This paper addresses the problem of how to estimate reliable formant frequencies in high-pitched speech (typical in children), and how to normalize these estimations, independent from vocal tract shape or length. The normalized formant frequencies are used to improve the performance of a ComputerAided Speech Therapy Tool (CASTT) in Spanish. For this purpose, a study was conducted to see what is...

A sound recording of a plucked string instrument is encoded and resynthesized using two stages of prediction. In the first stage of prediction, a simple physical model of a plucked string is estimated and the instrument excitation is obtained. The second stage of prediction compensates for the simplicity of the model in the first stage by encoding either the instrument excitation or the model e...

The Line Spectrum Pair (LSP) based on the principle of linear predictive coding (LPC) plays a very important role in the speech synthesis; it has many interesting properties. Several famous speech compression / decompression algorithms, including the famous code excited linear predictive coding (CELP), are based on the LSP analysis, where the information loss or predicting errors are often very...

One of the most powerful speech analysis techniques is the method of linear predictive analysis. This method has become the predominant technique for representing speech for low bit rate transmission or storage. The importance of this method lies both in its ability to provide extremely accurate estimates of the speech parameters and in its relative speed of computation. The basic idea behind l...

The aim of the project is to develop a system for encoding good quality speech at a low bit rate. To implement this we have used most powerful speech analysis technique called Linear Predictive Coding (LPC). It uses 10 order Levinson-Durbin Recursion algorithm to accomplish the task. It provides extremely accurate estimates of speech parameters, and is relatively efficient for computation.The s...

This thesis deals with developing improved techniques for speech coding based on the recent developments in sparse signal representation. In particular, this work is motivated by the need to address some of the limitations of the wellknown linear prediction (LP) model currently applied in many modern speech coders. In the first part of the thesis, we provide an overview of Sparse Linear Predict...

Multipulse excited linear predictive coding (MPELPC) is a good medium bit-rate speech coding technique. However, due to the enormous processing required for searching the pulse information (pulse positions and amplitudes), many practical implementations of multipulse coders actually utilize some simplified pulse search algorithms such as dropping the amplitude optimization during the search for...