A trajectory mixture density network for the acoustic-articulatory inversion mapping

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 2, Issue , 2006, Pages 577-580

  Richmond, Korin ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Acoustic articulatory inversion; Conditional trajectory model; Mixture density network

Indexed keywords

MAPPING; MAXIMUM LIKELIHOOD; MEAN SQUARE ERROR; MIXTURES;

ARTICULATORY INVERSION; DYNAMIC FEATURES; MIXTURE DENSITY; ROOT MEAN SQUARE ERRORS; TARGET FEATURE; TRAJECTORY MODELING;

TRAJECTORIES;

EID: 44949185845     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. J. Schroeter and M. M. Sondhi, "Speech coding based on physiological models of speech production," in Advances in Speech Signal Processing, S. Furui and M. M. Sondhi, Eds., chapter 8, pp. 231-268. Marcel Dekker Inc, New York, 1992.
2. T. Toda, A. Black, and K. Tokuda, "Mapping from articulatory movements to vocal tract spectrum with gaussian mixture model for articulatory speech synthesis," in Proc. 5th ISCA Workshop on Speech Synthesis, 2004.
3. A. Wrench and K. Richmond, "Continuous speech recognition using articulatory data," in Proc. ICSLP 2000, Beijing, China, 2000.
4. H. Wakita, "Estimation of vocal-tract shapes from acoustical analysis of the speech wave: The state of the art," IEEE Trans. Acoust. Speech Signal Process., vol. ASSP-27, pp. 281-285, 1979.
5. K. Shirai and T. Kobayashi, "Estimating articulatory motion from speech wave," Speech Communication, vol. 5, pp. 159-170, 1986.
6. 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," J. Acoust. Soc. Am., vol. 63, pp. 1535-1555, 1978.
7. M. G. Rahim, W. B. Kleijn, J. Schroeter, and C. C. Goodyear, "Acoustic-to-articulatory parameter mapping using an assembly of neural networks," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 1991, pp. 485-488.
8. K. Richmond, S. King, and P. Taylor, "Modelling the uncertainty in recovering articulation from acoustics," Computer Speech and Language, vol. 17, pp. 153-172, 2003.
9. J. Hogden, A. Lofqvist, V. Gracco, I. Zlokarnik, P. Rubin, and E. Saltzman, "Accurate recovery of articulator positions from acoustics: New conclusions based on human data," J. Acoust. Soc. Am., vol. 100, no. 3, pp. 1819-1834, September 1996.
10. T. Toda, A. Black, and K. Tokuda, "Acoustic-to-articulatory inversion mapping with gaussian mixture model," in Proc. 8th International Conference on Spoken Language Processing, Jeju, Korea, 2004.
11. C. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
12. K. Tokuda, T. Yoshimura, T. Masuko, T. Kobayashi, and T. Kitamura, "Speech parameter generation algorithms for HMM-based speech synthesis," in Proc. ICASSP, Istanbul, Turkey, June 2000, pp. 1315-1318.
13. Sadao Hiroya and Masaaki Honda, "Estimation of articulatory movements from speech acoustics using an HMM-based speech production model," IEEE Transactions on Speech and Audio Processing, vol. 12, no. 2, pp. 175-185, mar 2004.
14. A. Wrench, "The MOCHA-TIMIT articulatory database," http://www.cstr.ed.ac.uk/artic/mocha.html, 1999.
15. K. Richmond, Estimating Articulatory Parameters from the Acoustic Speech Signal, Ph.D. thesis, The Centre for Speech Technology Research, Edinburgh University, 2002.