Dual-Microphone Sound Source Localization Based on the State Transition Algorithm
编号:141 访问权限:仅限参会人 更新:2025-11-10 16:02:21 浏览:33次 张贴报告

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摘要
During the operation of industrial equipment, acoustic signals contain rich information about system states. Spatial localization of these signals can assist in equipment condition monitoring and fault diagnosis. This paper proposes a dual-microphone sound source localization method based on the State Transition Algorithm (STA). The method first calculates the time-varying time difference of arrival (TDOA) curves of the dual microphones during rotation using the Generalized Cross-Correlation with Phase Transform (GCC-PHAT) algorithm, and estimates the azimuth and elevation angles of the sound source at the peak instants in combination with the array’s spatial positions. Subsequently, a residual function is constructed from multiple sets of TDOA data, and STA is employed for global optimization to achieve stable and high-precision sound source azimuth estimation. Simulation results demonstrate that the method can accurately localize industrial equipment sounds, with an average azimuth error of approximately 0.01° and an average elevation error of approximately 0.31°, confirming the effectiveness and robustness of the proposed approach in sound source localization.
关键词
binaural localization, TDOA, GCC-PHAT, STA, optimization algorithm, sound source localization
报告人
Xiaoqin Liu
Professor Kunming University of Science and Technology

稿件作者
Shiyang Wang Kunming University of Science and Technology
Xiaoqin Liu Kunming University of Science and Technology
Yashan Li Kunming University of Science and Technology
Xing Wu West Yunnan University of Applied Sciences
Jianlong Li Kunming University of Science and Technology
Ping Lu Kunming University of Science and Technology
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重要日期
  • 会议日期

    11月21日

    2025

    11月23日

    2025

  • 10月20日 2025

    初稿截稿日期

  • 11月23日 2025

    注册截止日期

主办单位
IEEE Instrumentation and Measurement Society
South China University of Technology
承办单位
South China University of Technology
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