Near-Field Sound-Source Localization Based on a Signed Binary Code

Miki SATO; Akihiko SUGIYAMA; Osamu HOSHUYAMA; Nobuyuki YAMASHITA; Yoshihiro FUJITA

doi:10.1093/ietfec/e88-a.8.2078

Near-Field Sound-Source Localization Based on a Signed Binary Code

Miki SATO, Akihiko SUGIYAMA, Osamu HOSHUYAMA, Nobuyuki YAMASHITA, Yoshihiro FUJITA

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This paper proposes near-field sound-source localization based on crosscorrelation of a signed binary code. The signed binary code eliminates multibit signal processing for simpler implementation. Explicit formulae with near-field assumption are derived for a two microphone scenario and extended to a three microphone case with front-rear discrimination. Adaptive threshold for enabling and disabling source localization is developed for robustness in noisy environment. The proposed sound-source localization algorithm is implemented on a fixed-point DSP. Evaluation results in a robot scenario demonstrate that near-field assumption and front-rear discrimination provides almost 40% improvement in DOA estimation. A correct detection rate of 85% is obtained by a robot in a home environment.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.8 pp.2078-2086

Publication Date: 2005/08/01

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DOI: 10.1093/ietfec/e88-a.8.2078

Type of Manuscript: Special Section PAPER (Special Section on Papers Selected from the 19th Symposium on Signal Processing)

Category: Digital Signal Processing

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Miki SATO, Akihiko SUGIYAMA, Osamu HOSHUYAMA, Nobuyuki YAMASHITA, Yoshihiro FUJITA, "Near-Field Sound-Source Localization Based on a Signed Binary Code" in IEICE TRANSACTIONS on Fundamentals, vol. E88-A, no. 8, pp. 2078-2086, August 2005, doi: 10.1093/ietfec/e88-a.8.2078.
Abstract: This paper proposes near-field sound-source localization based on crosscorrelation of a signed binary code. The signed binary code eliminates multibit signal processing for simpler implementation. Explicit formulae with near-field assumption are derived for a two microphone scenario and extended to a three microphone case with front-rear discrimination. Adaptive threshold for enabling and disabling source localization is developed for robustness in noisy environment. The proposed sound-source localization algorithm is implemented on a fixed-point DSP. Evaluation results in a robot scenario demonstrate that near-field assumption and front-rear discrimination provides almost 40% improvement in DOA estimation. A correct detection rate of 85% is obtained by a robot in a home environment.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.8.2078/_p

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@ARTICLE{e88-a_8_2078,
author={Miki SATO, Akihiko SUGIYAMA, Osamu HOSHUYAMA, Nobuyuki YAMASHITA, Yoshihiro FUJITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Near-Field Sound-Source Localization Based on a Signed Binary Code},
year={2005},
volume={E88-A},
number={8},
pages={2078-2086},
abstract={This paper proposes near-field sound-source localization based on crosscorrelation of a signed binary code. The signed binary code eliminates multibit signal processing for simpler implementation. Explicit formulae with near-field assumption are derived for a two microphone scenario and extended to a three microphone case with front-rear discrimination. Adaptive threshold for enabling and disabling source localization is developed for robustness in noisy environment. The proposed sound-source localization algorithm is implemented on a fixed-point DSP. Evaluation results in a robot scenario demonstrate that near-field assumption and front-rear discrimination provides almost 40% improvement in DOA estimation. A correct detection rate of 85% is obtained by a robot in a home environment.},
keywords={},
doi={10.1093/ietfec/e88-a.8.2078},
ISSN={},
month={August},}

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TY - JOUR
TI - Near-Field Sound-Source Localization Based on a Signed Binary Code
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2078
EP - 2086
AU - Miki SATO
AU - Akihiko SUGIYAMA
AU - Osamu HOSHUYAMA
AU - Nobuyuki YAMASHITA
AU - Yoshihiro FUJITA
PY - 2005
DO - 10.1093/ietfec/e88-a.8.2078
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2005
AB - This paper proposes near-field sound-source localization based on crosscorrelation of a signed binary code. The signed binary code eliminates multibit signal processing for simpler implementation. Explicit formulae with near-field assumption are derived for a two microphone scenario and extended to a three microphone case with front-rear discrimination. Adaptive threshold for enabling and disabling source localization is developed for robustness in noisy environment. The proposed sound-source localization algorithm is implemented on a fixed-point DSP. Evaluation results in a robot scenario demonstrate that near-field assumption and front-rear discrimination provides almost 40% improvement in DOA estimation. A correct detection rate of 85% is obtained by a robot in a home environment.
ER -