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In this paper, aiming to utilize independent recording devices as a distributed microphone array, we present a novel method for alignment of recorded signals with localizing microphones and sources. Unlike conventional microphone array, signals recorded by independent devices have different origins of time, and microphone positions are generally unknown. In(More)
This paper describes a new design of the Wiener post-filter for diffuse noise suppression. The Wiener post-filter is well-known as an effective post-processing of the minimum variance distortionless response beamformer, and its output is the optimal estimate of the target signal in the sense of the minimum mean square error. It is essential to accurately(More)
This paper describes a new framework for extracting the target signal in diffuse noise environments. We utilize crystal arrays, a certain class of symmetrical microphone arrays with crystal-like geometries, which enable interchannel decorrela-tion of isotropic noise without knowing the value of its co-variance matrix. We refer to this decorrelation as blind(More)
This paper presents crystal-MUSIC, a method for DOA estimation of multiple sources in the presence of diffuse noise. MUSIC is well known as a method for the estimation of the DOAs of multiple sources but is not very robust to diffuse noise from many directions, because the covariance structure of such noise is not spherical. Our method makes it possible for(More)
This paper deals with joint suppression of diffuse noise and reverberation , to enhance perceived speech quality and speech recognition performance. Although diffuse noise and reverberation are both omnipresent in the real world, conventional methods have modeled only one while neglecting the other. In contrast, we propose a novel joint suppression method(More)