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Predicting the intelligibility of reverberant speech for cochlear implant listeners with a non-intrusive intelligibility measure

机译:通过非侵入性可懂度预测来预测人工耳蜗听众的混响语音的可懂度

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摘要

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 (r- 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.
机译:已知混响可减少信号中存在的时间包络调制并影响调制频谱的形状。提出了一种针对混响语音的非侵入式清晰度措施,其原因是调制频谱的面积随混响的增加而减小。所建议的措施基于跨信号带宽的四个声频带上计算出的平均调制区域。人工耳蜗植入听众获得的句子清晰度分数与相关性较高(r = 0.98)。提议的措施胜过其他措施,包括基于侵入性语音传输指数的措施。

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