Target sound extraction utilizing similarity between signals as index for learning of linear filter

In this paper, we propose a novel learning method of two‐channel linear filter for a target sound extraction in a non‐stationary noisy environment using a two‐channel microphone array. The method is based on a correlation coefficient between received sounds of two microphones. The cue signal, which has a correlation with a variation of S/N of the received sounds, is generated using the correlation coefficient and is applied to the learning. By several computer simulation results, a superior performance of the proposed method even at the consonant section of the speech signal is presented in comparison with the previously proposed method. © 2006 Wiley Periodicals, Inc. Electr Eng Jpn, 155(3): 45–52, 2006; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20141