Predicting speech intelligibility with a multiple speech subsystems approach in children with cerebral palsy.
Predicting speech intelligibility with a multiple speech subsystems approach in children with cerebral palsy.
复制标题
使用多个语音子系统方法预测脑瘫儿童的言语清晰度。
DOI:
10.1044/2014_jslhr-s-13-0292
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发表时间:
2014
期刊:
影响因子:
--
通讯作者:
Weismer,Gary
中科院分区:
文献类型:
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作者:
Lee,Jimin;Hustad,KatherineC;Weismer,Gary
PurposeSpeech acoustic characteristics of children with cerebral palsy (CP) were examined with a multiple speech subsystems approach; speech intelligibility was evaluated using a prediction model in which acoustic measures were selected to represent three speech subsystems.MethodNine acoustic variables reflecting different subsystems, and speech intelligibility, were measured in 22 children with CP. These children included 13 with a clinical diagnosis of dysarthria (speech motor impairment [SMI] group) and 9 judged to be free of dysarthria (no SMI [NSMI] group). Data from children with CP were compared to data from age-matched typically developing children.ResultsMultiple acoustic variables reflecting the articulatory subsystem were different in the SMI group, compared to the NSMI and typically developing groups. A significant speech intelligibility prediction model was obtained with all variables entered into the model (adjustedR2= .801). The articulatory subsystem showed the most substantial independent contribution (58%) to speech intelligibility. IncrementalR2analyses revealed that any single variable explained less than 9% of speech intelligibility variability.ConclusionsChildren in the SMI group had articulatory subsystem problems as indexed by acoustic measures. As in the adult literature, the articulatory subsystem makes the primary contribution to speech intelligibility variance in dysarthria, with minimal or no contribution from other systems.