Speaker recognition using speaker-independent universal acoustic model and synchronous sensing for "Business Microscope"

Jun Nishimura, Tadahiro Kuroda

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

    1 Citation (Scopus)

    Abstract

    "Business Microscope" visualizes interactions among knowledge workers in organization by sensing their face-to-face communication using sensornet. To analyze the workers' communication in detail speaker recognition for each node is needed In the conventional studies, specific speaker-dependent training samples and acoustic model are required to recognize each speaker. In this work, speaker recognition using speaker-independent universal acoustic model is proposed This method utilizes synchronous sensing of sensornet to extract the cepstral difference in acoustic channel and allows all speakers in the system to use same single acoustic model. The universal acoustic model constructed from 41 channel filterbank MFCC and large-sized LBG codebook achieved speaker recognition accuracy of 97.32% on test inputs of 0.2s for four speakers. With the synchronization error (<120ms) among sensor nodes, the drop in recognition accuracy of less than 2 pts is observed

    Original languageEnglish
    Title of host publication2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009
    DOIs
    Publication statusPublished - 2009 Apr 27
    Event2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009 - Melbourne, VIC, Australia
    Duration: 2009 Feb 112009 Feb 13

    Publication series

    Name2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009

    Other

    Other2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009
    CountryAustralia
    CityMelbourne, VIC
    Period09/2/1109/2/13

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Software

    Fingerprint Dive into the research topics of 'Speaker recognition using speaker-independent universal acoustic model and synchronous sensing for "Business Microscope"'. Together they form a unique fingerprint.

  • Cite this

    Nishimura, J., & Kuroda, T. (2009). Speaker recognition using speaker-independent universal acoustic model and synchronous sensing for "Business Microscope". In 2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009 [4800609] (2009 4th International Symposium on Wireless and Pervasive Computing, ISWPC 2009). https://doi.org/10.1109/ISWPC.2009.4800609