A central aspect of the invention relates to a method of enhancing speech, the method
comprising the steps of, receiving noisy speech comprising a clean speech component and …

In this paper, we propose a Bayesian minimum mean squared error approach for the joint
estimation of the short-term predictor parameters of speech and noise, from the noisy …

Accurate modeling and estimation of speech and noise gains facilitate good performance of
speech enhancement methods using data-driven prior models. In this paper, we propose a …

Single-channel source separation problems occur when a number of sources emit signals
that are mixed and recorded by a single sensor, and we are interested in estimating the …

In this paper, we present a novel method for estimating short-term linear predictive
parameters of speech and noise in the codebook-driven Wiener filtering speech …

In this study, we describe a mixture model based single-channel speech-music separation
method. Given a catalog of background music material, we propose a generative model for …

In this paper we address the application of single sensor source separation techniques to
mixtures of speech and music. Three strategies for source modeling are presented, namely …

We present a new codebook-based speech enhancement approach which is able to
increase robustness of conventional codebook-based approaches against model mismatch …

We propose a noise estimation algorithm for single-channel noise suppression in dynamic
noisy environments. A stochastic-gain hidden Markov model (SG-HMM) is used to model the …

We present a parametric model-based multichannel approach for speech enhancement. By
employing an autoregressive model for the speech signal and using a trained codebook of …