A BLIND SEPARATION OF MONAURAL SOUND BASED ON PEAK TRACKING OF FREQUENCY SPECTRA

被引：1
|
作者：
Yamahata, Shoko [1 ]
Matsumoto, Mitsuharu [2 ]
Hashimoto, Shuji [1 ]
机构：
[1] Waseda Univ, Shinjuku Ku, 3-4-1 Okubo, Tokyo 1698555, Japan
[2] Univ Electro Commun, Tokyo 1828585, Japan
来源：
2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT AND ENGINEERING, PROCEEDINGS | 2009年
关键词：
D O I：
10.1109/ICIME.2009.33
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes a blind separation algorithm of monaural sound based on peak tracking of frequency spectra. We have already reported a blind separation method based on the change ratio of frequency components. However, it cannot handle a signal with frequency fluctuation such as a speech signal or a vibrato tone, because such type of signal is regarded as the mixture of different sounds. Our new method proposed in this paper can handle a sound with frequency fluctuation by tracking frequency peaks along time axis. The effectiveness of the proposed method is evaluated with some experiments on real voice data.
引用
收藏
页码：305 / +
页数：3
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