Neural network modeling of speech and music signals

Advances in Neural Information Processing Systems

Volumn , Issue , 1997, Pages 779-785

  Röbel, Axel ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS;

MODEL APPROACH; NEURAL NETWORK MODEL; PRACTICAL TESTS; RBF NEURAL NETWORK; SPEECH AND MUSIC SIGNALS; SYSTEM DYNAMICS; THEORETICAL FOUNDATIONS; TIME PREDICTIONS;

NEURAL NETWORKS;

EID: 0004931962     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. CM. Bishop. Training with noise is equivalent to tikhonov regularization. Neural Computation, 7(1): 108-116,1995.
2. E. Levin. Hidden control neural architecture modelling of nonlinear time varying systems and its applications. IEEE Transactions on Neural Networks, 4(2):109-116, 1993.
3. J. Moody and C. Darken. Fast learning in networks of locally-tuned processing units. Neural Computation, 1:281-294, 1989.
4. J. Park and I. Sandberg. Universal approximation using radial-basis-function networks. Neural Computation, 3(2):246-257,1991.
5. J. C. Principe and J.-M. Kuo. Dynamic modelling of chaotic time series with neural networks. In G. Tesauro, D. S. Touretzky, and T. Leen, editors, Neural Information Processing Systems 7 (NIPS 94), 1995.
6. A. Robel. Neural models for estimating lyapunov exponents and embedding dimension from time series of nonlinear dynamical systems. In Proceedings of the Intern. Conference on Artificial Neural Networks, ICANN'95, Vol. II, pages 533-538, Paris, 1995.
7. A. Robel. Rbf networks for synthesis of speech and music signals. In 3. Workshop Fuzzy-Neuro-Systeme'95, Darmstadt, 1995. Deutsche Gesellschaft fur Infor-matik e.V.
8. A. Robel. Scaling properties of neural networks for the prediction of time series. In Proceedings of the 1996 IEEE Workshop on Neural Networks for Signal Processing VI, 1996.
9. T. Sauer, J. A. Yorke, and M. Casdagli. Embedology. Journal of Statistical Physics, 65(3/4):579-616,1991.
10. F. Takens. Detecting Strange Attractors in Turbulence, volume 898 of Lecture Notes in Mathematics (Dynamical Systems and Turbulence, Warwick 1980), pages 366381. D.A. Rand and L.S. Young, Eds. Berlin: Springer, 1981.
11. M. Verleysen and K. Hlavackova. An optimized RBF network for approximation of functions. In Proceedings of the European Symposium on Artificial Neural Networks, ESANN'94, 1994.
12. A. S. Weigend and N. A. Gershenfeld. Time Series Prediction: Forecasting the Future and Understanding the Past. Addison-Wesley Pub. Comp., 1993.