Automatic Scoring for Prosodic Proficiency of English Sentences Spoken by Japanese Based on Utterance Comparison

Yoichi YAMASHITA  Keisuke KATO  Kazunori NOZAWA  

IEICE TRANSACTIONS on Information and Systems   Vol.E88-D   No.3   pp.496-501
Publication Date: 2005/03/01
Online ISSN: 
DOI: 10.1093/ietisy/e88-d.3.496
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Corpus-Based Speech Technologies)
Category: Speech Synthesis and Prosody
prosody,  comparison unit,  fitting error,  multiple regression model,  CALL,  

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This paper describes techniques of scoring prosodic proficiency of English sentences spoken by Japanese. The multiple regression model predicts the prosodic proficiency using new prosodic measures based on the characteristics of Japanese novice learners of English. Prosodic measures are calculated by comparing prosodic parameters, such as F0, power and duration, of learner's and native speaker's speech. The new measures include the approximation error of the fitting line and the comparison result of prosodic parameters for a limited segment of the word boundary rather than the whole utterance. This paper reveals that the introduction of the new measures improved the correlation by 0.1 between the teachers' and automatic scores.