@inproceedings{5db3facda87f495eb3e6de8e0f8762fa,
title = "PSD estimation of multiple sound sources in a reverberant room using a spherical microphone array",
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.",
keywords = "Power spectral density, reverberation, source separation, spherical harmonics, spherical microphone array",
author = "Abdullah Fahim and Samarasinghe, \{Prasanga N.\} and Abhayapala, \{Thushara D.\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 ; Conference date: 15-10-2017 Through 18-10-2017",
year = "2017",
month = dec,
day = "7",
doi = "10.1109/WASPAA.2017.8169998",
language = "English",
series = "IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "76--80",
booktitle = "2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017",
address = "United States",
}