TY - JOUR
T1 - Enhancing noisy speech signals using orthogonal moments
AU - Jassim, Wissam A.
AU - Paramesran, Raveendran
AU - Zilany, Muhammad S.A.
N1 - Publisher Copyright:
© The Institution of Engineering and Technology 2014.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84909588291&partnerID=8YFLogxK
U2 - 10.1049/iet-spr.2013.0322
DO - 10.1049/iet-spr.2013.0322
M3 - Article
AN - SCOPUS:84909588291
SN - 1751-9675
VL - 8
SP - 891
EP - 905
JO - IET Signal Processing
JF - IET Signal Processing
IS - 8
ER -