Method and practice of microphone array speech source localization based on sound propagation modeling

被引：0

作者：

Meng, Gang ^{[1
]}

Yang, Chao ^{[1
]}

Guo, Hui ^{[1
]}

Wang, Yansong ^{[1
]}

机构：

[1] Shanghai University of Engineering Science, Shanghai

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Far-field sound model; Microphone array; Near-field sound model; Speech source localization; Time delay algorithm;

D O I：

10.2478/amns-2024-2681

中图分类号：

学科分类号：

摘要：

This paper realizes the speech source localization for microphone arrays based on the sound propagation model. According to the actual environment and location of the sound source, this paper divides the sound source into far-field source and near-field source and constructs the far-field sound model and near-field sound model applicable to the microphone array. The TDOA time-delayed localization algorithm is employed to locate the voice source of the microphone array by judging the sound far and near the field. In the localization test, this paper selects microphones to form an array according to the actual needs and preprocesses the sound signal data required for practice. The preprocessing data and sound source localization practice prove that the microphone array speech source localization algorithm used in this paper can effectively estimate the actual position of the sound source, and the absolute error between its estimated sound source position and the actual sound source position is only about 0.3m. © 2024 Gang Meng et al., published by Sciendo.

引用

共 26 条

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