@inproceedings{6b9ebf4df824413eb63e3af2e4ff3f8a,
title = "Evaluation of english speech recognition for Japanese learners using DNN-based acoustic models",
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.",
keywords = "CALL, Deep neural networks, ERJ database, Speech recognition",
author = "Jiang Fu and Yuya Chiba and Takashi Nose and Akinori Ito",
note = "Funding Information: This work was supported by JSPS KAKENHI Grant Number JP17H00823. Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 ; Conference date: 26-11-2018 Through 28-11-2018",
year = "2019",
doi = "10.1007/978-3-030-03748-2_11",
language = "English",
isbn = "9783030037475",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "93--100",
editor = "Jain, {Lakhmi C.} and Jain, {Lakhmi C.} and Pei-Wei Tsai and Akinori Ito and Jeng-Shyang Pan and Jain, {Lakhmi C.}",
booktitle = "Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing",
address = "Germany",
}