TANG Zihan;LUO Yunrong;HU Jincheng;YANG Yurui;

• 1:School of Physics and Electronics
• 2: Hunan Normal University

Abstract：

This paper presents a sound source localization experimental setup that integrates microphone-array technology with neural networks and the generalized cross-correlation timedelay(GCC-TD) method. The system first preprocesses raw acoustic signals with a Kalman filter, then estimates the time-difference-of-arrival between microphones via GCC-TD, and finally employs a single-hidden-layer neural network to map these time differences onto two-dimensional coordinates, thereby pinpointing the sound source. Replacing conventional mathematical models with a neural network markedly mitigates systematic errors arising from ambient noise, sound-speed variations, and hardware latency, while simultaneously cutting computational complexity and memory requirements. Experimental results demonstrate that the apparatus offers high accuracy, low cost, and real-time display and logging of measurement data.

Key Words： microphone arrays;sound source localization;neural network;generalized cross-correlation time delay

Abstract:

Keywords:

Foundation: 国家自然科学基金项目（11747034）;; 国家级大学生创新创业训练计划项目（S202410542012,202510542020）;; 湖南师范大学教学改革研究项目（JG2025020）

Authors: TANG Zihan;LUO Yunrong;HU Jincheng;YANG Yurui;

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