Analysis and Estimation of Sentence Speakability for English Pronunciation Evaluation

Satsuki Naijo, Yuya Chiba, Takashi Nose, Akinori Ito

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Conventional automatic English evaluation systems used only acoustic features extracted from an input speech. However, not only the speaker' s pronunciation ability but also the difficulty of the sentences affect the pronunciation score. In this paper, we referred to the difficulty of sentences as 'speakability.' Analysis of variance revealed that sentence speakability was effective in the evaluation as well as the speaker s pronunciation ability. We also showed that the number of phonemes in a sentence and word familiarity were useful as features to estimate sentence speakability. Finally, we carried out the multivariate regression analysis to estimate the sentence speakability score from these features, and the correlation coefficient was 0.41.

本文言語English
ホスト出版物のタイトル2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ353-355
ページ数3
ISBN(電子版)9781728198026
DOI
出版ステータスPublished - 2020 10 13
イベント9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan
継続期間: 2020 10 132020 10 16

出版物シリーズ

名前2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference9th IEEE Global Conference on Consumer Electronics, GCCE 2020
国/地域Japan
CityKobe
Period20/10/1320/10/16

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学
  • メディア記述
  • 器械工学
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識

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