Sustained Vowel Modeling using Nonlinear Autoregressive Method based on Least Squares-Support Vector Regression |
Jang, Seung-Jin
(연세대학교 의공학과)
Kim, Hyo-Min (연세대학교 의공학과) Park, Young-Choel (연세대학교 컴퓨터통신공학부) Choi, Hong-Shik (연세대학교 이비인후과) Yoon, Young-Ro (연세대학교 의공학과) |
1 | Klatt, D, Review of text-to-speech conversion for english, J. of Acoust Socof Am., 1987, vol.82, pp. 737-793 DOI |
2 | J. Mercer, Functions of positive and negative type and their connection with the theory of integral equations, Philos. Trans. Roy. Soc. London 1909 |
3 | Golub, G.H. and C.F. Van Loan, Matrix Computations. John Hopkins University Press, 1989 |
4 | Laver J, Hiller S, Mackenzie J, Rooney E: An acoustic screening system for the detection of laryngeal pathology. J.Phonetics, vol.14, pp.517 -524 |
5 | J.C. Principe, A. Rathie, J.M. Kuo, Prediction of chaotic time series with neural networks and the issue of dynamic modeling, Int. J. Bifurcation Chaos, 1992, vol.2, pp. 989 - 996 DOI |
6 | C.S. Blackburn, Articulatory Methods for Speech Production and Recognition, PhD Thesis, Cambridge University Engineering Department, 1996 |
7 | Banci G, Monini S, Falaschi A, Sario N: Vocal fold disorder evaluation by digital speech analysis, J. Phonetics,1986, vol.14, pp.495-499 |
8 | Rabiner L. and Juang B. H., Fundamentals of speech recognition, Prentence Hall, NJ, 1993 |
9 | M.R. Petraglia, S.K. Mitra, Performance analysis of adaptive filter structures based on subband decomposition, Proceedings of the IEEE International Symposium on Circuit and Systems, Chicago, IL, 1993, pp. 60 - 63 |
10 | Gavidia-Ceballos L, Hansen L: Direct speech feature estimation using an iterative EM algorithm for vocal fold pathology detection, IEEE Tr. on Biomedical Eng., 1996, vol. 43, pp.373-383 DOI ScienceOn |
11 | B. Schlkopf, A. J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond, MIT Press, 2001 |
12 | Giovanni A, Robert D, Estubier N, Teston B: Objective evaluation of dysphonia: Preliminary results of a device allowing simultaneous acoustics and aerodynamics measurements. Folia, Phon. Logop |
13 | R.E. Crochiere, L.R. Rabiner, Multirate Digital Signal Processing, Prentice-Hall, Englewood CliLs, NJ, 1983 |
14 | V. Vapnik, The Nature of Statistical Learning Theory, Springer Verlag, New York, 1995 |
15 | N.J. Fleige, Multirate Digital Signal Processing (Multirate systems, Filter Banks, Wavelet), Wiley, New York, 1994 |
16 | H. Yasukawa, Signal restoration of broad band speech using nonlinear processing, Proceedings of EUSIPCO'96, Trieste, Italy, Sept. 1996 |