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Non parametric coding of speech by means of a MLP with hints

  • Neural Networks for Perception
  • Conference paper
  • First Online:
Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

This paper presents a non parametric compression system which makes use of the fact that a MLP has an internal representation of the data in the hidden layer. The system that we present makes a compression by using 4 or 8 times less units in the hidden layer than in the input. In order to improve the performance of the system we decided to use hints at the output of the system [3], these hints proved to be of use for improving the performance of the system. Several kind of hints were studied, and the results are compared with a system without hints. We also considered other aspects related with the implementation and learning in neural nets with a high number of weights

This work was supported by the grant TIC95-1022-C05-03

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References

  1. Cottrell, G. W., Munro, P., Zipser,D., “Image compression by back propagation: An example of extensional programming”, ICS Report 8702, University of California, 1987.

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  2. Kung, S. Y., Digital Neural Networks, Prentice Hall, 1993.

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  3. Suddarth, S. C, Kergosien, Y.L.,”Rule-injection hints as a means of improving network performance and learning time”. Lecture Notes is Computer Science.Proceedings fo the EURASIP Workshop 90. Springer Verlag.

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  4. Furui, S. Digital Speech Processing, Synthesis and Recognition, Marcel Dekker. 1989.

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Authors and Affiliations

  1. Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034, Barcelona, Spain

    Gustavo Hernández Ábrego, Enric Monte & José B. Mariño

Authors
  1. Gustavo Hernández Ábrego
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  2. Enric Monte
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  3. José B. Mariño
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Editor information

José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Ábrego, G.H., Monte, E., Mariño, J.B. (1997). Non parametric coding of speech by means of a MLP with hints. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032566

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  • DOI: https://doi.org/10.1007/BFb0032566

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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