INTELLIGIBILITY ASSESSMENT IN DYSARTHRIA

这项研究的目标是开发改进的评估方案 这为言语障碍提供了定量和分析的评估 在患有神经障碍的儿童和成人中使用。言语障碍 (构音障碍)将在肌萎缩侧索硬化症患者中进行研究 硬化症，帕金森氏病，中风，小脑变性，脑 麻痹和发育性语言障碍。改进的语音评估 可理解性是这项工作的一个特别焦点，但语音问题 和语音质量也进行了讨论。要使用的方法是 结合标准的临床评估(如评价表)， 清晰度评估和基于计算机的声学分析。 具体地说，这些方法包括：通过以下方式对语音进行感知评级 经验丰富的临床医生，可理解性的定量评估， 多参数声学分析、计算机语音校正 通过声信号的LPC重新合成而产生的异常，以及 从声学参数推导声道形状。通力合作 这些领域将基于从一个大的语音样本 患有构音障碍的个体数量。这项研究的一项成果将 是一个包含可理解性分数的临床档案资料库， 语音特征分析、语音/声音质量评级、声学 测量和神经学诊断。我们会特别注意 被试年龄、性别对人格特征的影响 在特定的神经学诊断中出现构音障碍。评估方案 将在微型计算机上实施，并被设计为结合在 临床实践。这项研究也将为该领域的发展做出贡献。 构音障碍分级和分类专家系统。

The goal of this research is to develop improved assessment protocols that afford a quantitative and analytic evaluation of speech impairment in children and adults with neurological disorders. Speech impairments (dysarthrias) will be studied in persons with amyotrophic lateral sclerosis, Parkinson's disease, stroke, cerebellar degeneration, cerebral palsy, and developmental speech disorders. Improved evaluation of speech intelligibility is a particular focus of this work, but issues of speech and voice quality also are addressed. The methods to be used are a combination of standard clinical assessments (such as rating scales), intelligibility evaluations, and computer-based acoustic analyses. Specifically, the methods include: perceptual ratings of speech by experienced clinicians, quantitative assessment of intelligibility, a multiple-parameter acoustic analysis, computer correction of speech abnormalities through LPC resynthesis of the acoustic signal, and derivation of vocal tract shape from acoustic parameters. Work in all these areas will be based on recordings of speech samples from a large number of individuals with dysarthria. One product of the research will be a library of clinical profiles including intelligibility scores, phonetic feature analyses, ratings of speech/voice quality, acoustic measures, and neurological diagnosis. Particular attention will be given to the influences of subject age and sex on the characteristics of dysarthria for a given neurological diagnosis. The assessment protocols will be implemented on microcomputers and designed to be incorporated in clinical practice. The research also will contribute to the development of expert systems for the rating and classification of dysarthria.