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A Variational EM Algorithm for the Separation of Time-Varying Convolutive Audio Mixtures
2016
IEEE/ACM Transactions on Audio Speech and Language Processing
This paper addresses the problem of separating audio sources from time-varying convolutive mixtures. We propose a probabilistic framework based on the local complex-Gaussian model combined with non-negative matrix factorization. The time-varying mixing filters are modeled by a continuous temporal stochastic process. We present a variational expectation-maximization (VEM) algorithm that employs a Kalman smoother to estimate the time-varying mixing matrix, and that jointly estimate the source
doi:10.1109/taslp.2016.2554286
fatcat:aikgw6nh6ncklmcirc73pq63mu