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首页> 外文期刊>Folia phoniatrica et logopaedica: official organ of the International Association of Logopedics and Phoniatrics (IALP) >Stable Voice Clusters Identified When Using the Maximum versus Minimum Intensity Curve in the Phonetogram
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Stable Voice Clusters Identified When Using the Maximum versus Minimum Intensity Curve in the Phonetogram

机译:在语音图中使用最大强度曲线与最小强度曲线时,确定了稳定的语音群

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Objective: To examine whether the minimum as well as the maximum voice intensity (i.e. sound pressure level, SPL) curves of a voice range profile (VRP) are required when discovering different voice groups based on a clustering analysis. In this approach, no a priori labeling of voice types is used. Patients and Methods: VRPs of 194 (84 male and 110 female) professional singers were registered and processed. Cluster analysis was performed with the use of features related to (1) both the maximum and minimum SPL curves and (2) the maximum SPL curve only. Results: Features related to the maximum as well as the minimum SPL curves showed three clusters in both male and female voices. These clusters, or voice groups, are based on voice types with similar VRP features. However, when using features related only to the maximum SPL curve, the clusters became less obvious. Conclusion: Features related to the maximum and minimum SPL curves of a VRP are both needed in order to identify the three voice clusters. (C) 2016 S. Karger AG, Basel
机译:目的:检查在基于聚类分析发现不同的语音组时,是否需要语音范围轮廓(VRP)的最小和最大语音强度(即声压级,SPL)曲线。在这种方法中,不使用语音类型的先验标记。患者和方法:登记并处理了194名(84位男性和110位女性)专业歌手的VRP。使用与(1)最大和最小SPL曲线以及(2)仅最大SPL曲线相关的特征进行聚类分析。结果:与最大和最小SPL曲线相关的特征在男性和女性声音中均显示出三个簇。这些群集或语音组基于具有类似VRP功能的语音类型。但是,当使用仅与最大SPL曲线有关的特征时,聚类变得不太明显。结论:都需要与VRP的最大和最小SPL曲线相关的功能,才能识别三个语音群集。 (C)2016 S.Karger AG,巴塞尔

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