@inproceedings{8402a202251b4e05974006e74556e6ce,
title = "A variational em algorithm for the separation of moving sound sources",
abstract = "This paper addresses the problem of separation of moving sound sources. We propose a probabilistic framework based on the complex Gaussian model combined with non-negative matrix factorization. The properties associated with moving sources are modeled using time-varying mixing filters described by a stochastic temporal process. We present a variational expectation-maximization (VEM) algorithm that employs a Kalman smoother to estimate the mixing filters. The sound sources are separated by means of Wiener filters, built from the estimators provided by the proposed VEM algorithm. Preliminary experiments with simulated data show that, while for static sources we obtain results comparable with the baseline method [1], in the case of moving source our method outperforms a piece-wise version of the baseline method.",
keywords = "Audio-source separation, Kalman smoother, moving sources, time-varying mixing filters, variational EM",
author = "DIonyssos Kounades-Bastian and Laurent Girin and Xavier Alameda-Pineda and Sharon Gannot and Radu Horaud",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015 ; Conference date: 18-10-2015 Through 21-10-2015",
year = "2015",
month = nov,
day = "24",
doi = "10.1109/WASPAA.2015.7336936",
language = "الإنجليزيّة",
series = "2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015",
address = "الولايات المتّحدة",
}