Enhancing noisy speech signals using orthogonal moments

Wissam A. Jassim, Raveendran Paramesran, Muhammad S.A. Zilany

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

This study describes a new approach to enhance noisy speech signals using the discrete Tchebichef transform (DTT) and the discrete Krawtchouk transform (DKT). The DTT and DKT are based on well-known orthogonal moments: the Tchebichef and Krawtchouk moments, respectively. The representations of speech signals using a limited number of moment coefficients and their behaviour in the domain of orthogonal moments are shown. The method involves removing noise from the signal using a minimum-mean-square error in the domain of the DTT or DKT. According to comparisons with traditional methods, the initial experiments yield promising results and show that orthogonal moments are applicable in the field of speech signal enhancement. The application of orthogonal moments could be extended to speech analysis, compression and recognition.

Original languageEnglish
Pages (from-to)891-905
Number of pages15
JournalIET Signal Processing
Volume8
Issue number8
DOIs
Publication statusPublished - 1 Oct 2014
Externally publishedYes

Fingerprint

Dive into the research topics of 'Enhancing noisy speech signals using orthogonal moments'. Together they form a unique fingerprint.

Cite this