Perceptual Localization of Virtual Sound Source Based on Loudspeaker Triplet

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Abstract

When using a loudspeaker triplet for virtual sound localization, the traditional conversion method will result in inaccurate localization. In this paper, we constructed a perceptual localization distortion model based on the basic principle of binaural perception sound source localization and relying on the known PKU HRTFs database. On this basic, the perceptual localization errors of virtual sources were calculated by using PKU HRTFs. After analyzing the perceptual localization errors of virtual sources reproduced by loudspeaker triplets, it was found that the main influence factor, i.e., the convergence angle of the loudspeaker triplet, could constrain the perceptual localization distortion. Simulation and subjective evaluation experiments indicate that the proposed selection method outperforms the traditional method, and that the proposed method can be successfully applied to perceptual localization of the moving virtual source.

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Guan, D., Li, D., Cai, X., Wang, X., & Hu, R. (2020). Perceptual Localization of Virtual Sound Source Based on Loudspeaker Triplet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11962 LNCS, pp. 189–200). Springer. https://doi.org/10.1007/978-3-030-37734-2_16

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