the speech enhancement techniques are often employed to improve the quality and intelligibility of the noisy speech signals. this paper discusses a novel technique for speech enhancement which is based on singular value decomposition. this implementation utilizes a genetic algorithm based optimization method for reducing the effects of environmental noises from the singular vectors as well as t...

1932 All Rights Reserved © 2016 IJARECE  Abstract— In speech communication system, background noise degrades the information or speech signal. For minimizing the effect of background noise different speech enhancement techniques are used. Some speech enhancement techniques are Spectral Subtraction, Wiener Filtering, Two Step Decision Directed Approach, Perceptual Decision Directed Approach. Th...

A method of single channel speech enhancement is proposed by de-noising using stationary wavelet transform. The approach developed herein processes multi-resolution wavelet coefficients individually and then recovery signal is reconstructed. The time invariant characteristics of stationary wavelet transform is particularly useful in speech de-noising. Experimental results show that the proposed...

This paper presents a real time low-complexity implementation of a noise reduction method for speech communication where the input signal is divided into a number of subbands that are individually weighted in time domain according to the short time Signal-toNoise Ratio estimate (SNR) in each subband at every time instant. Instead of focusing on suppression the noise, the method is focusing on s...

For a hidden Markov model (HMM) based speech recognition system it is desirable to combine enhancement of the acoustical signal and statistical representation of model parameters , ensuring both a high quality speech signal and an appropriately trained HMM. In this paper the incre-mental variant of maximum a posteriori (MAP) estimation is used to adjust the parameters of a talker-independent HM...

In this paper, we propose a new adaptive wavelet thresholding method for using in speech Enhancement. This modified version of the wavelet thresholding method updates an adaptive threshold in each frame. In the proposed method the selection of the wavelet threshold value depends on the estimates of the clean speech signal features. The evaluation results show that by using the specific features...

Speech enhancement is a long standing problem with various applications like hearing aids, automatic recognition and coding of speech signals. Single channel speech enhancement technique is used for enhancement of the speech degraded by additive background noises. The background noise can have an adverse impact on our ability to converse without hindrance or smoothly in very noisy environments,...

Unwanted noises have a negative influence over communication because it disturbs the conversation and make the communication impossible. Speech enhancement algorithms are used for improving the quality and intelligibility or to reduce listener fatigues. Assessment of speech quality can be done by using either subjective listening test or objective quality measure. Evaluation of several objectiv...

This work presents an approach to speech enhancement that operates using a speech production model to reconstruct a clean speech signal from a set of speech parameters that are estimated from the noisy speech. The motivation is to remove the distortion and residual and musical noises that are associated with conventional filtering-based methods of speech enhancement. The STRAIGHT vocoder forms ...