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SLHMM: An ANN Approach for Continuous Speech Recognition

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Speech Recognition and Coding

Part of the book series: NATO ASI Series ((NATO ASI F,volume 147))

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Abstract

Nowadays a big research effort is being made in the development of CSR systems, both ANN-based and HMM-based. Up to now, the HMM-based systems seem to have the best performance, although the ANN-based ones are being developed quicker than the HMM-based due to the new topologies that are being tested with increasingly good results.

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References

  1. J. S. Bridle, “Alpha-Nets: A Recurrent ‘Neural’ Network Architecture with a Hidden Markov Model Interpretation,” Speech Communications, Vol. 9, pp. 83–92, 1990.

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  2. J. Díaz, “A new neuron model foran Alphanet-Semicontinuous HMM,” Proc. ICASSP′93, Vol. 1, pp. 529–532, 1993.

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  3. J. C. Segura, “Modelos de Markov con Cuantización Dependiente para Reconocimiento de Voz,” Dept. de Electrónica y Tecnología de Computadores. Universidad de Granada, Doctoral Thesis, November 1991.

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  4. H. Ney, “Improvements in beam search for 10.000-word continuous speech recognizer,” Proc. ICASSP′92, Vol. 1, pp. 9–12, 1992.

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© 1995 Springer-Verlag Berlin Heidelberg

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Segura-Luna, J.C., Díaz-Verdejo, J.E., Rubio-Ayuso, A.J., García-Teodoro, P., López-Soler, J.M. (1995). SLHMM: An ANN Approach for Continuous Speech Recognition. In: Ayuso, A.J.R., Soler, J.M.L. (eds) Speech Recognition and Coding. NATO ASI Series, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57745-1_20

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  • DOI: https://doi.org/10.1007/978-3-642-57745-1_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63344-7

  • Online ISBN: 978-3-642-57745-1

  • eBook Packages: Springer Book Archive

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