| [1] |
Eskenazi M.An overview of spoken language tech-nology for education. Speech Communication, 2009, 51(10): 832-844
|
| [2] |
Dlaska A, Krekeler C.Self-assessment of pronun-ciation. System, 2008, 36(4): 506-516
|
| [3] |
Neri A, Cucchiarini C, Strik H, et al.The pedagogy-technology interface in computer assisted pronuncia-tion training. Computer Assisted Language learning, 2002, 15(5): 441-467
|
| [4] |
Franco H, Neumeyer L, Ramos M, et al.Automatic detection of phone-level mispronunciation for language learning // EUROSPEECH. Budapest, 1999: 851-854
|
| [5] |
Witt S M, Young S J.Phone-level pronunciation scoring and assessment for interactive language learning. Speech Communication, 2000, 30(2): 95-108
|
| [6] |
Zhang F, Huang C, Soong F K, et al.Automatic mispronunciation detection for Mandarin // 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. Caesars Palace, 2008: 5077-5080
|
| [7] |
Wang Y B, Lee L S.Improved approaches of modeling and detecting error patterns with empirical analysis for computer-aided pronunciation training // 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Kyoto, 2012: 5049-5052
|
| [8] |
Hu W, Qian Y, Soong F K, et al. Improved mispronunciation detection with deep neural network trained acoustic models and transfer learning based logistic regression classifiers. Speech Communi-cation, 2015, 67: 154-166
|
| [9] |
Witt S M.Automatic error detection in pronunciation training: where we are and where we need to go // Proc ISADEPT. Stockholm, 2012: 12-19
|
| [10] |
王岚, 李崇国, 蒙美玲, 等. 音素级错误发音自动检测. 先进技术研究通报, 2009, 3(2): 6-10
|
| [11] |
Luo D, Yang X, Wang L.Improvement of segmental mispronunciation detection with prior knowledge extracted from large L2 speech corpus // INTER-SPEECH. Florence, 2011: 1593-1596
|
| [12] |
Yoon S Y, Hasegawa-Johnson M, Sproat R.Landmark- based automated pronunciation error detection // INTERSPEECH. Makuhari, 2010: 614-617
|
| [13] |
Cao W, Wang D, Zhang J, et al.Developing a Chinese L2 speech database of Japanese learners with narrow-phonetic labels for computer assisted pronunciation training // Eleventh Annual Conference of the Inter-national Speech Communication Association. Chiba, 2010: 1922-1925
|
| [14] |
Duan R, Zhang J, Cao W, et al.A preliminary study on ASR-based detection of Chinese mispronunciation by Japanese learners // INTERSPEECH. Singapore, 2014: 1478-1481
|
| [15] |
Gao Y, Xie Y, Cao W, et al.A study on robust detection of pronunciation erroneous tendency based on deep neural network // 16th Annual Conference of the International Speech Communication Association (INTERSPEECH). Dresden, 2015: 693-696
|
| [16] |
Schroeter J, Sondhi M M.Techniques for estimating vocal-tract shapes from the speech signal. IEEE Transactions on Speech and Audio Processing, 1994, 2(1): 133-150
|
| [17] |
Yu D, Siniscalchi S M, Deng L, et al.Boosting attribute and phone estimation accuracies with deep neural networks for detection-based speech reco-gnition // 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Kyoto, 2012: 4169-4172
|
| [18] |
Kirchhoff K.Combining articulatory and acoustic information for speech recognition in noisy and reverberant environments // ICSLP. Sydney, 1998: 1-4
|
| [19] |
Kirchho K.Robust speech recognition using artic-ulatory information [D]. Bielefeld: University of Bielefeld, 1999
|
| [20] |
张晴晴, 潘接林, 颜永红. 基于发音特征的汉语普通话语音声学建模. 声学学报, 2010, 35(2): 254-260
|
| [21] |
Metze F. Articulatory features for conversational speech recognition [D]. Karlsruhe: Karlsruhe Univer-sity, 2005
|
| [22] |
Livescu K, Cetin O, Hasegawa-Johnson M, et al. Articulatory feature-based methods for acoustic and audio-visual speech recognition: Summary from the 2006 JHU summer workshop // 2007 IEEE Inter-national Conference on Acoustics, Speech and Signal Processing. Pacific Grove, CA, 2007: IV-621-IV-624
|
| [23] |
Cetin O, Kantor A, King S, et al. An articulatory feature-based tandem approach and factored observa-tion modeling//2007 IEEE International Conference on Acoustics, Speech and Signal Processing. Pacific Grove, CA, 2007: IV-645-IV-648
|
| [24] |
Çetin O, Magimai-Doss M, Livescu K, et al.Monolingual and crosslingual comparison of tandem features derived from articulatory and phone MLPs // IEEE Workshop on Automatic Speech Recognition & Understanding. Kyoto, 2007: 36-41
|
| [25] |
黄伯荣, 廖序东. 现代汉语. 北京:高等教育出版社, 2007
|
| [26] |
Gao S, Xu B, Zhang H, et al.Update progress of Sinohear: advanced Mandarin LVCSR system at NLPR // INTERSPEECH. Beijing, 2000: 798-801
|
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