2009Unpublished venueRequires access

PLP Based CELP Speech Coder

Jafar Najafi, Hossein Marvi

Open publisher page 2 citations

Abstract

Perceptual linear prediction (PLP) is widely used in speech recognition systems as a feature extraction method. Also code-exited linear prediction coder (CELP) is one of the well known speech coders which widely used in communication systems. In this paper the application of PLP in speech coding has been discussed. In the first stage the parameters of formant synthesis filter are determined by applying PLP algorithms. Then these parameters are used in coder, code-exited linear prediction coder, to improve the efficiency of this kind of coder. The experiments show promising result in some cases.

About this research paper

What this paper is about

Perceptual linear prediction (PLP) is widely used in speech recognition systems as a feature extraction method. Also code-exited linear prediction coder (CELP) is one of the well known speech coders which widely used in communication systems. In this paper the application of PLP in speech coding has been discussed. In the first stage the parameters of formant synthesis filter are determined by applying PLP algorithms. Then these parameters are used in coder, code-exited linear prediction coder, to improve the efficiency of this kind of coder. The experiments show promising result in some cases.

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Available abstract

Perceptual linear prediction (PLP) is widely used in speech recognition systems as a feature extraction method. Also code-exited linear prediction coder (CELP) is one of the well known speech coders which widely used in communication systems. In this paper the application of PLP in speech coding has been discussed. In the first stage the parameters of formant synthesis filter are determined by applying PLP algorithms. Then these parameters are used in coder, code-exited linear prediction coder, to improve the efficiency of this kind of coder. The experiments show promising result in some cases.

Key concepts: Code-excited linear prediction, Linear predictive coding, Speech recognition, Computer science, Linear prediction, Speech coding, Vector sum excited linear prediction, Formant

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