Quasi-clean Speech Construction Based Speech Quality Evaluation under Complex Environments

Objective evaluation of speech quality for complex environments is a main part of the quality of communications service. Usually, intrusive approaches outperform non-intrusive approaches because reference is used in the intrusive ones. This paper presented a new non-intrusive evaluation method for complex environments in which an improved noise tracking and subtraction algorithm is used to obtain the quasi-clean speech from the noisy speech. The quasi-clean speech is regarded as the reference speech to a perceptual model, which is a modified version of ITU-T PESQ. The perceptual model acquires the Mean Opinion Score (MOS) via the measurement of the distortions between the noisy speech and quasi clean speech. Experimental results demonstrate that the presented method got a correlation coefficient of 0.92 on NOIZEUS noisy dataset, which is 99% similar to that of PESQ, and 6.4% superior to ITU-T P.563.