使用非侵入性可懂度测量方法预测人工耳蜗植入者在混响环境下言语的可懂度。
Predicting the intelligibility of reverberant speech for cochlear implant listeners with a non-intrusive intelligibility measure.
作者信息
Chen Fei, Hazrati Oldooz, Loizou Philipos C
机构信息
Division of Speech & Hearing Sciences, The University of Hong Kong, Hong Kong, China.
出版信息
Biomed Signal Process Control. 2013 May;8(3):311-314. doi: 10.1016/j.bspc.2012.11.007.
Abstract
Reverberation is known to reduce the temporal envelope modulations present in the signal and affect the shape of the modulation spectrum. A non-intrusive intelligibility measure for reverberant speech is proposed motivated by the fact that the area of the modulation spectrum decreases with increasing reverberation. The proposed measure is based on the average modulation area computed across four acoustic frequency bands spanning the signal bandwidth. High correlations ( = 0.98) were observed with sentence intelligibility scores obtained by cochlear implant listeners. Proposed measure outperformed other measures including an intrusive speech-transmission index based measure.
摘要
众所周知，混响会降低信号中存在的时间包络调制，并影响调制谱的形状。鉴于调制谱的面积会随着混响的增加而减小，提出了一种用于混响语音的非侵入性可懂度测量方法。所提出的测量方法基于在跨越信号带宽的四个声学频段上计算的平均调制面积。观察到与人工耳蜗使用者获得的句子可懂度得分具有高度相关性（= 0.98）。所提出的测量方法优于其他测量方法，包括基于侵入性语音传输指数的测量方法。
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