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Automatic Detection of Pharyngeal Fricatives in Cleft Palate Speech

机译:Detection裂语音中咽摩擦音的自动检测

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Pharyngeal fricatives are produced as substitutes of normal fricatives by speakers with cleft palate. This chapter introduces a method of extracting acoustic features of pharyngeal fricatives by means of one-third octave analysis. The results show that the pharyngeal fricatives have higher amplitude below 4,000 Hz and lower amplitude above 4,000 Hz than the normal fricatives. Amplitudes of eight one-third octave bands are extracted to represent the acoustic features of pharyngeal fricatives. A pattern classifier based on logistic regression is also proposed here and obtains acceptable classification accuracy (90 %) when these acoustic features are used as the input factors. Detection of the pharyngeal fricatives is also automated in combination of such pattern classifier and an automatic selection of consonant component.
机译:带有c裂的说话人会产生咽摩擦音,作为正常摩擦音的替代物。本章介绍了一种通过三分之一八度音阶分析来提取咽摩擦音的声学特征的方法。结果表明,与正常摩擦音相比,咽摩擦音在4,000 Hz以下具有较高的振幅,而在4,000 Hz以上则具有较低的振幅。提取八个八度八度音阶的振幅,以表示咽摩擦音的声学特征。在此还提出了一种基于逻辑回归的模式分类器,当这些声学特征用作输入因子时,可以获得可接受的分类精度(90%)。结合这种模式分类器和自动选择辅音成分,也可以自动进行咽摩擦音的检测。

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