Performance Comparison of UCA and UCCA based Real-time Sound Source Localization Systems using Circular Harmonics SRP Method
This work addresses performance optimization for sound source localization systems, which is incremental as it compares existing array types in a real-time setting.
The paper tackled real-time sound source localization by comparing uniform circular arrays (UCA) and uniform concentric circular arrays (UCCA) using circular harmonics SRP, finding that UCCA provides significant improvement over UCA in real-room experiments.
Many sound source localization (SSL) algorithms based on circular microphone array (CMA), including uniform circular array (UCA) and uniform concentric circular array (UCCA), have been well developed and verified via computer simulations and offline processing. On the other hand, beamforming in the harmonic domain has been shown to be a very efficient tool for broadband sound source localization due to its frequency-invariant properties. In this paper, design, implementation, and performance of a real-time sound source localization system are discussed. Specifically, we analyze the effect of parameter settings and compare the performance between UCA and UCCA through real-time experiments in a real room. The proposed method shows significant improvement by using UCCA instead of UCA.