On Detecting Target Acoustic Signals Based on Non-negative Matrix Factorization
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概要
- 論文の詳細を見る
In this paper, we propose a novel target acoustic signal detection approach which is based on non-negative matrix factorization (NMF). Target basis vectors are trained from the target signal database through NMF, and input vectors are projected onto the subspace spanned by these target basis vectors. By analyzing the distribution of time-varying normalized projection error, the optimal threshold can be calculated to detect the target signal intervals during the entire input signal. Experimental results show that the proposed algorithm can detect the target signal successfully under various signal environments.
- 2010-04-01
著者
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KIM Nam
School of Electrical and Computer Engineering, Chungbuk National University
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Jin Yu
School Of Electrical Engineering And The Institute Of New Media And Communications Seoul National Un
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Kim Nam
School Of Electrical Engineering And The Institute Of New Media And Communications Seoul National Un
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Kim Nam
School Of Electrical And Computer Engineering Chungbuk National University
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Jin Yu
School Of Electrical Engineering And The Inmc Seoul National University
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Kim Nam
School Of Electrical And Computer Engineering Chungbuk National Univ.
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KIM Nam
School of Architecture and Architectural Engineering, Korea University of Technology and Education
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