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Dual-Microphone Sound Source Localization Based on the State Transition Algorithm
ID：141 View Protection：ATTENDEE Updated Time：2025-11-10 16:02:21 Hits：153 Poster Presentation

Start Time：Pending（Asia/Shanghai）

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Abstract
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.
Keywords
binaural localization, TDOA, GCC-PHAT, STA, optimization algorithm, sound source localization
Speaker
Xiaoqin Liu
Professor Kunming University of Science and Technology

Submission Author
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
Shiyang Wang Kunming University of Science and Technology
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Important Date

  • Conference Date

    Nov 21

    2025

    to

    Nov 23

    2025

  • Oct 20 2025

    Draft paper submission deadline

  • Dec 08 2025

    Registration deadline

Sponsored By
IEEE Instrumentation and Measurement Society
South China University of Technology
Organized By
South China University of Technology
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