Contributions of cochlea-scaled entropy and consonant-vowel boundaries to prediction of speech intelligibility in noise
Contributions of cochlea-scaled entropy and consonant-vowel boundaries to prediction of speech intelligibility in noise
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DOI：
10.1121/1.3695401
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发表时间：
2012-05-01
影响因子：
2.4
通讯作者：
Loizou, Philipos C.
中科院分区：
文献类型：
--
作者：
Chen, Fei;Loizou, Philipos C.
最近的证据表明，通过耳蜗尺度熵（CSE）测量的频谱变化比句子中元音或辅音携带的信息更好地预测语音清晰度。受这一发现的启发，本研究调查了包含具有显着频谱变化的片段的清晰度指数是否比包含所有不关注元音/辅音或频谱变化的语音片段的测量更好地预测噪声中的语音清晰度。使用三种句子分割方法研究了两种清晰度测量[归一化协方差测量 (NCM)、基于连贯性的语音清晰度指数 (CSII)] 的预测：相对均方根 (RMS) 水平、CSE 以及传统的阻碍和发音的语音分割。虽然 CSE 方法不区分元音/辅音内发生的频谱变化，但 RMS 级分割方法更强调元音-辅音边界，其中在存在噪声的情况下，频谱变化通常最显着，并且可能是最鲁棒的。当包括含有大量辅音-元音边界的句子片段时，与包括具有最高熵的片段或基于晦涩/发音分类的片段相比，获得了与可懂度得分更高的相关性。这些数据表明，在清晰度测量的背景下，测量捕获的频谱变化类型很重要。 (C) 2012 年美国声学学会。 [http://dx.doi.org/10.1121/1.3695401]
Recent evidence suggests that spectral change, as measured by cochlea-scaled entropy (CSE), predicts speech intelligibility better than the information carried by vowels or consonants in sentences. Motivated by this finding, the present study investigates whether intelligibility indices implemented to include segments marked with significant spectral change better predict speech intelligibility in noise than measures that include all phonetic segments paying no attention to vowels/consonants or spectral change. The prediction of two intelligibility measures [normalized covariance measure (NCM), coherence-based speech intelligibility index (CSII)] is investigated using three sentence-segmentation methods: relative root-mean-square (RMS) levels, CSE, and traditional phonetic segmentation of obstruents and sonorants. While the CSE method makes no distinction between spectral changes occurring within vowels/consonants, the RMS-level segmentation method places more emphasis on the vowel-consonant boundaries wherein the spectral change is often most prominent, and perhaps most robust, in the presence of noise. Higher correlation with intelligibility scores was obtained when including sentence segments containing a large number of consonant-vowel boundaries than when including segments with highest entropy or segments based on obstruent/sonorant classification. These data suggest that in the context of intelligibility measures the type of spectral change captured by the measure is important. (C) 2012 Acoustical Society of America. [http://dx.doi.org/10.1121/1.3695401]