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EVALUATION OF A STOCHASTIC REVERBERATION MODEL BASED ON THE IMAGE SOURCE PRINCIPLE

Achille Aknin 1, 2 Théophile Dupré Roland Badeau 1, 2
2 S2A - Signal, Statistique et Apprentissage
LTCI - Laboratoire Traitement et Communication de l'Information
Abstract : 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).
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https://hal.telecom-paris.fr/hal-02932485
Contributor : Roland Badeau <>
Submitted on : Monday, September 7, 2020 - 7:00:37 PM
Last modification on : Friday, September 11, 2020 - 3:40:41 AM

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Achille Aknin, Théophile Dupré, Roland Badeau. EVALUATION OF A STOCHASTIC REVERBERATION MODEL BASED ON THE IMAGE SOURCE PRINCIPLE. International Conference on Digital Audio Effects, Sep 2020, Vienne, Austria. ⟨hal-02932485⟩

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