@inproceedings{18234fa98eed4271ba757bbd0681a10d,
title = "2D semi-NMF of scale-frequency map for environmental sound classification",
abstract = "This paper introduces a novel two dimensional feature extraction method for environmental sound classification, based on two dimensional semi-nonnegative matrix factorization (2D Semi-NMF) of scale-frequency maps. We first extract scale-frequency maps (SFMs) from the input signals, and this feature is considered preserving scale and frequency characteristics of signals. Second, a 2D Semi-NMF method is applied on SFMs to get more information of the input signals. We use the combinational coefficients extracted from 2D Semi-NMF for classification. Experimental results on an 8 class environmental sound database show that 2D Semi-NMF has better classification accuracy than traditional ID NMF and 2D NMF Also, applying 2D Semi-NMF on SFMs will get slightly improvement than SFMs features alone.",
keywords = "Environmental sound classification, scale-frequency map (SFM), two dimensional semi-nonnegative matrix factorization (2D Semi-NMF)",
author = "Hsieh, {Wen Chi} and Ho, {Chin Wen} and Duong, {Viet Hang} and Lee, {Yuan Shan} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2014 Asia-Pacific Signal and Information Processing Ass.; 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 ; Conference date: 09-12-2014 Through 12-12-2014",
year = "2014",
month = feb,
day = "12",
doi = "10.1109/APSIPA.2014.7041681",
language = "???core.languages.en_GB???",
series = "2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014",
}