A Novel Approach for Intelligibility Assessment in Dysarthric Subjects
A Novel Approach for Intelligibility Assessment in Dysarthric Subjects
复制标题
构音障碍受试者清晰度评估的新方法
DOI：
10.1109/icassp40776.2020.9053339
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Sunil Kumar Kopparapu
中科院分区：
文献类型：
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作者：
Ayush Tripathi;Swapnil Bhosale;Sunil Kumar Kopparapu
构音障碍是由肌肉无力引起的运动性语言障碍。患有这种疾病的人无法控制软腭的快速运动，导致语音交流的可懂度，可听度，自然度和效率降低。可以评估构音障碍言语可懂度的系统可以帮助临床医生诊断治疗和药物的影响。在本文中，我们提出了一个可用的新方法来评估构音障碍的扬声器的可懂度。该方法是基于观察到的语音识别引擎的性能恶化的疾病的严重程度的增加。利用原始单词和识别字符串之间的不匹配来计算构音障碍可懂度分数。在UA语音语料库上的实验表明，计算的可懂度分数与感知评估的可懂度分数具有显著的相关性。我们进一步表明，由构音障碍受试者说的一小部分话足以可靠地评估语音清晰度。
Dysarthria is a motor speech impairment caused by muscle weakness. Individuals, with this condition, are unable to control rapid movement of the velum leading to reduction in intelligibility, audibility, naturalness and efficiency of vocal communication. Systems that can assess intelligibility of dysarthric speech can help clinicians diagnose the impact of therapy and medication. In the paper, we propose a usable novel method to assess intelligibility of dysarthric speakers. The approach is based on the observation that the performance of a speech recognition engine deteriorates with increase in severity of the disorder. The mismatch between the original word and the recognized string is exploited to compute the dysarthria intelligibility score. Experiments on UA speech corpus show that the computed intelligibility score exhibits a significant correlation with perceptually assessed intelligibility scores. We further show that a small set of words spoken by the dysarthric subject is sufficient to assess the speech intelligibility reliably.