Adaptation of Maeda's model for acoustic to articulatory inversion

5th European Conference on Speech Communication and Technology, EUROSPEECH 1997

Volumn , Issue , 1997, Pages 2015-2018

  Mathieu, B ^a   Laprie, Y ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; LINGUISTICS; MAGNETIC RESONANCE IMAGING; SPEECH COMMUNICATION;

ACOUSTICS TO ARTICULATORY INVERSION; AREA FUNCTION; IMAGES SERIES; MEAN VALUES; MOUTH CAVITY; MR-IMAGES; SCALE FACTOR; VOCAL-TRACTS;

TABLE LOOKUP;

EID: 32744474660     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. B. S. Atal, J. J. Chang, M. V. Mathews, and J. W. Tukey. Inversion of articulatory-to-acoustic transformation in the vocal tract by a computer-sorting technique. Journal ofAcoustical Society ofAmerica, 63(5): 1535-1555, May 1978.
2. L.-J. Boe, P. Perrier, and G. Bailly. The geometric vocal tract variables controlled for vowel production: proposals for constraining acoustic-to-articulatory inversion. Journal of Phonetics, 20:27-38, 1992.
3. L. Candille. Modeles de production et reconnaissance automatique de la parole. These de L'Universite d'Avignon et des Pays du Vaucluse, Dec 1996.
4. L. Candille and H. Meloni. Pilotage dynamique d'un modele de production. In Actes des Hemes Journees d'Etude sur la Parole, pages 103-106, Avignon, Juin 1996.
5. M. George. Analyse du signal de parole par modelisationde la cinematique de lafonction d'aire du conduit vocal. These de L'Universite Libre de Bruxelles, Apr 1997.
6. J. M. Heinz and K. N. Stevens. On the relations between lateral cineradiographs, area functions and acoustic spectra of speech. In Proceedings of the 5th International Congress on Acousticsg, page A44., 1965.
7. Y. Laprie and M.-O. Berger. Cooperation of regularization and speech heuristics to control automatic formant tracking. Speech Communication, 19(4):255-270, October 1996.
8. S. Maeda. Un modele articulatoire de la langue avec des composantes lineaires. In Actes Wemes Journees d'Etude sur la Parole, pages 152-162, Grenoble, Mai 1979.
9. B. Mathieu and Y. Laprie. Speaker normalization of the Maeda's model. In Proceeding of International Workshop on Speech and Computer, SPECOM'96, pages 167-170, St. Petersburg, Russia, October 1996.
10. H. Ney. A dynamic programmation algorithm for nonlinear smoothing. Signal Processing, 5(2): 163-173, March 1983.
11. B. H. Story, I. R. Tize, and E. A. Hoffman. Vocal tract area functions from magnetic resonance imaging. Journal of Acoustical Society of America, 100(l):537-553, July 1996.
12. C.-S. Yang and H. Kasuya. Accurate measurement of vocal tract shapes from magnetic resonance images of child, female and male subjects. In Proceedings of International Conference on Spoken Language Processing, volume 2, pages 623-626, Yokohama, Japan, September, 1994.