This letter presents a speech enhancement technique combining statistical models and non-
negative matrix factorization (NMF) with on-line update of speech and noise bases. The …

A speech signal captured by a distant microphone is generally contaminated by background
noise, which severely degrades the audible quality and intelligibility of the observed signal …

The unprecedented growth of noise pollution over the last decades has raised an always
increasing need for developing efficient audio enhancement technologies. Yet, the variety of …

Conventional speech enhancement methods, based on frame, multiframe, or segment
estimation, require knowledge about the noise. This paper presents a new method that aims …

To make the best use of speech recognition, it is imperative that it can recognize not just
speech or speaker, but also the domain of communication. This paper proposes an …

This paper proposes a versatile technique for integrating two conventional speech
enhancement approaches, a spatial clustering approach (SCA) and a factorial model …

For speech enhancement, most existing approaches do not consider the differences,
between various types of noise, which significantly affect the performance of speech …

Noise reduction of audio signals is a key challenge problem in speech enhancement,
speech recognition and speech communication applications, etc. It has attracted a …

Speech recognition systems intended for everyday use must be able to cope with a large
variety of noise types and levels, including highly non-stationary multi-source mixtures. This …

In this paper, we introduce a system for recognizing speech in the presence of multiple
rapidly time-varying noise sources. The main components of the proposed approach are a …