A Phonetic Level Analysis of Dysarthria in Kannada Language

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Abstract

Dysarthria is a motor speech disorder and the most common neurodegenerative disease characterized by low volume in precise articulation, poor coordination of respiratory and phonatory subsystems, irregular pauses and so on. The challenging factor in improving the communication with dysarthria is speech intelligibility. The intelligilibility of speech can be determined by measuring the acoustic characteristics and phonetic structures of speech. In our analysis, we have concentrated on bisyllabic words in the Kannada language. The analysis is carried out with respect to basic acoustic parameters and spectrogram to extract fundamental frequency, formant frequency, jitter, shimmer, HNR and Standard Deviation using PRAAT tool. These results are helpful to identify and differentiate the complex natural frequency of the vocal tract functions with respect to normal subjects and dysarthria subjects. This study provides inputs to increase efficacy in the clinical assessments for monitoring and diagnosing the speech disorders for improving communication among human beings.
卡纳达语构音障碍的语音层次分析
构音障碍是一种运动语言障碍,是最常见的神经退行性疾病,其特征是精确发音音量低,呼吸和发音子系统协调不良,不规则停顿等。改善构音障碍患者沟通的挑战因素是言语清晰度。语音的可理解性可以通过测量语音的声学特征和语音结构来确定。在我们的分析中,我们集中在卡纳达语的双音词。利用PRAAT工具对基本声学参数和谱图进行分析,提取基频、形成峰频率、抖动、闪烁、HNR和标准差。这些结果有助于识别和区分正常受试者和构音障碍受试者的声道功能的复杂固有频率。本研究为提高言语障碍的临床监测和诊断的有效性提供了依据,以改善人与人之间的交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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