most citedSupervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization

402 citations · 435 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SD2018

Statistical Speech Model Description with VMF Mixture Model

Zhanyu Ma, Arne Leijon

In this paper, we present the LSF parameters by a unit vector form, which has directional characteristics. The underlying distribution of this unit vector variable is modeled by a…

cs.LG2018

Kernel Density Estimation-Based Markov Models with Hidden State

Gustav Eje Henter, Arne Leijon, W. Bastiaan Kleijn

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…

cs.SD201732 cited

Nonnegative HMM for Babble Noise Derived from Speech HMM: Application to Speech Enhancement

Nasser Mohammadiha, Arne Leijon

Deriving a good model for multitalker babble noise can facilitate different speech processing algorithms, e.g. noise reduction, to reduce the so-called cocktail party difficulty. I…

cs.SD2017402 cited

Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization

Nasser Mohammadiha, Paris Smaragdis, Arne Leijon

Reducing the interference noise in a monaural noisy speech signal has been a challenging task for many years. Compared to traditional unsupervised speech enhancement methods, e.g.,…

cs.CV20171 cited

Decorrelation of Neutral Vector Variables: Theory and Applications

Zhanyu Ma, Jing-Hao Xue, Arne Leijon +3

In this paper, we propose novel strategies for neutral vector variable decorrelation. Two fundamental invertible transformations, namely serial nonlinear transformation and paralle…