A modified autocorrelation method of linear prediction is proposed for pitch-synchronous analysis of voiced speech. The method needs one full period of speech data for analysis and assumes periodic extension of the data. This method guarantees the stability of the estimated all-pole filter and is shown to perform better than the covariance and autocorrelation methods of linear prediction
The article presents a robust representation of speech based on AR modeling of the causal part of th...
This paper presents a system for pitch modification of voice signals. In the proposed structure, a r...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...
Technical reportAbstract: This paper describes a priori digital speech analysis. This method takes ...
This paper presents an improved autocorrelation based algorithm for pitch estimation of noisy speech...
Linear prediction (LP) provides a robust, reliable and accurate method for estimating the param...
A frequency domain technique is presented to be used in speech coding to improve the performance of ...
The autocorrelation and covariance methods of linear prediction axe formulated in terms of an invers...
This article describes the pitch extraction method developed during the implementation of the progra...
Text includes handwritten formulasSeveral of the main digital communication systems in use today are...
The autocorrelation and covariance methods of linear prediction are formulated in terms of an invers...
In this paper, a new M-estimation technique for the linear prediction analysis of speech is proposed...
A novel cepstral function, the cepstrum (CEP) of the one-sided autocorrelation sequence (COSA), is p...
In this paper, an efficient algorithm for pitch determination of speech signals is presented. Pitch ...
The Linear Prediction Analysis is one of the popular methods of processing speech. But it has proble...
The article presents a robust representation of speech based on AR modeling of the causal part of th...
This paper presents a system for pitch modification of voice signals. In the proposed structure, a r...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...
Technical reportAbstract: This paper describes a priori digital speech analysis. This method takes ...
This paper presents an improved autocorrelation based algorithm for pitch estimation of noisy speech...
Linear prediction (LP) provides a robust, reliable and accurate method for estimating the param...
A frequency domain technique is presented to be used in speech coding to improve the performance of ...
The autocorrelation and covariance methods of linear prediction axe formulated in terms of an invers...
This article describes the pitch extraction method developed during the implementation of the progra...
Text includes handwritten formulasSeveral of the main digital communication systems in use today are...
The autocorrelation and covariance methods of linear prediction are formulated in terms of an invers...
In this paper, a new M-estimation technique for the linear prediction analysis of speech is proposed...
A novel cepstral function, the cepstrum (CEP) of the one-sided autocorrelation sequence (COSA), is p...
In this paper, an efficient algorithm for pitch determination of speech signals is presented. Pitch ...
The Linear Prediction Analysis is one of the popular methods of processing speech. But it has proble...
The article presents a robust representation of speech based on AR modeling of the causal part of th...
This paper presents a system for pitch modification of voice signals. In the proposed structure, a r...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...