Reproducing the Acoustic Velocity Vectors in a Spherical Listening Region

Autor: Wang, Jiarui, Abhayapala, Thushara, Zhang, Jihui Aimee, Samarasinghe, Prasanga
Rok vydání: 2023
Předmět:
Zdroj: IEEE Signal Processing Letters, vol. 31, pp. 2220-2224, 2024.
Druh dokumentu: Working Paper
DOI: 10.1109/LSP.2024.3449235
Popis: Acoustic velocity vectors (AVVs) are related to the human's perception of sound at low frequencies and are widely used in Ambisonics. This paper proposes a spatial sound field reproduction algorithm called velocity matching, which reproduces the AVVs in the spherical listening region by matching the AVVs' spherical harmonic coefficients. Using the sound field translation formula, the spherical harmonic coefficients of the AVVs are derived from the spherical harmonic coefficients of the pressure, which can be measured by a higher-order microphone array. Unlike algorithms that only control the AVVs at discrete sweet spots, the proposed velocity matching algorithm manipulates the AVVs in the whole spherical listening region and allows the listener to move beyond the sweet spots. Simulations show the proposed velocity matching algorithm accurately reproduces the AVVs in the spherical listening region and requires fewer number of loudspeakers than pressure matching algorithm.
Comment: Accepted for publication in IEEE Signal Processing Letters
Databáze: arXiv