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Multi-channel linear prediction (MCLP) has been shown to be a suitable framework for tackling the problem of blind speech dereverberation. In recent years, a number of adaptive MCLP algorithms have been proposed, whereby the majority operates in the short-time Fourier transform (STFT) domain. In this paper, we focus on the STFT-based Kalman filter solution to the adaptive MCLP task. Similarly to all...
Nonnegative matrix factorization (NMF) has been actively investigated and used in a wide range of problems in the past decade. A significant amount of attention has been given to develop NMF algorithms that are suitable to model time series with strong temporal dependencies. In this paper, we propose a novel state-space approach to perform dynamic NMF (D-NMF). In the proposed probabilistic framework,...
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