Time–frequency audio feature extraction based on tensor representation of sparse coding
Author:
Affiliation:
1. School of Electronic and Information EngineeringSouth China University of TechnologyGuangzhouPeople's Republic of China
Funder
Natural Science Foundation of Guangdong Province
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2014.3333
Reference8 articles.
1. Time–frequency matrix feature extraction and classification of environmental audio signals;Ghoraani B.;IEEE Trans. Audio Speech Lang. Process.,2011
2. Dictionary learning based sparse coefficients for audio classification with max and average pooling;Zubair S.;Digital Signal Process.,2013
3. Environmental sound recognition with time–frequency audio features;Chu S.;IEEE Trans. Audio Speech Lang. Process.,2009
4. Nonnegative Matrix and Tensor Factorizations
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