自动扬声器日记化用于自闭症临床试验中的自然对话分析
James O'Sullivan1, Guy Bogaarts1, Philipp Schoenenberger2
1Roche Innovation Center BaselF. Hoffmann-La Roche Ltd., Basel, Switzerland.
Scientific reports
|June 24, 2023
概括
来自自然对话的客观测量可以自动评估自闭症谱系障碍 (ASD) 中的沟通. 谈话中的谈话持续时间显示出对ASD沟通挑战的敏感,客观评估的希望.
科学领域:
- 神经科学是一个神经科学.
- 语音和语言病理学 语言病理学
- 计算语言学 计算语言学
背景情况:
- 社会沟通缺陷是自闭症谱系障碍 (ASD) 的核心症状.
- 目前评估这些赤字的方法耗时且主观.
- 在ASD中,自动语音分析通常需要手动转录,从而限制了效率.
研究的目的:
- 评估在自然对话中使用扬声器日记化算法的可行性,以客观评估ASD通信.
- 确定来自家庭对话的自动化测量是否可以作为治疗效果的敏感指标.
主要方法:
- 应用自动扬声器日记在家庭环境中对自闭症患者及其伴侣的自然对话.
- 计算了参与者每次发言的平均发言时间.
- 与已建立的临床措施相关联的自动语音特征,如Vineland适应性行为量表 (VABS).
主要成果:
- 在每次发言平均时间和VABS表达性沟通得分 (r=0.51,p=7×10−5) 之间发现了显著的相关性.
- 从自然对话中对说话的自动分析是可行的.
- 这种自动化措施表明了客观评估的潜力.
结论:
- 自然对话可以在ASD中产生客观的,自动化的沟通措施.
- 自动化谈话能力测量表明,对ASD中沟通挑战的敏感和频繁评估有希望.
- 这种方法可以加强对ASD新疗法的评估.
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