TY - GEN
T1 - PSD estimation of multiple sound sources in a reverberant room using a spherical microphone array
AU - Fahim, Abdullah
AU - Samarasinghe, Prasanga N.
AU - Abhayapala, Thushara D.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/7
Y1 - 2017/12/7
N2 - 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.
AB - 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.
KW - Power spectral density
KW - reverberation
KW - source separation
KW - spherical harmonics
KW - spherical microphone array
UR - http://www.scopus.com/inward/record.url?scp=85042369957&partnerID=8YFLogxK
U2 - 10.1109/WASPAA.2017.8169998
DO - 10.1109/WASPAA.2017.8169998
M3 - Conference contribution
T3 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
SP - 76
EP - 80
BT - 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
Y2 - 15 October 2017 through 18 October 2017
ER -