SPEECH RECOGNITION USING A LINEAR DYNAMIC SEGMENTAL HMM

4th European Conference on Speech Communication and Technology, EUROSPEECH 1995

Volumn , Issue , 1995, Pages 1611-1614

  Holmes, Wendy J ^a   Russell, Martin J ^a  

^a DRA   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH COMMUNICATION; SPEECH RECOGNITION; TRAJECTORIES;

ACOUSTIC FEATURE VECTORS; EXPLICIT MODELS; HIDDEN-MARKOV MODELS; LINEAR DYNAMICS; LINEAR TRAJECTORY; PARAMETRIC REPRESENTATIONS; SEGMENTAL HIDDEN MARKOV MODELS; SPEECH SEGMENTS; SPEECH SOUNDS; TRAJECTORY-BASED;

HIDDEN MARKOV MODELS;

EID: 34249312073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. M J. Russell, "A segmental HMM for speech pattern modelling", Proc. IEEE ICASSP, Minneapolis, pp. 499-502,1993.
2. W.J. Holmes and M.J. Russell, "Experimental evaluation of segmental HMMs, Proc. IEEE ICASSP, Detroit, pp. 536-539, 1995.
3. O. Ghitza and M.M. Sondhi "Hidden Markov models with templates as non-stationary states: an application to speech recognition". Computer Speech and Language, 2, pp. 101-119,1993.
4. W.D. Goldenthal and J.R. Glass, "Statistical trajectory models for phonetic recognition". Proc. ICSLP, Yokohama, pp. 1871-1873,1994.
5. V. Digalakis, J.R. Rohlicek and M. Ostendorf, "A dynamical system approach to continuous speech recognition". Proc. IEEE ICASSP, Toronto, pp. 289-292, 1992
6. L. Deng, M. Asmanovic, D. Sun and J. Wu, "Speech recognition using hidden Markov models with polynomial regression functions as nonstationary states", IEEE Trans. SAP, 2, no. 4, pp. 507-520, 1994.
7. L.A. Liporace, "Maximum likelihood estimation for multivariate observations of Markov sources", IEEE Trans. Information Theory, IT-28, pp. 729-734, 1982.