IEICE Trans

Keyword : CALL

Articulatory Modeling for Pronunciation Error Detection without Non-Native Training Data Based on DNN Transfer Learning Richeng DUAN Tatsuya KAWAHARA Masatake DANTSUJI Jinsong ZHANG
Publication: Publication Date: 2017/09/01 Vol. E100-D No. 9 ; pp. 2174-2182 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: CALL, CAPT, pronunciation error detection, articulation modeling, transfer learning,
	Summary \| Full Text:PDF(1.7MB)

A Forced Alignment Based Approach for English Passage Reading Assessment Junbo ZHANG Fuping PAN Bin DONG Qingwei ZHAO Yonghong YAN
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2012/12/01 Vol. E95-D No. 12 ; pp. 3046-3052 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: CALL, automatic assessment, forced alignment, formant,
	Summary \| Full Text:PDF(1.1MB)

Regularized Maximum Likelihood Linear Regression Adaptation for Computer-Assisted Language Learning Systems Dean LUO Yu QIAO Nobuaki MINEMATSU Keikichi HIROSE
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2011/02/01 Vol. E94-D No. 2 ; pp. 308-316 Type of Manuscript: PAPER Category: Educational Technology Keyword: CALL, speaker adaptation, MLLR, goodness of pronunciation, automatic scoring, pronunciation evaluation, error detection,
	Summary \| Full Text:PDF(571KB)

Effective Prediction of Errors by Non-native Speakers Using Decision Tree for Speech Recognition-Based CALL System Hongcui WANG Tatsuya KAWAHARA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2009/12/01 Vol. E92-D No. 12 ; pp. 2462-2468 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: speech recognition, CALL, grammar network, decision tree,
	Summary \| Full Text:PDF(480.7KB)

An LVCSR Based Reading Miscue Detection System Using Knowledge of Reference and Error Patterns Changliang LIU Fuping PAN Fengpei GE Bin DONG Hongbin SUO Yonghong YAN
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2009/09/01 Vol. E92-D No. 9 ; pp. 1716-1724 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: CALL, reading tutor, reading miscues, LVCSR, multiple pronunciation,
	Summary \| Full Text:PDF(867.4KB)

Effective Acoustic Modeling for Pronunciation Quality Scoring of Strongly Accented Mandarin Speech Fengpei GE Changliang LIU Jian SHAO Fuping PAN Bin DONG Yonghong YAN
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2008/10/01 Vol. E91-D No. 10 ; pp. 2485-2492 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: CALL, speech recognition, HLDA, speaker-dependent CMN, e-learning,
	Summary \| Full Text:PDF(734.2KB)

Automatic Scoring for Prosodic Proficiency of English Sentences Spoken by Japanese Based on Utterance Comparison Yoichi YAMASHITA Keisuke KATO Kazunori NOZAWA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2005/03/01 Vol. E88-D No. 3 ; pp. 496-501 Type of Manuscript: Special Section PAPER (Special Section on Corpus-Based Speech Technologies) Category: Speech Synthesis and Prosody Keyword: prosody, comparison unit, fitting error, multiple regression model, CALL,
	Summary \| Full Text:PDF(308.3KB)

A Statistical Method of Evaluating Pronunciation Proficiency for English Words Spoken by Japanese Seiichi NAKAGAWA Naoki NAKAMURA Kazumasa MORI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2004/07/01 Vol. E87-D No. 7 ; pp. 1917-1922 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: CALL, evaluation of pronunciation proficiency, English learning, speech recognition,
	Summary \| Full Text:PDF(463.1KB)

Japanese Pronunciation Instruction System Using Speech Recognition Methods Chul-Ho JO Tatsuya KAWAHARA Shuji DOSHITA Masatake DANTSUJI
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2000/11/25 Vol. E83-D No. 11 ; pp. 1960-1968 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: speech recognition, CALL, HMM, articulatory category, formant,
	Summary \| Full Text:PDF(1.8MB)