语音特征提取声学分析检测方法研究

N. Yagi, Yutaka Hata, Y. Sakai
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引用次数: 0

摘要

由于语言的结构范围很广,如韵律、发音、发声、呼吸等,因此与失语症和吞咽困难不同,语言障碍没有筛查测试。言语病理中的言语可理解性是由言语听力治疗师(ST)来评估的,但每个人的评估时间长,评估标准不明确。因此,在本研究中,我们提出了一个系统,利用单个音符数据的8个特征,方便地检查发音的正态性。结果表明,该系统能够准确识别语音正常或异常,准确率高达93.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Inspection Methods in Acoustic Analysis Using Pronunciation Feature Extraction
Since the structure of speech is wide-ranging such as prosody, articulation, vocalization, and breathing, there is no screening test for speech disorder unlike the areas of aphasia and dysphagia. Speech intelligibility in speech-language pathology is evaluated by a Speech-Language-Hearing Therapist (ST), however the evaluation time per person is long and the evaluation criteria are ambiguous. So, the evaluation results will differ depending on the ST. Therefore, in this study, we proposed a system to easily inspect the normality of pronunciation by using 8 characteristics of data divided into single notes. As the results, this system enabled to identify whether the pronunciation is normal or abnormal with high accuracy of 93.3 %.
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