@inproceedings{2ff6902ece5c4239b9e9481bc03ecb8b,
title = "Autoregressive moving average modeling of late reverberation in the frequency domain",
abstract = "In this paper, the late part of a room response is modeled in the frequency domain as a complex Gaussian random process. The autocovariance function (ACVF) and power spectral density (PSD) are theoretically defined from the exponential decay of the late reverberation power. Furthermore we show that the ACVF and PSD are accurately parametrized by an autoregressive moving average (ARMA) model. This leads to a new generative model of late reverberation in the frequency domain. The ARMA parameters are easily estimated from the theoretical ACVF. The statistical characterization is consistent with empirical results on simulated and real data. This model could be used to incorporate priors in audio source separation and dereverberation.",
keywords = "Autoregressive moving average model, Gaussian random process, Late reverberation, Statistical room acoustics",
author = "Simon Leglaive and Roland Badeau and G{\"a}el Richard",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th European Signal Processing Conference, EUSIPCO 2016 ; Conference date: 28-08-2016 Through 02-09-2016",
year = "2016",
month = nov,
day = "28",
doi = "10.1109/EUSIPCO.2016.7760494",
language = "English",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
pages = "1478--1482",
booktitle = "2016 24th European Signal Processing Conference, EUSIPCO 2016",
}