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JRM Vol.29 No.1 pp. 72-82
doi: 10.20965/jrm.2017.p0072
(2017)

Paper:

Influence of Different Impulse Response Measurement Signals on MUSIC-Based Sound Source Localization

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

*Faculty of Science and Engineering, Waseda University
3-4-1 Okubo, Shinjuku, Tokyo 169-8555, Japan

**Graduate School of Informatics, Kyoto University
Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan

***Graduate Program for Embodiment Informatics, Waseda University
2-4-12 Okubo, Shinjuku, Tokyo 169-0072, Japan

Received:
August 1, 2016
Accepted:
October 27, 2016
Published:
February 20, 2017
Keywords:
robot audition, impulse response measurement techniques, acoustic transfer function, sound source localization, multiple signal classification (MUSIC)
Abstract

Influence of Different Impulse Response Measurement Signals on MUSIC-Based Sound Source Localization

Six impulse response measurement signals

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.

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Last updated on Sep. 19, 2017