Paper Abstract and Keywords |
Presentation |
2009-01-30 15:35
Development of blind signal extraction device based on noise estimation by parallel ICAs Takashi Hiekata, Youhei Ikeda, Hiroshi Hashimoto, Takashi Morita (Kobe Steel), Ruoyu Zhang (Feng), Yu Takahashi, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2008-135 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
A new blind signal extraction method in widespread noise conditions is proposed, which is based on multiple frequency-domain independent component analysis (FDICA) combining projection back and spectral subtraction.
In addition, We implement the proposed method to digital signal processor (DSP) for a more effective and realistic real-time operation, and develop a new blind signal extraction (BSE) device which can extract a target sound in real-time.
In this paper, we illustrate and evaluate the proposed method, BSE device and real-time implementation. And experimental results reveal that the extraction performance of the proposed method are superior to that of conventional methods, and we show the efficacy of the proposed method and the device. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
blind signal extraction / DSP / real-time processing / pocket-size device / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 411, EA2008-135, pp. 115-120, Jan. 2009. |
Paper # |
EA2008-135 |
Date of Issue |
2009-01-22 (EA) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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EA2008-135 |
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