Evaluation of English intonation based on combination of multiple evaluation scores

Akinori Ito, Tomoaki Konno, Masashi Ito, Shozo Makino

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

In this paper, we proposed a novel method for evaluating intonation of an English utterance spoken by a learner for intonation learning by a CALL system. The proposed method is based on an intonation evaluation method proposed by Suzuki et al., which uses "word importance factors," which are calculated based on word clusters given by a decision tree. We extended Suzuki's method so that multiple decision trees are used and the resulting intonation scores are combined using multiple regression. As a result of an experiment, we obtained correlation coefficient comparable to the correlation between human raters.

Original languageEnglish
Pages (from-to)596-599
Number of pages4
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication statusPublished - 2009 Nov 26
Event10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009 - Brighton, United Kingdom
Duration: 2009 Sep 62009 Sep 10

Keywords

  • Computer-assisted language learning system
  • Decision tree
  • Intonation
  • Multiple regression
  • Prosody evaluation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Sensory Systems

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