Blind Source Separation Using Dodecahedral Microphone Array under Reverberant Conditions

被引：2

作者：

Ogasawara, Motoki ^{[1
]}

Nishino, Takanori ^{[2
]}

Takeda, Kazuya ^{[1
]}

机构：

[1] Nagoya Univ, Grad Sch Informat Sci, Nagoya, Aichi 4648603, Japan

[2] Mie Univ, Grad Sch Engn, Tsu, Mie 5148507, Japan

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2011年 / E94A卷 / 03期

关键词：

dodecahedral microphone array; frequency domain independent component analysis (FD-ICA); signal-to-intetference ratio improvement score; SIGNALS;

D O I：

10.1587/transfun.E94.A.897

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The separation and localization of sound source signals are important techniques for many applications, such as highly realistic communication and speech recognition systems. These systems are expected to work without such prior information as the number of sound sources and the environmental conditions. In this paper, we developed a dodecahedral microphone array and proposed a novel separation method with our developed device. This method refers to human sound localization cues and uses acoustical characteristics obtained by the shape of the dodecahedral microphone array. Moreover, this method includes an estimation method of the number of sound sources that can operate without prior information. The sound source separation performances were evaluated under simulated and actual reverberant conditions, and the results were compared with the conventional method. The experimental results showed that our separation performance outperformed the conventional method.

引用

页码：897 / 906

页数：10

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