Speech "siglet" detection for business microscope

Jun Nishimura, Nobuo Sato, Tadahiro Kuroda

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

    12 Citations (Scopus)

    Abstract

    "Business Microscope" is a tool which provides knowledge workers with a bird-eye view of their daily communication. To meet the problem of the energy consumption of sensor nodes and privacy concerns for wearers and non-wearers, "siglet" sensing is proposed. Siglet sensing is a way to capture very short and noise-like signals by sensors operating on a low duty ratio. To extract the useful information on workers' communication, speech siglet detection is studied. The LBG trained speech and workplace nonspeech models with Mel Frequency Cepstrum Coefficients (MFCCs) as feature vectors are utilized. A hierarchical pruning technique is studied to reduce the calculation cost of the matching process to nearly 25% and refine the classification accuracy. Our approach achieved average speech and nonspeech classification accuracy of 99.96% on 0. 1s long test siglets.

    Original languageEnglish
    Title of host publication6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
    Pages147-152
    Number of pages6
    DOIs
    Publication statusPublished - 2008 Aug 15
    Event6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008 - Hong Kong, Hong Kong
    Duration: 2008 Mar 172008 Mar 21

    Publication series

    Name6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008

    Other

    Other6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
    CountryHong Kong
    CityHong Kong
    Period08/3/1708/3/21

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Communication

    Fingerprint Dive into the research topics of 'Speech "siglet" detection for business microscope'. Together they form a unique fingerprint.

  • Cite this

    Nishimura, J., Sato, N., & Kuroda, T. (2008). Speech "siglet" detection for business microscope. In 6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008 (pp. 147-152). [4517388] (6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008). https://doi.org/10.1109/PERCOM.2008.83