Time–frequency audio feature extraction based on tensor representation of sparse coding

A time–frequency audio feature extraction scheme is proposed, in which features are decomposed from a frequency–time–scale tensor. The tensor, derived from a weight vector and a Gabor dictionary in sparse coding, represents the frequency, time centre and scale of transient time–frequency components...

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Veröffentlicht in:	Electronics letters Jg. 51; H. 2; S. 131 - 132
Hauptverfasser:	Zhang, Xue-Yuan, He, Qian-Hua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 22.01.2015
Schlagworte:	Acoustical engineering audio coding Classification Coding Dictionaries Feature extraction frequency time scale tensor Gabor atoms Gabor dictionary Mathematical analysis Sound effects sound effects classification sparse coding features tensor element values tensor representation Tensors time frequency audio feature extraction scheme transient time frequency components Vectors (mathematics) transient time frequency components feature extraction tensor representation sparse coding features Gabor atoms tensor element values frequency time scale tensor sound effects classification Gabor dictionary time frequency audio feature extraction scheme audio coding
ISSN:	0013-5194, 1350-911X, 1350-911X
Online-Zugang:	Volltext
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