On Detecting Target Acoustic Signals Based on Non-negative Matrix Factorization

Yu Gwang JIN  Nam Soo KIM  

IEICE TRANSACTIONS on Information and Systems   Vol.E93-D   No.4   pp.922-925
Publication Date: 2010/04/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E93.D.922
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Pattern Recognition
acoustic target signal detection,  non-negative matrix factorization,  normalized projection error,  

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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.