Bayesian framework for direction of arrival analysis using spherical harmonics

Authors
Weikel, Stephen
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Other Contributors
Xiang, Ning
Braasch, Jonas
Perry, Chris (Christopher S.)
Issue Date
2019-08
Keywords
Architectural sciences
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
This work discusses a system of Direction of Arrival (DoA) analysis for an unknown number of sources using spherical beamforming and Bayesian inference with a spherical microphone array. In this system, sound pressure data is collected by the spherical array and processed using beamforming techniques in the spherical harmonic domain. A two-tiered framework of Bayesian inference is then used to evaluate analytic models against the beamformed data in order to determine the number, DoA(s), and strength(s) of the detected sources. Two series of tests are conducted: one sets out to determine the performance of this algorithm when two sources are close together and the other to evaluate its performance in a reverberant environment. Results showed that the performance of the system degrades when sources are closer than 45° to one another and that it fails to distinguish sources at 15°. Additionally, the algorithm failed to identify or locate a single sound source in an environment featuring significant reverberation.
Description
August 2019
School of Architecture
Department
School of Architecture
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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