Enhancing noisy speech signals using orthogonal moments. Issue 8 (1st October 2014)

• Record Type: Journal Article
• Authors: Jassim, Wissam A.; Paramesran, Raveendran; Zilany, Muhammad S.A.
• Is Part Of: IET signal processing. Volume 8:Issue 8(2014)
• Page Start: 891
• Page End: 905
• Publication Date: 2014-10-01
• Subjects: speech processing -- discrete transforms -- method of moments -- least mean squares methods; noisy speech signals -- orthogonal moments -- discrete Tchebichef transform -- discrete Krawtchouk transform -- moment coefficients -- minimum‐mean‐square error -- speech signal enhancement; Signal processing -- Periodicals; 621.3822
• DOI: 10.1049/iet-spr.2013.0322
• Languages: English
• ISSNs: 1751-9675

Abstract

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.