HMM-based text-to-articulatory-movement prediction and analysis of critical articulators

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2194-2197

  Ling, Zhen Hua ^a   Richmond, Korin ^b   Yamagishi, Junichi ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Articulatory features; Critical articulators; Hidden Markov model; Parameter generation

Indexed keywords

FORECASTING; HIDDEN MARKOV MODELS; MAXIMUM LIKELIHOOD; SPEECH COMMUNICATION; TRELLIS CODES; MOTION ESTIMATION; SPEECH RECOGNITION;

ARTICULATORY FEATURES; CONTEXT-DEPENDENT MODELS; CRITICAL ARTICULATORS; ELECTROMAGNETIC ARTICULOGRAPHY; MOVEMENT PREDICTION; PARAMETER GENERATION; PREDICTION ERRORS; ROOT-MEAN-SQUARE ERRORS; CRITICAL ARTICULATOR; HIDDEN-MARKOV MODELS; MODEL-BASED OPC; MOVEMENT ANALYSIS; PREDICTION AND ANALYSIS; TEXT INPUT;

MOTION ESTIMATION; HIDDEN MARKOV MODELS;

EID: 79959823601     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. P. W. Schönle, K. Gräbe, P. Wenig, J. Höhne, J. Schrader, and B. Conrad, "Electromagnetic articulography: Use of alternating magnetic fields for tracking movements of multiple points inside and outside the vocal tract," Brain Lang., vol. 31, pp. 26-35, 1987.
2. K. Tokuda, H. Zen, and A. W. Black, "HMM-based approach to multilingual speech synthesis," in Text to speech synthesis: New paradigms and advances, S. Narayanan and A. Alwan, Eds. Prentice Hall, 2004.
3. K. Tokuda, T. Yoshimura, T. Masuko, T. Kobayashi, and T. Kitamura, "Speech parameter generation algorithms for HMM-based speech synthesis," in ICASSP, vol. 3, 2000, pp. 1315-1318.
4. C. S. Blackburn and S. Young, "A self-learning predictive model of articulator movements during speech production," Journal of the Acoustical Society of America, vol. 107, no. 3, pp. 1659-1670, 2000. (Pubitemid 30141707)
5. S. Hiroya and M. Honda, "Estimation of articulatory movements from speech acoustics using an HMM-based speech production model," IEEE Trans. Speech Audio Process., vol. 12, no. 2, pp. 175-185, 2004.
6. L. Zhang and S. Renals, "Acoustic-articulatory modelling with the trajectory HMM," IEEE Signal Processing Letters, vol. 15, pp. 245-248, 2008.
7. S. Hiroya and T. Mochida, "Multi-speaker articulatory trajectory formation based on speaker-independent articulatory HMMs," Speech Communication, vol. 48, no. 12, pp. 1677-1690, 2006. (Pubitemid 44820390)
8. G. Papcun, J. Hochberg, T. R. Thomas, F. Laroche, J. Zachs, and S. Levy, "Inferring articulation and recognising gestures from acoustics with a neural network trained on X-ray microbeam data," J. Acoust. Soc. Am., vol. 92, no. 2, pp. 688-700, August 1992.
9. K. Shinoda and T. Watanabe, "MDL-based context-dependent subword modeling for speech recognition," J. Acoust. Soc. Japan (E), vol. 21, no. 2, pp. 79-86, 2000. (Pubitemid 30594111)
10. T. Yoshimura, K. Tokuda, T. Masuko, T. Kobayashi, and T. Kitamura, "Duration modeling in HMM-based speech synthesis system," in ICSLP, vol. 2, 1998, pp. 29-32.
11. S. Fitt and S. Isard, "Synthesis of regional English using a keyword lexicon," in Eurospeech, vol. 2, 1999, pp. 823-826.
12. P. Taylor, A. W. Black, and R. Caley, "The architecture of the Festival speech synthesis system," in 3rd ESCA Workshop in Speech Synthesis, 1998, pp. 147-151.
13. S. Young, G. Evermann, D. Kershaw, G. Moore, J. Odell, D. Ollason, D. Povey, V. Valtchev, and P. Woodland, The HTK Book (for HTK version 3.2). Cambridge University Engineering Department, 2002.
14. H. Zen, T. Nose, J. Yamagishi, S. Sako, T. Masuko, A. W. Black, and K. Tokuda, "The HMM-based speech synthesis system (HTS) version 2.0," in 6th ISCA Workshop on Speech Synthesis, 2007, pp. 294-299.