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  • Comparison of techniques for environmental sound recognition

    Author(s)
    Cowling, Michael
    Sitte, Renate
    Griffith University Author(s)
    Sitte, Renate
    Cowling, Michael
    Year published
    2003
    Metadata
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    Abstract
    This paper presents a comprehensive comparative study of artificial neural networks, learning vector quantization and dynamic time warping classification techniques combined with stationary/non-stationary feature extraction for environmental sound recognition. Results show 70% recognition using mel frequency cepstral coefficients or continuous wavelet transform with dynamic time warping.This paper presents a comprehensive comparative study of artificial neural networks, learning vector quantization and dynamic time warping classification techniques combined with stationary/non-stationary feature extraction for environmental sound recognition. Results show 70% recognition using mel frequency cepstral coefficients or continuous wavelet transform with dynamic time warping.
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    Journal Title
    Pattern Recognition Letters
    Volume
    24
    DOI
    https://doi.org/10.1016/S0167-8655(03)00147-8
    Subject
    Artificial Intelligence and Image Processing
    Electrical and Electronic Engineering
    Cognitive Sciences
    Publication URI
    http://hdl.handle.net/10072/5902
    Collection
    • Journal articles

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