Title :
Objective measures for speech quality assessment in wireless communications
Author :
Bayya, Aruna ; Vis, Marvin
Author_Institution :
US West Adv. Technol., Boulder, CO, USA
Abstract :
Automatic assessment of speech quality is one of the most important problems in mobile communication. The primary goal of this article is to find an objective measure that accurately predicts user acceptance of speech signals recorded under varying noise conditions and channel impairments as well as signals subjected to various noise suppression/signal enhancement techniques. We report some preliminary results on correlation studies between several output-based/input-output-based objective measures and subjective scores. We propose to use these results to design a non-linear model for predicting the subjective quality using several simple objective measures
Keywords :
correlation methods; land mobile radio; noise; speech intelligibility; speech processing; automatic assessment; channel impairment; correlation studies; mobile communication; noise conditions; noise suppression; nonlinear model; objective measures; signal enhancement; speech quality assessment; speech signals; subjective quality prediction; subjective scores; user acceptance; wireless communications; Background noise; Distortion measurement; Noise measurement; Quality assessment; Signal design; Speech analysis; Speech codecs; Speech enhancement; Testing; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.541141
