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...

Most noisy speech enhancement methods result in partial suppression and distortion of speech spectrum. At instances when the local signal-to-noise ratio at a frequency band is very low speech partials are often obliterated. In this paper a method for enhancement and restoration of noisy speech based on a harmonic-noise model (HNM) is introduced. A HNM imposes a temporal-spectral structure that ...

Conventional speech enhancement methods typically utilize the noisy phase spectrum for signal reconstruction. This letter presents a novel method to estimate the clean speech phase spectrum, given the noisy speech observation in single-channel speech enhancement. The proposed method relies on the phase decomposition of the instantaneous noisy phase spectrum followed by temporal smoothing in ord...

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...

Many short-time Fourier transform (STFT) based singlechannel speech enhancement algorithms are focused on estimating clean speech spectral amplitude from the noisy observed signal in order to suppress the additive noise. To this end, the state-of-the-art speech enhancement algorithms, employ noisy amplitude information and correspondingly a priori and a posteriori SNRs while they use no informa...

Quality assessment of speech enhancement systems is a nontrivial task, especially when (residual) noise and echo signal components occur. We present a signal separation scheme that allows for a detailed analysis of unknown speech enhancement systems in a black box test scenario. Our approach separates the speech, (residual) noise, and (residual) echo component of the speech enhancement system i...

We previously presented a single-channel speech enhancement technique called the Modified Phase Opponency (MPO) model. The MPO model is based on a neural model called the Phase Opponency (PO) model. The efficacy of the MPO model was demonstrated on speech signals corrupted by additive white noise. In the present work, we extend the MPO model to perform efficiently on speech signals corrupted by...

Abstract -The paper presents a new speech enhancement approach for a single channel speech enhancement in a noise environment. In this method speech is mixed with real-world noises from babble, car and street environments. In this paper we proposed modified Kalman method for effective speech enhancement. The proposed method is compared to the traditional Spectral Subtraction (SS), Wiener Filter...

Most noisy speech enhancement methods result in partial suppression and distortion of speech spectrum. At instances when the local signal-to-noise ratio at a frequency band is very low speech partials are often obliterated. In this paper a method for enhancement and restoration of noisy speech based on a harmonic-noise model (HNM) is introduced. A HNM imposes a temporal-spectral structure that ...

Speech enhancement is the process of eliminating noise and increasing the quality of a speech signal, which is contaminated with other kinds of distortions. This paper is on developing an optimum cascaded system for speech enhancement. This aim is attained without diminishing any relevant speech information and without much computational and time complexity. LMS algorithm, Spectral Subtraction ...