Abstract / truncated to 115 words (read the full abstract)

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 keywords

DSP 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


Antonello, Niccolò
KU Leuven
Publication Year
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April 3, 2019

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