Title :
New distortion measures for speech processing
Author :
Li, Ta-Hsin ; Gibson, Jerry D.
Author_Institution :
Dept. of Stat., Texas A&M Univ., College Station, TX, USA
Abstract :
New distortion measures are derived from a recently proposed characterization function of stationary time series and are shown to be more robust than some commonly-used distortion measures such as the Kullback-Leibler spectral divergence in speech processing
Keywords :
speech processing; time series; Kullback-Leibler spectral divergence; characterization function; distortion measures; speech processing; stationary time series; Density measurement; Distortion measurement; Filtering; Parametric statistics; Robustness; Signal processing; Speech analysis; Speech processing; Statistical analysis; Time measurement;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513919
