单词音节持续时间的规范值与解释在一个大样本的脑卒中幸存者与失言症的解释
Katarina L Haley1, Adam Jacks1, Soomin Kim1
1Division of Speech and Hearing Sciences, Department of Allied Health Sciences, The University of North Carolina at Chapel Hill.
研究人员确定了303-316毫秒的单词音节持续时间 (WSD) 截止值,以检测语音失语和语音失语患者的异常语音时间. 自动语音识别 (ASR) 为这种测量提供了一个有希望的,尽管不那么精确的方法.
科学领域:
- 语音语言病理学 语言病理学
- 计算语言学计算语言学
- 神经语言学是一种神经语言学.
背景情况:
- 缓慢的言语速度和异常的时是诊断失语症患者言语失语症的关键指标.
- 建立可靠的客观测量这些形异常对于准确的诊断和治疗规划至关重要.
研究的目的:
- 用单词重复任务来确定异常单词音节持续时间 (WSD) 的特定切断值.
- 将手动WSD测量与通过自动语音识别 (ASR) 获得的测量进行比较.
- 为了评估ASR在临床应用中近似手动WSD测量的实用性.
主要方法:
- 50个神经类型的成年人重复了49个多音节单词.
- 音频录音使用IBM Watson的ASR来处理单词持续时间和转录.
- 进行了手动和自动WSD测量,并将结果与195名慢性失语症患者的数据进行了背景分析.
主要成果:
- 在单词识别 (83%) 和音节计数 (98%) 中,ASR实现了高精度.
- 由于光标位置的变化,自动化WSD测量比手动测量略长.
- 303-316毫秒 (95百分位数) 的WSD切线被确定为异常长时间的迹象,影响了40%-45%的失言症样本.
结论:
- 在识别异常语音定时时刻的手动测量中,建议WSD截止分数为303-316毫秒.
- 需要进行进一步的研究,以完善对失言症患者的自动化WSD方法,并制定标准化的评分.
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