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

Jiang Fu, Yuya Chiba, Takashi Nose, Akinori Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationRecent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
EditorsLakhmi C. Jain, Lakhmi C. Jain, Pei-Wei Tsai, Akinori Ito, Jeng-Shyang Pan, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages93-100
Number of pages8
ISBN (Print)9783030037475
DOIs
Publication statusPublished - 2019
Event14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan
Duration: 2018 Nov 262018 Nov 28

Publication series

NameSmart Innovation, Systems and Technologies
Volume110
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

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

Keywords

  • CALL
  • Deep neural networks
  • ERJ database
  • Speech recognition

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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