An LCMV-based Scan-and-Sum Beamformer to Extract In-region Sound Sources

This paper addresses the extraction of the in-region sound sources. To solve this problem, we propose an LCMV-based Scan-and-Sum Beamformer (LCMV-SS-BF) that can extract sources within a specified wide and continuous region by integrating an LCMV Beamformer (LCMV-BF) for continuous region separation and a Scan-and-Sum Beamformer (SS-BF) for wide-area source separation. Numerical simulations using convolutional source datasets showed the effectiveness of source extraction by LCMV-SS-BF.

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Publication Details

Journal
Journal of the Robotics Society of Japan
Published
2025-01-01
DOI
https://doi.org/10.7210/jrsj.43.537
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

An LCMV-based Scan-and-Sum Beamformer to Extract In-region Sound Sources

Katsutoshi Itoyama, Kazuhiro Nakadai, Aoto Yasue, Yen Benjamin
Journal of the Robotics Society of Japan
Speech and Audio Processing
article

An LCMV-based Scan-and-Sum Beamformer to Extract In-region Sound Sources

Katsutoshi Itoyama, Kazuhiro Nakadai, Aoto Yasue, Yen Benjamin
article en

Abstract

This paper addresses the extraction of the in-region sound sources. To solve this problem, we propose an LCMV-based Scan-and-Sum Beamformer (LCMV-SS-BF) that can extract sources within a specified wide and continuous region by integrating an LCMV Beamformer (LCMV-BF) for continuous region separation and a Scan-and-Sum Beamformer (SS-BF) for wide-area source separation. Numerical simulations using convolutional source datasets showed the effectiveness of source extraction by LCMV-SS-BF.

Journal of the Robotics Society of JapanVol. 43(5)
Tokyo Institute of Technology (JP), Honda (Japan) (JP), Institute of Science Tokyo (JP)
Climate action
Openalex Percentile: Top 84%
Speech and Audio Processing
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