This paper addresses the study of the speech intelligibility enhancement. The speech model, noise sources, perceptual aspects of speech, and performance evaluation are reviewed. The intelligibility enhancement system based on spectral subtraction technique is investigated. Spectral density estimation device based on the algorithm of smoothed periodograms is analysed. Determination of the silenc...

An important parameter in quality assessment of speech enhancement systems is speech distortion, measured in terms of quality of the speech component. In fact, in the context of noise reduction, the user tends to prefer a certain degree of residual noise over distorted speech with suppressed background noise. The challenge of instrumental speech component quality evaluation lies, among others, ...

In this correspondence we illustrate how the (Auto:I,LSP:T) constrained iterative speech enhancement algorithm can be extended to provide improved performance in colored noise environments. The modiied algorithm, referred to here as Noise Adaptive (Auto:I,LSP:T), operates on subbanded signal components in which the terminating iteration is adjusted based on the a posteriori estimate of the sign...

Usually, hearing impaired people use hearing aids which are implemented with speech enhancement algorithms. Estimation of speech and estimation of nose are the components in single channel speech enhancement system. The main objective of any speech enhancement algorithm is estimation of noise power spectrum for non stationary environment. VAD (Voice Activity Detector) is used to identify speech...

Speech enhancement aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques. Enhancing of speech degraded by noise, or noise reduction, is the most important field of speech enhancement. In this paper a Robust speech enhancement m...

WC present an approach for the enhancement of speech signals corrupted by additive white noise of Gaussian statistics. The speech enhancement problem is treated as a signal estimation problem within a Bayesian framework. The conventional all-pole speech production model is assumed to govern the behaviour of the clean speech signal. The additive noise level and all-pole model gain are automatica...

This paper deals with the problem of speech enhancement when only a corrupted speech signal is available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and represented in the state-space domain. Various approaches based on the Kalman filter are presented in the literature. They usuall...

This paper proposes an improved multi-band spectral subtraction algorithm with the goal of improving the quality of speech signal in various noise environments. In the proposed enhancement algorithm, the whole speech spectrum is divided into different uniformly spaced continuous frequency bands and spectral over-subtraction is performed independently, in each band. The proposed algorithm uses a...

In this paper a method based on the excitation source information is proposed for enhancement of speech, degraded by speech from other speakers. Speech from multiple speakers is simultaneously collected over two spatially distributed microphones. Time-delay of each speaker with respect to the two microphones is estimated using the excitation source information. A weight function is derived for ...