MODELING SEGMENTAL DURATION WITH MULTIVARIATE ADAPTIVE REGRESSION SPLINES

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

Volumn , Issue , 1997, Pages 2627-2630

  Riedi, Marcel ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION COEFFICIENT; GENERAL FUNCTIONS; HIGH-DIMENSIONAL; HIGHER-DIMENSIONAL; MODEL-BASED OPC; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; MULTIVARIATE ADAPTIVE REGRESSION SPLINES MODELS; SPARSE DATA; TEST SETS; TEXT-TO-SPEECH SYSTEM;

SPEECH COMMUNICATION;

EID: 0002287938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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4. M. D. Riley, “Tree-based modelling of segmental durations,” in Talking Machines: Theories, Models and Designs (G. Bailly, C. Benoît, and T. R. Sawallis, eds.), pp. 265-273, North-Holland, 1992.
5. D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning internal representations by error propagation,” in Parallel Distributed Processing (D. E. Rumelhart and J. L. Mc-Clelland, eds.), vol. 1, ch. 8, pp. 318-362, MIT Press, Cambridge, Mass., 1986.
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7. M. Riedi, “A neural-network-based model of segmental duration for speech synthesis,” in Proc. Eurospeech'95, vol. 1, pp. 599-602, ESCA, 1995.
8. J. P. H. van Santen, “Assignment of segmental duration in text-to-speech synthesis,” Computer Speech and Language, vol. 8, pp. 95-128, 1994.