Evaluation of a Stochastic Reverberation Model Based on the Source Image Principle
Various audio signal processing applications, such as source
separation and dereverberation, require an accurate mathematical
modeling of the input audio data. In the literature, many works
have focused on source signal modeling, while the reverberation
model is often kept very simplistic.
This paper aims to investigate a stochastic room impulse response model presented in a previous article: this model is first
adapted to discrete time, then we propose a parametric estimation
algorithm, that we evaluate experimentally. Our results show that
this algorithm is able to efficiently estimate the model parameters,
in various experimental settings (various signal-to-noise ratios and
absorption coefficients of the room walls).