The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Propomos um novo sistema CALL (Aprendizagem de Língua Assistida por Computador) para alunos não-nativos de japonês usando métodos de reconhecimento de fala. O objetivo do sistema é ajudá-los a desenvolver uma pronúncia natural, detectando automaticamente seus erros de pronúncia e, em seguida, fornecendo instruções de feedback eficazes. Um método de pontuação automática baseado na probabilidade logarítmica do HMM é usado para avaliar sua pronúncia. As pontuações dos falantes nativos são normalizadas pela média e desvio padrão de cada fonema e são usadas como valores limite para detectar erros de pronúncia. Ao contrário dos sistemas CALL anteriores, não apenas detectamos erros de pronúncia, mas também geramos feedback apropriado para melhorá-los. Especialmente para o feedback de consoantes, propomos um novo método baseado na classificação do local e forma de articulação. A eficácia do nosso sistema é demonstrada com testes preliminares realizados por vários falantes não nativos.
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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},}
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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 -