A NEW APPROACH TO OBJECTIVE QUALITY-MEASURES BASED ON ATTRIBUTE-MATCHING
In this paper the results of a study of objective quality measures for a broad range of coding systems are presented. These objective measures take the linear and the nonlinear distortions of the coder into account. A correlation analysis was performed, in order to find out those measures which are most effective in predicting perceivable parametric attributes of speech quality. The results of this experiment, the so-called attribute-matching, yield a good composite measure for predicting the total quality for a wide range of coding systems and can be computed in pseudo-realtime. Furthermore, we describe the test signal we have used in our study, which was not natural speech but a speech-model process.
objective quality-measures attribute-matching speech quality speech-model process