This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
We propose a new family of Bayesian estimators for speech enhancement where the cost function includes both a power law and a weighting factor. The parameters of the cost function,...
This contribution presents a wideband (50 Hz – 7 kHz) speech enhancement system that is operating in the frequency domain. As a novel feature, techniques known from artificial ...
Thomas Esch, Florian Heese, Bernd Geiser, Peter Va...
Typical speech enhancement methods, based on the short-time Fourier analysis-modification-synthesis (AMS) framework, modify only the magnitude spectrum and keep the phase spectru...
In this paper, we present a robust text-independent speaker recognition system. The proposed system mainly includes an SNR-aware subspace-based enhancement technique and probabili...