@inproceedings{f132a1476d414fd9898350bfd4ea9262,
title = "A planar microphone array for spatial coherence-based source separation",
abstract = "We proposed a spatial coherence-based PSD estimation and source separation technique in [1] using a 32-channel spherical microphone array. While the proposed spherical microphone-based method exhibited a satisfactory performance in separating multiple sound sources in a reverberant environment, the use of a large number of microphones remains an issue for some practical considerations. In this paper, we investigate an alternative array structure to achieve spatial coherence-based source separation using a planar microphone array. This method is particularly useful in separating a limited number of sound sources in a mixed acoustic scene. The simplified array structure we used here can easily be integrated with many commercial acoustical instruments such as smart home devices to achieve better speech enhancements.",
keywords = "PSD estimation, Planar array, source separation, spherical harmonics",
author = "Abdullah Fahim and Samarasinghe, {Prasanga N.} and Abhayapala, {Thushara D.} and Hanchi Chen",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 20th IEEE International Workshop on Multimedia Signal Processing, MMSP 2018 ; Conference date: 29-08-2018 Through 31-08-2018",
year = "2018",
month = nov,
day = "26",
doi = "10.1109/MMSP.2018.8547121",
language = "English",
series = "2018 IEEE 20th International Workshop on Multimedia Signal Processing, MMSP 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE 20th International Workshop on Multimedia Signal Processing, MMSP 2018",
address = "United States",
}