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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106823


    Title: Gabor-based nonuniform scale-frequency map for environmental sound classification in home automation
    Authors: 王家慶;Wang, Jia-Ching;Lin, Chang-Hong;Chen, Bo-Wei;Tsai, Min-Kang
    Contributors: 資訊電機學院資訊工程學系
    Keywords: Accuracy;Atomic clocks;Automation;Background noise;Classification;Dictionaries;Environmental sound classification;Experiments;Feature extraction;Gabor function;home automation;Houses;matching pursuit (MP);Matching pursuit algorithms;Nonuniform;nonuniform scale-frequency map;Principal component analysis;Principal components analysis;Support vector machines
    Date: 2014-01-01
    Issue Date: 2026-04-23 13:45:50 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers Inc.;New York: IEEE
    Abstract: 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. Principal 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.
    其他題名: TASE
    出版者: New York: IEEE
    出版日期: 2014-04-01
    出處: IEEE transactions on automation science and engineering, 2014-04, Vol.11 (2), p.607-613
    資源來源: IEEE Electronic Library (IEL)
    版權: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Apr 2014
    識別號: ISSN: 1545-5955
    識別號: EISSN: 1558-3783
    識別號: DOI: 10.1109/TASE.2013.2285131
    識別號: CODEN: ITASC7
    Appears in Collections:[Department of Computer Science and information Engineering] journal & Dissertation

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