2433 All Rights Reserved © 2016 IJARECE  Abstract— Speech plays an important role in any communication system. An unwanted signal, known as noise, is added to speech and degrades the quality of signal. There are many speech enhancement techniques used for noise suppression such as spectral subtraction, wiener filtering, decision directed method etc. In this paper, we study some speech enhancem...

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...

Noise is an unwanted signal. One of the most common type of noise is a background noise which is always present. The paper presents speech enhancement scheme for suppression of background noise. The objective of speech enhancement is to improve the perceptual aspect such as quality and intelligibility of the processed speech. The main objective of this paper is to investigate the use of differe...

The majority of current speech enhancement systems are based on generalized signal-to-noise ratio dependent weighting rules and do not take into account the characteristics of the actual speech sound being processed. The following contribution is concerned with phoneme-specific speech enhancement methods that apply specially tailored signal processing methods. The first signal processing algori...

Spectral mask estimation using bidirectional long short-term memory (BLSTM) neural networks has been widely used in various speech enhancement applications, and it has achieved great success when it is applied to multichannel enhancement techniques with a mask-based beamformer. However, when these masks are used for single channel speech enhancement they severely distort the speech signal and m...

Speech coding techniques commonly used in low bit rate analysis-by-synthesis linear predictive coders (LPAS coders) create a model that emphasizes the important features of a speech signal. The utilization of these coding methods for speech enhancement is shown. Specifically, the speech signal will be modeled as the output of a cascade of an adaptive formant filter and an adaptive pitch filter,...

The speech enhancement is one of the important techniques used to improve the quality of a speech signal i.e. degraded by noise. Speech enhancement using conventional kalman filter require calculating the parameters of AR (auto-regressive) model, and performing a lot of matrix operations, which is non-adaptive. In this paper the proposed method i.e. adaptive kalman filter combined with perceptu...

This paper is aimed at to study LPC for Natural speech with different windowing techniques the effect of window shape on improving the speech quality by reducing the noise with the help of fixed and variable Windows with optimum shape. In the speech process signal corrupted by noise is segmented into frames and each segment is windowed using different Window with variation in the shape paramete...

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...

Empirical mode decomposition (EMD) is a newly developed tool to analyze nonlinear and non-stationary signals. It is used to decompose any signal into a finite number of time varying subband signals termed as intrinsic mode functions (IMFs). Such data adaptive decomposition is recently used in speech enhancement. This study presents the concept of EMD and its application to advanced speech signa...