Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, Ontario, Canada.
Assist Technol. 2010 Summer;22(2):99-112; quiz 113-4. doi: 10.1080/10400435.2010.483646.
Despite their growing presence in home computer applications and various telephony services, commercial automatic speech recognition technologies are still not easily employed by everyone; especially individuals with speech disorders. In addition, relatively little research has been conducted on automatic speech recognition performance with older adults, in whom speech disorders are commonly present. As one ages, the older adult voice naturally begins to resemble some aspects of mildly dysarthric speech. Dysarthria, a common neuromotor speech disorder, is particularly useful for exploring performance limitations of automatic speech recognizers owing to its wide range of speech expression. This article reviews clinical research literature examining the use of commercial speech-to-text automatic speech recognition technology by individuals with dysarthria. The main factors limiting automatic speech recognition performance with dysarthric speakers are highlighted and extended to the elderly using a specific example of a novel, automated, speech-based personal emergency response system for older adults.
尽管商业自动语音识别技术在家庭计算机应用和各种电话服务中越来越普及，但它们仍然不容易被所有人使用；特别是那些有言语障碍的人。此外，针对老年人的自动语音识别性能的研究相对较少，而老年人中通常存在言语障碍。随着年龄的增长，老年人的声音自然开始类似于轻度构音障碍的某些方面。构音障碍是一种常见的神经运动性言语障碍，由于其广泛的言语表达，对于探索自动语音识别器的性能限制特别有用。本文回顾了检查使用商业语音到文本自动语音识别技术的个体的临床研究文献。 构音障碍者的语音识别性能的主要限制因素被强调，并通过老年人使用新型自动化语音的个人紧急响应系统的具体示例进行扩展。
