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Correlations between Sportsmen’s Morpho-Functional Measurements and Voice Acoustic Variables

机译：运动员的形态功能测量值与语音声学变量之间的相关性

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Purpose. Since human voice characteristics are specific to each individual, numerous anthropological studies have been oriented to find significant relationships between voice and morpho-functional features. The goal of this study was to identify the correlation between seven morpho-functional variables and six voice acoustic parameters in sportsmen. Methods. Following the protocols of the International Biological Program, seven morpho-functional variables and six voice acoustic parameters have been measured in 88 male professional athletes from Kosovo, aged 17-35 years, during the period of April-October 2013. The statistical analysis was accomplished through the SPSS program, version 20. The obtained data were analysed through descriptive parameters and with Spearman’s method of correlation analysis. Results. Spearman’s method of correlation showed significant negative correlations (R = -0.215 to -0.613; p = 0.05) between three voice acoustic variables of the fundamental frequency of the voice sample (Mean, Minimum, and Maximum Pitch) and six morpho-functional measures (Body Height, Body Weight, Margaria-Kalamen Power Test, Sargent Jump Test, Pull-up Test, and VO2max.abs). Conclusions. The significant correlations imply that the people with higher stature have longer vocal cords and a lower voice. These results encourage investigations on predicting sportsmen’s functional abilities on the basis of their voice acoustic parameters.
机译：目的。由于人的声音特征是每个人的特定特征，因此已经进行了许多人类学研究，以发现声音与形态功能特征之间的重要关系。这项研究的目的是确定运动员中七个形态功能变量和六个语音声学参数之间的相关性。方法。根据国际生物学计划的协议，在2013年4月至10月期间，对88名17-35岁的科索沃男性职业运动员进行了七个形态功能变量和六个语音声学参数的测量。完成了统计分析通过SPSS程序（版本20）进行分析。通过描述性参数和Spearman相关分析方法对获得的数据进行分析。结果。 Spearman的相关方法显示语音样本基频的三个语音声学变量（平均音高，最小音高和最大音高）与六个形态功能测度（R = -0.215至-0.613; p = 0.05）之间存在显着的负相关（R = -0.215至-0.613; p = 0.05）。身高，体重，Margaria-Kalamen力量测试，Sargent跳跃测试，上拉测试和VO 2max .abs）。结论。显着的相关性意味着身材较高的人声带较长，声音较低。这些结果鼓励人们进行研究，以根据运动员的声音声学参数预测其功能。

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