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A Codification of Error Signal by Splines Functions

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Speech Recognition and Understanding

Part of the book series: NATO ASI Series ((NATO ASI F,volume 75))

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Abstract

One possible way of increasing the low-bit rate speech-coders performance is to consider a parametric glottal model as source for voiced sounds and to approach the glottal waveform using trigonometric functions. The main problem of this procedure is how to determine the opening and closure times. This work proposes an alternative method based on an approximation of the glottal signal by spline functions (particularly cubic splines).

Another objective is to remove the influence from the non-white glottal source in the estimation of the parameters of the production filter. In the proposed algorithm, this is obtained using conventional predictive analysis.

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References

  1. Hedelin: “A Glottal LPC-vocoder”, Proc.ICASSP-84, pp 161–164.

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  2. Hedelin: “High Quality Glottal LPC-vocoder”, Proc.ICASSP-86, pp 991–994.

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  3. Markel-Gray: “Linear Prediction of speech”, Springer Verlag, 1976

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  4. Bergstrom: “Glottal Analysis Using LPC”, Proc.IASTED-87, pp 22–26.

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  5. Gasca Gonzalez: “Calculo Numerico I”, UNED, 1988.

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© 1992 Springer-Verlag Berlin Heidelberg

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Benitez, M.C., Galvez, J.A., Rubio, A., Diaz, J. (1992). A Codification of Error Signal by Splines Functions. In: Laface, P., De Mori, R. (eds) Speech Recognition and Understanding. NATO ASI Series, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76626-8_48

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  • DOI: https://doi.org/10.1007/978-3-642-76626-8_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-76628-2

  • Online ISBN: 978-3-642-76626-8

  • eBook Packages: Springer Book Archive

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