We report on the development of a system to characterize the geometric and acoustic properties of a space from an acoustic impulse response measured within it. This can be thought of as the inverse problem to the common practice of obtaining impulse responses from either real-world or virtual spaces. Starting from an impulse response recorded in an original scene, the method described here uses a non-linear search strategy to select a scene that is perceptually as close as possible to the original one. Potential applications of this method include audio production, non-intrusive acquisition of room geometry, and audio forensics.
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