Institute for Rehabilitation Science and Engineering, Madonna Rehabilitation Hospital, Lincoln, Nebraska 68506, USA.
Augment Altern Commun. 2010 Dec;26(4):267-77. doi: 10.3109/07434618.2010.532508.
This study described preliminary work with the Supplemented Speech Recognition (SSR) system for speakers with dysarthria. SSR incorporated automatic speech recognition optimized for dysarthric speech, alphabet supplementation, and word prediction. Participants included seven individuals with a range of dysarthria severity. Keystroke savings using SSR averaged 68.2% for typical sentences and 67.5% for atypical phrases. This was significantly different to using word prediction alone. The SSR correctly identified an average of 80.7% of target stimulus words for typical sentences and 82.8% for atypical phrases. Statistical significance could not be claimed for the relations between sentence intelligibility and keystroke savings or sentence intelligibility and system performance. The results suggest that individuals with dysarthria using SSR could achieve comparable keystroke savings regardless of speech severity.
本研究介绍了针对构音障碍者的补充语音识别 (SSR) 系统的初步工作。SSR 整合了针对构音障碍语音优化的自动语音识别、字母补充和单词预测功能。参与者包括 7 名不同构音障碍严重程度的个体。使用 SSR 进行的按键节省率在典型句子中平均为 68.2%，在非典型短语中为 67.5%。这与单独使用单词预测有显著差异。SSR 对典型句子中的目标刺激词的正确识别率平均为 80.7%，对非典型短语的正确识别率为 82.8%。无法声称句子可懂度与按键节省率或句子可懂度与系统性能之间存在关系具有统计学意义。结果表明，使用 SSR 的构音障碍者无论言语严重程度如何，都可以实现相当的按键节省。
