Bone Daniel, Lee Chi-Chun, Black Matthew P, Williams Marian E, Lee Sungbok, Levitt Pat, Narayanan Shrikanth
J Speech Lang Hear Res. 2014 Aug;57(4):1162-77. doi: 10.1044/2014_JSLHR-S-13-0062.
The purpose of this study was to examine relationships between prosodic speech cues and autism spectrum disorder (ASD) severity, hypothesizing a mutually interactive relationship between the speech characteristics of the psychologist and the child. The authors objectively quantified acoustic-prosodic cues of the psychologist and of the child with ASD during spontaneous interaction, establishing a methodology for future large-sample analysis.
Speech acoustic-prosodic features were semiautomatically derived from segments of semistructured interviews (Autism Diagnostic Observation Schedule, ADOS; Lord, Rutter, DiLavore, & Risi, 1999; Lord et al., 2012) with 28 children who had previously been diagnosed with ASD. Prosody was quantified in terms of intonation, volume, rate, and voice quality. Research hypotheses were tested via correlation as well as hierarchical and predictive regression between ADOS severity and prosodic cues.
Automatically extracted speech features demonstrated prosodic characteristics of dyadic interactions. As rated ASD severity increased, both the psychologist and the child demonstrated effects for turn-end pitch slope, and both spoke with atypical voice quality. The psychologist's acoustic cues predicted the child's symptom severity better than did the child's acoustic cues.
The psychologist, acting as evaluator and interlocutor, was shown to adjust his or her behavior in predictable ways based on the child's social-communicative impairments. The results support future study of speech prosody of both interaction partners during spontaneous conversation, while using automatic computational methods that allow for scalable analysis on much larger corpora.
本研究旨在探讨韵律性言语线索与自闭症谱系障碍(ASD)严重程度之间的关系,假设心理学家与儿童的言语特征之间存在相互作用的关系。作者客观地量化了心理学家和患有ASD的儿童在自发互动过程中的声学韵律线索,建立了一种用于未来大样本分析的方法。
语音声学韵律特征是从对28名先前被诊断患有ASD的儿童进行的半结构化访谈(自闭症诊断观察量表,ADOS;Lord、Rutter、DiLavore和Risi,1999年;Lord等人,2012年)片段中半自动提取的。韵律从语调、音量、语速和语音质量方面进行量化。通过相关性以及ADOS严重程度与韵律线索之间的层次回归和预测回归来检验研究假设。
自动提取的语音特征显示了二元互动的韵律特征。随着评定的ASD严重程度增加,心理学家和儿童在话轮结束时的音高斜率均表现出相应变化,且二者的语音质量均不典型。心理学家的声学线索比儿童的声学线索能更好地预测儿童的症状严重程度。
作为评估者和对话者的心理学家被证明会根据儿童的社会沟通障碍以可预测的方式调整自己的行为。研究结果支持未来在自发对话中对互动双方的言语韵律进行研究,同时使用能够对更大语料库进行可扩展分析的自动计算方法。