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Found 4 papers, 1 papers with code
Kernel Density Estimation-Based Markov Models with Hidden State
We consider Markov models of stochastic processes where the next-step conditional distribution is defined by a kernel density estimator (KDE), similar to Markov forecast densities and certain time-series bootstrap schemes.
Nonnegative HMM for Babble Noise Derived from Speech HMM: Application to Speech Enhancement
Finally, a noise reduction algorithm is proposed using the derived speech and babble models.
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
We propose a novel speech enhancement method that is based on a Bayesian formulation of NMF (BNMF).
Decorrelation of Neutral Vector Variables: Theory and Applications
In this paper, we propose novel strategies for neutral vector variable decorrelation.
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