Haar-like filtering with center-clipped emphasis for speech detection in sensornet

Jun Nishimura, Tadahiro Kuroda

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    The use of haar-like filtering for resourced-constrained speech detection in sensornet application is explored. The simple haar-like filters having variable filter width and shift width are trained to learn appropriate filter parameters from the training samples to detect speech. To further refine the accuracy, the center-clipped emphasis is proposed as a new degree of freedom for more adaptive Haar-like filter designs. Our method yielded speech/nonspeech classification accuracy of 98.33% for the input length of 0.1s. Compared with high performance feature extraction method MFCC (Mel-Frequency Cepstrum Coefficient), the proposed haar-like filtering can be approximately 98.40% efficient in terms of the amount of add and multiply computation while capable of achieving the error rate of only 1.63% relative to MFCC.

    Original languageEnglish
    Title of host publication2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings
    Pages1-4
    Number of pages4
    DOIs
    Publication statusPublished - 2009 Apr 8
    Event2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009 - Marco Island, FL, United States
    Duration: 2009 Jan 42009 Jan 7

    Publication series

    Name2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings

    Other

    Other2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009
    CountryUnited States
    CityMarco Island, FL
    Period09/1/409/1/7

    Keywords

    • Center-clipped emphasis
    • Haar-like filtering
    • Sensornet
    • Speech detection

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Signal Processing
    • Electrical and Electronic Engineering

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  • Cite this

    Nishimura, J., & Kuroda, T. (2009). Haar-like filtering with center-clipped emphasis for speech detection in sensornet. In 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings (pp. 1-4). [4785885] (2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, DSP/SPE 2009, Proceedings). https://doi.org/10.1109/DSP.2009.4785885