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Statistical Analysis of Acoustical Parameters in the Voice of Children with Juvenile Dysphonia

机译:少年听音障碍者声音中声学参数的统计分析

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The goal of this research is to answer the question: is it necessary to build a completely different system in order to automatically recognize functional dysphonia (FD) in children's cases or is it possible to train the system with healthy and pathological voices of adults? For this reason preliminary statistical analyses were carried out between healthy and functional dysphonia voices of children and healthy children voices with healthy adults'. The statistical analyses draw the conclusion that variations of Jitter and Shimmer values with Harmonics-to-Noise Ratio (HNR) and the first component of the mel-frequency cepstral coefficients (MFCC1) are good indicators to separate Healthy and FD voices in case of children as well. Healthy samples of children and adult voices were compared giving the clear conclusion that differences exist in the examined acoustical parameters even between healthy child and healthy adult groups. It is necessary to carry out the investigations separately on children's voices as well, we cannot use adult voices to make any conclusions to children's voices. Lastly the differences between adult female and male samples were examined. The study results confirmed our assumptions that in order to build an automatic decision making system that recognizes FD it is advisable to build separate systems for adult males, adult females and children.
机译:这项研究的目的是要回答这个问题:是否有必要构建一个完全不同的系统以自动识别儿童情况下的功能性音障碍(FD),或者可以用成年人的健康和病理性声音来训练该系统?因此,对儿童的健康和功能性声音障碍声音与健康的成年人的健康儿童声音之间进行了初步的统计分析。统计分析得出的结论是,抖动和微光值随谐波噪声比(HNR)和mel频率倒谱系数的第一分量(MFCC1)的变化是区分儿童时健康声音和FD声音的良好指标也一样比较了儿童和成人声音的健康样本,得出了明确的结论:即使在健康的儿童和健康的成年人组之间,所检查的声学参数也存在差异。也有必要对儿童的声音进行单独调查,我们不能使用成人的声音对儿童的声音做出任何结论。最后,检查了成年女性和男性样本之间的差异。研究结果证实了我们的假设,即为了构建能够识别FD的自动决策系统,建议为成年男性,成年女性和儿童建立单独的系统。

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