Abstract
In an effort to understand the response of a room more completely, spherical microphone arrays have been used to produce a three-dimensional map of a room impulse response. To locate reflections from various room surfaces, the most common approach is to search for peaks in the beamformed response. Particularly when using this approach with a low-order array there is no way to distinguish a side-lobe from an additional arrival. Furthermore, overlapping arrivals skew the maxima of beampatterns, resulting in incorrect inferences. This talk seeks to demonstrate that a Bayesian, model-based analysis of the data addresses the complete problem of image source estimation, with mechanisms to determine the number and locations of simultaneous arrivals. Particularly with low-order arrays, substantially more accurate estimates can be made, which both increases the overall quality of the analysis and extends the portion of the impulse response that may be reliably analyzed.
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