Detailed Prosody Report for Oral Reading Fluency Assessment via Machine Learning

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Abstract

This study conducted cluster analysis on prosodic features to provide diagnostic information on students’ prosodic aspect of oral reading fluency. The results suggested that students with the same rating category exhibited different acoustic characteristics in their reading. It provided further diagnostic descriptions on students’ oral reading behaviors.

Authors

• xin qiao, Southern Methodist University

• Akihito Kamata, SOUTHERN METHODIST UNIVERSITY

• Eric C. Larson, Southern Methodist University

• Kuo Wang, Southern Methodist University

• Sarunya Somsong, Srinakharinwirot University & Southern Methodist University