A method of blind separation on temporal structure of signals

被引：0

作者：

Ikeda, S ^{[1
]}

Murata, N ^{[1
]}

机构：

[1] RIKEN, Brain Sci Inst, Wako, Saitama 3510198, Japan

来源：

ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3 | 1998年

关键词：

convolutive mixtures; windowed Fourier transform;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this article, we propose an Blind Source Separation algorithm for convolutive mixture of signals. We propose a method of separating signals in the time-frequency domain. We apply the decorrelation method proposed by Molgedey and Schuster on spectrogram and reconstruct separated signals focusing on the temporal structure of the signals. We show some results of experiments with both artificially controlled data and speech data recorded in the real environment.

引用

页码：737 / 742

页数：6

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