An Objective Measure for Estimating MOS of Synthesized Speech

摘要

This paper proposes an average concatenative cost function as the objective measure for naturalness of synthesized speech. All its seven component-costs can be derived directly from the input text and the scripts of speech database. A formal Mean Opinion Score (MOS) experiment shows mat the average concatenative cost and its seven components are all highly correlated with MOS obtained subjectively. The correlation coefficient between the objective measure and subjective measure is -0.872. The mean of errors in MOS estimation for individual waveforms is 0.32 with 0.40 RMSE. When estimating the overall MOS for ITS systems, the mean error is smaller than 0.05. With the proposed objective measure, it becomes possible and easy for us to track the performance in naturalness regularly. The proposed cost function could also serve as criteria for optimizing the algorithms for unit selecting and speech database pruning.