most citedSupervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization

402 citations · 493 across the 4 of their papers we have counts for

collaborators

5 papers

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.SD201732 cited

Speech Dereverberation Using Nonnegative Convolutive Transfer Function and Spectro temporal Modeling

Nasser Mohammadiha, Simon Doclo

This paper presents two single channel speech dereverberation methods to enhance the quality of speech signals that have been recorded in an enclosed space. For both methods, the r…

cs.LG201727 cited

Road Friction Estimation for Connected Vehicles using Supervised Machine Learning

Ghazaleh Panahandeh, Erik Ek, Nasser Mohammadiha

In this paper, the problem of road friction prediction from a fleet of connected vehicles is investigated. A framework is proposed to predict the road friction level using both his…

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.LG2017

Imitation Learning for Vision-based Lane Keeping Assistance

Christopher Innocenti, Henrik Lindén, Ghazaleh Panahandeh +2

This paper aims to investigate direct imitation learning from human drivers for the task of lane keeping assistance in highway and country roads using grayscale images from a singl…