Evaluation of english speech recognition for Japanese learners using DNN-based acoustic models

Jiang Fu, Yuya Chiba, Takashi Nose, Akinori Ito

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Regarding the assistance of computer-assisted language learning (CALL) systems to make foreign language learning easier, it is necessary to recognize the utterances of the learner with high accuracy. The quality of CALL systems mainly depends on the accuracy of automatic speech recognition (ASR). However, since the pronunciation of non-native speakers is greatly different from that of native speakers, existing ASR system cannot well recognize speech accurately. To solve this problem, this research projects an acoustic model based on deep neural networks (DNN), which is trained by using ERJ (English Read by Japanese) database collected from 202 Japanese learners. Compared with traditional ASR systems, this new system significantly promotes the speech recognition accuracy.

本文言語English
ホスト出版物のタイトルRecent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
編集者Lakhmi C. Jain, Lakhmi C. Jain, Pei-Wei Tsai, Akinori Ito, Jeng-Shyang Pan, Lakhmi C. Jain
出版社Springer Science and Business Media Deutschland GmbH
ページ93-100
ページ数8
ISBN(印刷版)9783030037475
DOI
出版ステータスPublished - 2019
イベント14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan
継続期間: 2018 11 262018 11 28

出版物シリーズ

名前Smart Innovation, Systems and Technologies
110
ISSN(印刷版)2190-3018
ISSN(電子版)2190-3026

Other

Other14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018
国/地域Japan
CitySendai
Period18/11/2618/11/28

ASJC Scopus subject areas

  • 決定科学(全般)
  • コンピュータ サイエンス(全般)

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