TY - JOUR
T1 - Influence of different impulse response measurement signals on MUSIC-based sound source localization
AU - Suzuki, Takuya
AU - Otsuka, Hiroaki
AU - Akahori, Wataru
AU - Bando, Yoshiaki
AU - Okuno, Hiroshi G.
N1 - Funding Information:
The authors appreciate Professor Yutaka Kaneda for his valued supports and Dr. Kazuhiro Nakadai for his valuable advice and discussion. This research is supported primarily by JSPS Kakenhi (S) No.2420006, and partially supported by ImPACT Tough Robotic Challenge and Waseda University Leading Graduate Program for Embodiment Informatics.
Publisher Copyright:
© 2017, Fuji Technology Press. All rights reserved.
PY - 2017/2
Y1 - 2017/2
N2 - 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.
AB - 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.
KW - Acoustic transfer function
KW - Impulse response measurement techniques
KW - Multiple signal classification (MUSIC)
KW - Robot audition
KW - Sound source localization
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U2 - 10.20965/jrm.2017.p0072
DO - 10.20965/jrm.2017.p0072
M3 - Article
AN - SCOPUS:85013973674
SN - 0915-3942
VL - 29
SP - 72
EP - 82
JO - Journal of Robotics and Mechatronics
JF - Journal of Robotics and Mechatronics
IS - 1
ER -