Output-based speech quality evaluation by measuring perceptual spectral density distribution

A novel output-based speech quality evaluation algorithm is proposed. It is based on simultaneously characterising the statistical properties of speech spectral density distribution in the temporal and perceptual domains. Results show that the correlations of the proposed algorithm with subjective quality scores attain 0.897 for the training data set and 0.824 for the testing data set, respectively.