Gabor-based nonuniform scale-frequency map for environmental sound classification in home automation

Jia Ching Wang, Chang Hong Lin, Bo Wei Chen, Min Kang Tsai

研究成果: 雜誌貢獻期刊論文同行評審

52 引文 斯高帕斯(Scopus)

摘要

This work presents a novel feature extraction approach called nonuniform scale-frequency map for environmental sound classification in home automation. For each audio frame, important atoms from the Gabor dictionary are selected by using the Matching Pursuit algorithm. After the system disregards phase and position information, the scale and frequency of the atoms are extracted to construct a scale-frequency map. Principle Component Analysis (PCA) and Linear Discriminate Analysis (LDA) are then applied to the scale-frequency map, subsequently generating the proposed feature. During the classification phase, a segment-level multiclass Support Vector Machine (SVM) is operated. Experiments on a 17-class sound database indicate that the proposed approach can achieve an accuracy rate of 86.21%. Furthermore, a comparison reveals that the proposed approach is superior to the other time-frequency methods.

原文???core.languages.en_GB???
文章編號6656970
頁(從 - 到)607-613
頁數7
期刊IEEE Transactions on Automation Science and Engineering
11
發行號2
DOIs
出版狀態已出版 - 4月 2014

指紋

深入研究「Gabor-based nonuniform scale-frequency map for environmental sound classification in home automation」主題。共同形成了獨特的指紋。

引用此