关键词: 面罩语音, 维纳滤波, 改进巴克谱失真（MBSD）, 语音感知质量评价（PESQ）

Abstract: The performance of speech quality evaluation for speech coding has been very clear, but it may not be applied to face mask speech. The suitability of speech quality evaluation measures under various noise environments in the application of air speech and face mask speech is discussed. Mean opinion score and three kinds of objective speech quality evaluation measures are taken to evaluate noisy speech and enhanced speech with various signal-to-noise, which include segmental signal-to-noise ratio, modified bark spectral distortion and perceptual evaluation of speech quality, and the suitability is judged by the accordance with subjective evaluation. Wiener filtering and LSA-MMSE algorithms are taken to enhance the noisy speech. Pink noise and wave noise are used. The simulation results show that the suitability of speech quality evaluation algorithms is limited to the kind of speech, SNR of noisy speech, background noise environment and the kind of speech enhancement algorithm. With regard to pink noise, PESQ is not suitable for evaluating air speech enhanced by wiener filtering, and MBSD is only suitable for evaluating face mask speech enhanced by LSA-MMSE. Under the environment of wave noise, PESQ can evaluate face mask speech, and MBSD is not suitable for evaluating face mask speech.

Key words: face mask speech, Wiener filtering, Modified Bark Spectral Distortion（MBSD）, Perceptual Evaluation of Speech Quality（PESQ）