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首页> 外文期刊>International Journal of Technology Enhanced Learning >Prosodic characterisation of children's Filipino read speech for oral reading fluency assessment
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Prosodic characterisation of children's Filipino read speech for oral reading fluency assessment

机译：儿童菲律宾语阅读语音的韵律特征，用于口语阅读流利度评估

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摘要

This paper explores the extraction and analysis of prosodic features in children's Filipino speech for application in automated oral reading fluency assessment. Automatic syllabication was optimised in the context of children's Filipino read speech. Using the Children Filipino Speech Corpus, prosodic features were automatically extracted which were then classified according to human rater assessment of fluency. Analysis of variance showed that speech and articulation rates, pauses, syllable duration, and pitch can be used to classify children's oral reading fluency in Filipino into three levels, namely, independent, instructional and frustration. Using machine learning classification methods, fivefold cross-validation showed that speech rate, articulation rate and number of pauses can be used to predict oral reading fluency at 92, 85 and 76 accuracy for 2, 3 and 4 levels of fluency classification, respectively. Pitch and syllable duration patterns were also characterised for the assessment of phrasing and expression between fluent and non-fluent readers.
机译：本文探讨了提取和分析韵律特征在孩子的菲律宾演讲应用程序的自动化口语阅读流畅性评估。在儿童的背景下菲律宾读演讲。自动语料库,韵律特征然后根据分类提取出来人类流利的评定等级的评估。差异表明,演讲和清晰度率、停顿、音节持续时间和间距被用来分类儿童朗诵流利菲律宾分为三个水平,即独立的教学和沮丧。机器学习分类方法,五倍交叉验证表明,演讲,关节速度和数量的停顿用来预测口语阅读流畅性为92%,85%和76%精度为2、3和4的流利水平分类,分别。时间模式的特征评估之间的措辞和表达流利的和non-fluent读者。

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