TY - GEN
T1 - A variational EM algorithm for the separation of moving sound sources
AU - Kounades-Bastian, D.
AU - L. Girin, X
AU - Alameda-Pineda, null
AU - Gannot, S.
AU - Horaud, R. P.
N1 - Place of conference:), New Paltz, USA
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - https://scholar.google.co.il/scholar?q=A+variational+EM+algorithm+for+the+separation+of+moving+sound+sources&btnG=&hl=en&as_sdt=0%2C5
M3 - Conference contribution
BT - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
PB - IEEE
ER -