is an important problem in source separation since an objective function to be optimized is typically non-convex. In this paper, we consider the problem of two-source signal separation from a two-microphone array located on a mobile device, where a point source such as a speech signal is placed in front of the array, while no information is available about another interference signal. We propose a simple and computationally efficient method for estimating the geometry and source type (a point or diffuse) of the interference signal, which allows us to adaptively choose a suitable unmixing matrix initialization scheme. Our proposed method, noise adaptive optimization of matrix initialization (NAOMI), is shown to be effective through source separation simulations.