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Author Araki, Shoko ♦ Makino, Shoji ♦ Sawada, Hiroshi ♦ Mukai, Ryo
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Binary Mask ♦ Loud Musical Noise ♦ Directivity Pattern ♦ Remain-ing Mixture ♦ Little Distortion ♦ Independent Component Analysis ♦ Contin-uous Mask ♦ Single Source ♦ Real Reverberant Environment ♦ Ex-tracted Signal ♦ Speech Signal ♦ Experimental Result
Abstract We propose a method for separating speech signals when sources outnumber the sensors. In this paper we mainly concentrate on the case of three sources and two sensors. Some existing methods employ binary masks to extract the signals, and therefore, the ex-tracted signals contain loud musical noise. To overcome this prob-lem, we propose the utilization of a directivity pattern based contin-uous mask, which removes a single source from the observations, and independent component analysis (ICA) to separate the remain-ing mixtures. Experimental results show that our proposed method can separate signals with little distortion even in a real reverberant environment of TR=130 ms. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article