Room modes can significantly impair the quality of sound diffusion, in particular at low-frequencies and in small auditoria. In practice, it is of paramount importance for ones to observe and assess the sound field of a room in order to provide corrective solutions. Traditionally, this is done either by pure simulation or by measuring the sound pressure in the room at multiple points. The latter generally would require an impractically high number of microphones in order to provide an accurate depiction of the sound field. Recent research have shown that using a combination of low-rank approximation and optimization techniques, ones can reduce significantly the number of measurement points without damaging the accuracy of the reconstruction.
In this project, we will exploit these series of techniques even further in order to reduce the number of measurement points as well as to simplify the measuring and preparation process.
Prerequisite: Electroacoustics / Audio Engineering lectures; Signal processing ; Low -rank approximation; Compressive sensing
Context: Theory (40%), Numerical Simulation & Algorithm (40%), Experimental work (20%)