Influence of different impulse response measurement signals on MUSIC-based sound source localization

Takuya Suzuki, Hiroaki Otsuka, Wataru Akahori, Yoshiaki Bando, Hiroshi G. Okuno

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    Two major functions, sound source localization and sound source separation, provided by robot audition open source software HARK exploit the acoustic transfer functions of a microphone array to improve the performance. The acoustic transfer functions are calculated from the measured acoustic impulse response. In the measurement, special signals such as Time Stretched Pulse (TSP) are used to improve the signal-to-noise ratio of the measurement signals. Recent studies have identified the importance of selecting a measurement signal according to the applications. In this paper, we investigate how six measurement signals – up-TSP, down-TSP, M-Series, Log-SS, NW-SS, and MN-SS – influence the performance of the MUSIC-based sound source localization provided by HARK. Experiments with simulated sounds, up to three simultaneous sound sources, demonstrate no significant difference among the six measurement signals in the MUSIC-based sound source localization.

    Original languageEnglish
    Pages (from-to)72-82
    Number of pages11
    JournalJournal of Robotics and Mechatronics
    Volume29
    Issue number1
    DOIs
    Publication statusPublished - 2017 Feb 1

    Keywords

    • Acoustic transfer function
    • Impulse response measurement techniques
    • Multiple signal classification (MUSIC)
    • Robot audition
    • Sound source localization

    ASJC Scopus subject areas

    • Computer Science(all)
    • Electrical and Electronic Engineering

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