The speech enhancement problem comprises of various problems characterized by the type of noise source, the nature of interaction between speech and noise, the number of sensor signals (microphone outputs) available for enhancement and the nature of the speech application. Noise reduction remains a demanding problem due to wide variety of background noise types (car noise, babble noise, cockpit...

| We present an eecient algorithm for the enhancement of speech signals which are heavily corrupted by short-time stationary, acoustically or electrically added disturbances. The algorithm is based on spectral amplitude estimation using an overlap-add FFT lter bank system. Compared to other systems , the improved performance of our speech enhancement system is achieved by the combination of the...

Speech Enhancement can be used as a preprocessing technique in any of the speech communication systems. Speech communication involves a speaker, listener and communication device. The background noise present in the speech signal while transmitting has to be removed from the noisy speech signal to increase the signal intelligibility and to minimize the listener fatigue. The proposed approach is...

In recent years, Automatic Speech Recognition (ASR) systems designed to work in controlled environments using clean speech have reached very high levels of performance. However, the accuracy of speech recognition degrades severely when the systems are operated in noisy environments. In this thesis we address the problem of single-channel speech enhancement. Starting with a study of the state-of...

In this paper, we propose a speech enhancement approach. The approach is based on deriving weighted log-spectral amplitude estimator that exploits the generalized Gamma distributed speech priors under speech presence probability. The log-spectral amplitude estimator is weighted by psychoacoustically motivated speech distortion measure to take advantage of the perceptual interpretation. The expe...

Abstract: This paper presents an approach for speech enhancement based on the Bayesian estimator. The cost function in logarithmic domain of the Bayesian estimator is weighted by psychoacoustically motivated speech distortion measure. This weighted cost function exploits the generalized Gamma distributed speech priors under speech presence probability. The experimental results show that the pro...

Speech enhancement is concerned with the processing of corrupted or noisy speech signal in order to improve the quality or intelligibility of the signal. There are so many applications of speech still to be far from reality just because of lack of efficient and reliable noise removal mechanism and preserving or improving the intelligibility for the speech signals. The aim of the speech enhancem...

In this paper, we propose an algorithm which enhances the speech intelligibility using the properties of human auditory system. In previous algorithms related to the speech intelligibility, the improvement in intelligibility has been mostly incorporated in a single-channel environment where the speech and noise signals are mixed together. But the speech enhancement problem of dual channel, in w...

This work presents a novel approach to speech enhancement by exploiting the bimodality of speech and the correlation that exists between audio and visual speech features. For speech enhancement, a visually-derived Wiener filter is developed. This obtains clean speech statistics from visual features by modelling their joint density and making a maximum a posteriori estimate of clean audio from v...