PSD estimation of multiple sound sources in a reverberant room using a spherical microphone array
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Fahim, Abdullah
Samarasinghe, Prasanga
Abhayapala, Thushara
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IEEE
Abstract
We propose an efficient method to estimate source power spectral densities (PSDs) in a multi-source reverberant environment using a spherical microphone array. The proposed method utilizes the spatial correlation between the spherical harmonics (SH) coefficients of a sound field to estimate source PSDs. The use of the spatial cross-correlation of the SH coefficients allows us to employ the method in an environment with a higher number of sources compared to conventional methods. Furthermore, the orthogonality property of the SH basis functions saves the effort of designing specific beam patterns of a conventional beamformer-based method. We evaluate the performance of the algorithm with different number of sources in practical reverberant and non-reverberant rooms. We also demonstrate an application of the method by separating source signals using a conventional beamformer and a Wiener post-filter designed from the estimated PSDs.
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IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
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Restricted until
2099-12-31