Solving inverse problems in room acoustics using physical models, sparse regularization and numerical optimization (2018)
Abstract / truncated to 115 words
Reverberation consists of a complex acoustic phenomenon that occurs inside rooms. Many audio signal processing methods, addressing source localization, signal enhancement and other tasks, often assume absence of reverberation. Consequently, reverberant environments are considered challenging as state-ofthe-art methods can perform poorly. The acoustics of a room can be described using a variety of mathematical models, among which, physical models are the most complete and accurate. The use of physical models in audio signal processing methods is often non-trivial since it can lead to ill-posed inverse problems. These inverse problems require proper regularization to achieve meaningful results and involve the solution of computationally intensive large-scale optimization problems. Recently, however, sparse regularization has been applied successfully to ... toggle 15 keywordsDSP – numalg – sysid – algorithmic engineering – numerical algorithms – numerical software – (nonlinear) optimization – parameter estimation – acoustic echo cancelation – acoustic reflections – DOA – equalization – signal enhancement – parametric optimization – physical modeling
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