IEICE TRANSACTIONS on Information
Japanese Pronunciation Instruction System Using Speech Recognition Methods
Summary :
We propose a new CALL (Computer-Assisted Language Learning) system for non-native learners of Japanese using speech recognition methods. The aim of the system is to help them develop natural pronunciation by automatically detecting their pronunciation errors and then providing effective feedback instruction. An automatic scoring method based on HMM log-likelihood is used to assess their pronunciation. Native speakers' scores are normalized by the mean and standard deviation for each phoneme and are used as threshold values to detect pronunciation errors. Unlike previous CALL systems, we not only detect pronunciation errors but also generate appropriate feedback to improve them. Especially for the feedback of consonants, we propose a novel method based on the classification of the place and manner of articulation. The effectiveness of our system is demonstrated with preliminary trials by several non-native speakers.
- Publication
- IEICE TRANSACTIONS on Information Vol.E83-D No.11 pp.1960-1968
- Publication Date
- 2000/11/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Speech and Hearing
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Chul-Ho JO, Tatsuya KAWAHARA, Shuji DOSHITA, Masatake DANTSUJI, "Japanese Pronunciation Instruction System Using Speech Recognition Methods" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 11, pp. 1960-1968, November 2000, doi: .
Abstract: We propose a new CALL (Computer-Assisted Language Learning) system for non-native learners of Japanese using speech recognition methods. The aim of the system is to help them develop natural pronunciation by automatically detecting their pronunciation errors and then providing effective feedback instruction. An automatic scoring method based on HMM log-likelihood is used to assess their pronunciation. Native speakers' scores are normalized by the mean and standard deviation for each phoneme and are used as threshold values to detect pronunciation errors. Unlike previous CALL systems, we not only detect pronunciation errors but also generate appropriate feedback to improve them. Especially for the feedback of consonants, we propose a novel method based on the classification of the place and manner of articulation. The effectiveness of our system is demonstrated with preliminary trials by several non-native speakers.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_11_1960/_p
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@ARTICLE{e83-d_11_1960,
author={Chul-Ho JO, Tatsuya KAWAHARA, Shuji DOSHITA, Masatake DANTSUJI, },
journal={IEICE TRANSACTIONS on Information},
title={Japanese Pronunciation Instruction System Using Speech Recognition Methods},
year={2000},
volume={E83-D},
number={11},
pages={1960-1968},
abstract={We propose a new CALL (Computer-Assisted Language Learning) system for non-native learners of Japanese using speech recognition methods. The aim of the system is to help them develop natural pronunciation by automatically detecting their pronunciation errors and then providing effective feedback instruction. An automatic scoring method based on HMM log-likelihood is used to assess their pronunciation. Native speakers' scores are normalized by the mean and standard deviation for each phoneme and are used as threshold values to detect pronunciation errors. Unlike previous CALL systems, we not only detect pronunciation errors but also generate appropriate feedback to improve them. Especially for the feedback of consonants, we propose a novel method based on the classification of the place and manner of articulation. The effectiveness of our system is demonstrated with preliminary trials by several non-native speakers.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - Japanese Pronunciation Instruction System Using Speech Recognition Methods
T2 - IEICE TRANSACTIONS on Information
SP - 1960
EP - 1968
AU - Chul-Ho JO
AU - Tatsuya KAWAHARA
AU - Shuji DOSHITA
AU - Masatake DANTSUJI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2000
AB - We propose a new CALL (Computer-Assisted Language Learning) system for non-native learners of Japanese using speech recognition methods. The aim of the system is to help them develop natural pronunciation by automatically detecting their pronunciation errors and then providing effective feedback instruction. An automatic scoring method based on HMM log-likelihood is used to assess their pronunciation. Native speakers' scores are normalized by the mean and standard deviation for each phoneme and are used as threshold values to detect pronunciation errors. Unlike previous CALL systems, we not only detect pronunciation errors but also generate appropriate feedback to improve them. Especially for the feedback of consonants, we propose a novel method based on the classification of the place and manner of articulation. The effectiveness of our system is demonstrated with preliminary trials by several non-native speakers.
ER -
English
