A Bayesian Estimator for Non-intrusive Speech Quality Evaluation in Psychoacoustic Domain
Chen Guo, Vijay Parsa · 2006
A Bayesian estimator for non-intrusive speech quality evaluation is presented. In this novel speech quality estimator, the Gaussian mixture density hidden Markov models were used for characterizing different speech quality categories and the speech quality estimation was performed by using the Bayesian inference and minimum mean-squared error estimation. The performance of the proposed estimator was demonstrated by experimental evaluations in comparison with the standard ITU-T P.563 using speech coded databases