Sound Source Localization of an Aircraft Cabin Using Probability Beamforming

This article elaborates on the principle of traditional beamforming sound source localization methods and their limitations in the application of enclosed reverberation spaces in aircraft cabins. On this basis, a probabilistic beamforming sound source localization method is proposed. This improved method introduces the concept of probability to distinguish between real and fake sound sources, improving the accuracy of sound source localization. Experiments were conducted in an airplane environment, and multiple microphone array synchronization methods were introduced in the experiments. The results indicate that the proposed method has more accurate positioning and recognition capabilities, which can provide assistance for acoustic design and abnormal sound detection work.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/meae62008.2024.11026497
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

Sound Source Localization of an Aircraft Cabin Using Probability Beamforming

Haiquan Wu, Zhenyu Huang, Chenyi Zhao, Jiaan Chen et al.
Speech and Audio Processing
article

Sound Source Localization of an Aircraft Cabin Using Probability Beamforming

Haiquan Wu, Zhenyu Huang, Chenyi Zhao, Jiaan Chen, Wanxie Zhong, Huayong Zhao
article en

Abstract

This article elaborates on the principle of traditional beamforming sound source localization methods and their limitations in the application of enclosed reverberation spaces in aircraft cabins. On this basis, a probabilistic beamforming sound source localization method is proposed. This improved method introduces the concept of probability to distinguish between real and fake sound sources, improving the accuracy of sound source localization. Experiments were conducted in an airplane environment, and multiple microphone array synchronization methods were introduced in the experiments. The results indicate that the proposed method has more accurate positioning and recognition capabilities, which can provide assistance for acoustic design and abnormal sound detection work.

Commercial Aircraft Corporation of China (China) (CN), Shanghai Jiao Tong University (CN)
Shanghai Jiao Tong University
Affordable and clean energy
Openalex Percentile: Top 66%
Speech and Audio Processing
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