Blind extraction of a dominant source from mixtures of many sources using ICA and time-frequency masking

被引：11

作者：

Sawada, H ^{[1
]}

Araki, S ^{[1
]}

Mukai, R ^{[1
]}

Makino, S ^{[1
]}

机构：

[1] NTT Corp, NTT Commun Sci Labs, Kyoto 6190237, Japan

来源：

2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS | 2005年

关键词：

D O I：

10.1109/ISCAS.2005.1465977

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a method for enhancing a target source of interest and suppressing other interference sources. The target source is assumed to be close to sensors, to have dominant power at these sensors, and to have non-Gaussianity. The enhancement is performed blindly, i.e. without knowing the total number of sources or information about each source, such as position and active time. We consider a general case where the number of sources is larger than the number of sensors. We employ a two-stage process where independent component analysis (ICA) is first employed in each frequency bin and time-frequency masking is then used to improve the performance further. We propose a new sophisticated method for selecting the target source frequency components, and also a new criterion for specifying time-frequency masks. Experimental results for simulated cocktail party situations in a room (reverberation time was 130 ms) are presented to show the effectiveness and characteristics of the proposed method.

引用

页码：5882 / 5885

页数：4

共 15 条

[11]

Mukai R, 2002, NEURAL NETWORKS FOR SIGNAL PROCESSING XII, PROCEEDINGS, P435, DOI 10.1109/NNSP.2002.1030055

[12]

MUKAI R, 2004, P ISCAS 2004 MAY, V5, P1

[13]

Roman N, 2004, INT CONF ACOUST SPEE, P373

[14] A robust and precise method for solving the permutation problem of frequency-domain blind source separation [J].

Sawada, H ;

Mukai, R ;

Araki, S ;

Makino, S .

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2004, 12 (05) :530-538

[15]

Sawada H, 2003, IEICE T FUND ELECTR, VE86A, P590

← 1 2 →