基于磁共振成像的汉语普通话舌尖调音建模 |
汪高武1, 党建武2, 孔江平3 |
1. 北京师范大学 文学院, 北京 100875; 2. 天津大学 计算机科学与技术学院, 天津 300072; 3. 北京大学 中国语言文学系, 北京 100871 |
Modeling of the tongue tip in Standard Chinese using MRI |
WANG Gaowu1, DANG Jianwu2, KONG Jiangping3 |
1. School of Chinese Language and Literature, Beijing Normal University, Beijing 100875, China; 2. School of Computer Science and Technology, Tianjin University, Tianjin 300072, China; 3. Department of Chinese Language and Literature, Peking University, Beijing 100871, China |
摘要:
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摘要通过对汉语普通话磁共振成像数据的分析,对舌尖的形状和运动进行调音建模。建立了汉语普通话磁共振成像调音数据库,包括9个单元音和75个辅音变体。提取了发音器官在正中矢状面上的形状边缘;对舌头的形状边缘进行主成分分析,发现舌尖和舌体分开建模更为简洁;针对舌尖调音动作,用舌尖前伸(TTP)和舌尖上翘(TTR)两个调音参数来控制舌尖形状和动作,建立了舌尖的调音模型。 | |||
关键词 :磁共振成像,汉语普通话,舌尖,调音模型 | |||
Abstract:The tongue tip motion in Standard Chinese was modeled based on articulatory data from magnetic resonance imaging (MRI) images. An MRI articulatory database was developed for Standard Chinese, including 9 vowels and 75 consonant variants. Principle component analysis (PCA) of the tongue shape was then used to find articulatory factors. The results show that the tongue should be divided as the tongue tip and tongue body and modeled separately for more precise results. The tongue tip motion is modeled with two articulatory parameters for tongue tip protrude and tongue tip raise which represent the protruding/advancing and raising/retroflexing movements of the tongue tip. | |||
Key words:magnetic resonance imaging (MRI)Standard Chinesetongue tiparticulatory model | |||
收稿日期: 2016-06-23 出版日期: 2017-02-21 | |||
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引用本文: |
汪高武, 党建武, 孔江平. 基于磁共振成像的汉语普通话舌尖调音建模[J]. 清华大学学报(自然科学版), 2017, 57(2): 158-163. WANG Gaowu, DANG Jianwu, KONG Jiangping. Modeling of the tongue tip in Standard Chinese using MRI. Journal of Tsinghua University(Science and Technology), 2017, 57(2): 158-163. |
链接本文: |
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.22.008或 http://jst.tsinghuajournals.com/CN/Y2017/V57/I2/158 |
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参考文献:
[1] | Fant G. Acoustic Theory of Speech Production[M]. 2nd Ed. Hague:Mouton, 1970:328. |
[2] | Hardcastle W J, Laver J. The Handbook of Phonetic Sciences[M]. Oxford:Blackwell Publishing, 1999. |
[3] | Story B H. A parametric model of the vocal tract area function for vowel and consonant simulation[J]. J Acoust Soc Am, 2005, 117(5):3231-3254. |
[4] | Flanagan J. Speech Analysis Synthesis and Perception[M]. New York:Spinger, 1972. |
[5] | Wilhelms-Tricarico R. A biomechanical and physiologically-based vocal tract model and its control[J]. J Phonetics, 1996, 24(1):23-38. |
[6] | Dang J W, Honda K. Construction and control of a physiological articulatory model[J]. J Acoust Soc Am, 2004, 115(2):853-870. |
[7] | Iskarous K. Patterns of tongue movement[J]. J Phonetics, 2005, 33(4):363-381. |
[8] | Badin P, Bailly G, Reveret L, et al. Three-dimensional linear articulatory modeling of tongue, lips and face, based on MRI and video images[J]. J Phonetics, 2002, 30(3):533-553. |
[9] | Engwall O. Combining MRI, EMA and EPG measurements in a three-dimensional tongue model[J]. Speech Comm, 2003, 41(2/3):303-329. |
[10] | Mermelstein P. Articulatory model for the study of speech production[J]. J Acoust Soc Am, 1973, 53(4):1070-1082. |
[11] | Coker C H. A model of articulatory dynamics and control[J]. Proceedings of the IEEE, 1976, 64(4):452-460. |
[12] | Lindblom B, Sundberg J. Acoustical consequences of lip, tongue, jaw, and larynx movement[J]. J Acoust Soc Am, 1971, 50(4):1166-1179. |
[13] | Harshman R, Ladefoged P, Goldstein L. Factor analysis of tongue shapes[J]. J Acoust Soc Am, 1977, 62(3):693-707. |
[14] | Beautemps D, Badin P, Bailly G. Linear degrees of freedom in speech production:Analysis of cineradio-and labio-film data and articulatory-acoustic modeling[J]. J Acoust Soc Am, 2001, 109(5):2165-2180. |
[15] | Wang G, Kitamura T, Lu X G, et al. MRI-based study of morphological and acoustical properties of Mandarin sustained steady vowels[J]. J Signal Process, 2008, 12(4):311-314. |
[16] | Wang Y, Wang H, Gao J, et al. Detailed morphological analysis of mandarin sustained steady vowels[C]//International Symposium on Chinese Spoken Language Processing (ISCSLP). Hong Kong, 2012:413-416. |
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