关键词: 语音可懂度, 分段可懂度评估, 相对均方根, 评价模型

Abstract: Speech intelligibility is an important attribute of speech signal. Based on Normalization Covariance Metric（NCM）, the speech signal is segmented with a relative Root Mean Square（RMS） threshold, The segmentation intelligibility evaluation is performed for speech segments above the mean square value and for speech segments below the mean square value. At the same time, this paper presents a new intelligibility evaluation model, which combines the relative contribution of the two speech segments to the intelligibility of speech, and evaluates the intelligibility of speech. The experimental results show that the high-mean speech segment has a higher contribution to the intelligibility than the low-mean square speech segment, and the evaluation results of the two speech segments are re-combined with the new model, and the evaluation effect is improved significantly.

Key words: speech intelligibility, segmentation intelligibility evaluation, relative root mean square, evaluation model