Dysarthria is a condition which hampers the ability of an individual to control the muscles that play a major role in speech delivery. The loss of fine control over muscles that assist the movement of lips, vocal chords, tongue and diaphragm results in abnormal speech delivery. One can assess the severity level of dysarthria by analyzing the intelligibility of speech spoken by an individual. Continuous intelligibility assessment helps speech language pathologists not only study the impact of medication but also allows them to plan personalized therapy. It helps the clinicians immensely if the intelligibility assessment system is reliable, automatic, simple for (a) patients to undergo and (b) clinicians to interpret. Lack of availability of dysarthric data has resulted in development of speaker dependentautomatic intelligibility assessment systems which requires patients to speak a large number of utterances. In this paper, we propose (a) a cost minimization procedure to select an optimal (small) number of utterances that need to be spoken by the dysarthric patient, (b) four different speaker independent intelligibility assessment systems which require the patient to speak a small number of words, and (c) the assessment score is close to the perceptual score that the Speech Language Pathologist (SLP) can relate to. The need for small number of utterances to be spoken by the patient and the score being relatable to the SLP benefits both the dysarthric patient and the clinician from usability perspective.

构音障碍是妨碍个人控制在语音传递中起主要作用的肌肉的能力的病症。失去对有助于嘴唇，声带，舌头和diaphragm肌运动的肌肉的精细控制会导致异常的语音传递。可以通过分析个人讲话的清晰度来评估构音障碍的严重程度。持续的清晰度评估可帮助言语病理学家不仅研究药物的影响，还使他们能够计划个性化的治疗。如果清晰度评估系统可靠，自动且易于（a）患者接受和（b）临床医生解释，那么它将极大地帮助临床医生。构造异常数据的缺乏导致说话者依赖性的发展自动清晰度评估系统，要求患者说出大量话语。在本文中，我们提出（a）一种成本最小化的程序，以选择需要困难的说话者的最佳（少量）话语数量;（b）四种不同的独立于说话者的清晰度评估系统，要求患者说出以下内容：单词数量少，并且（c）评估分数接近语音语言病理学家（SLP）可以涉及的感知分数。从可用性的角度来看，患者需要说出少量话语并且分数与SLP相关，这对构音障碍患者和临床医生都有利。