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On trellis codes for linear predictive speech compression

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Error Control, Cryptology, and Speech Compression (ECCSP 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 829))

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Abstract

We consider the problem of efficient codebook search for the code excited linear predictive (CELP) speech coders. To dimmish the search complexity a trellis codebook is proposed and decoding algorithms based on the Viterbi algorithm are investigated. Numerical results of the computer simulation are presented.

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References

  1. B.S.Atal, “Predictive Coding of Speech at Low Bit Rates,” IEEE Trans., vol. Com-30, No.4, pp.600–614, Apr.1982.

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  2. M.R.Schroeder and B.S.Atal, “Code Excited Linear Prediction (CELP): High quality Speech at Very Low Bit Rates,” International Conference on Acoustics, Speech and Signal Processing, Proceedings, pp.937–940, 1982.

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  5. M.W.Marcellin, T.S.Fisher and J.D.Gibson, “Predictive Trellis Coded Quantization of Speech,” IEEE Trans., vol. ASSP-38, No.1, pp.46–55, Jan. 1990.

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Authors and Affiliations

  1. St.-Petersburg Academy of Aerospace Instrumentation, Bolshaya Morskaya str., 67, 190000, St.-Petersburg, Russia

    Irina E. Bocharova, Victor D. Kolesnik, Victor Yu. Krachkovsky, Boris D. Kudryashov, Eugeny P. Ovsjannikov & Boris K. Troyanovsky

Authors
  1. Irina E. Bocharova
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  2. Victor D. Kolesnik
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  3. Victor Yu. Krachkovsky
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  4. Boris D. Kudryashov
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  5. Eugeny P. Ovsjannikov
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  6. Boris K. Troyanovsky
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Editor information

Andrew Chmora Stephen B. Wicker

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© 1994 Springer-Verlag Berlin Heidelberg

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Bocharova, I.E., Kolesnik, V.D., Krachkovsky, V.Y., Kudryashov, B.D., Ovsjannikov, E.P., Troyanovsky, B.K. (1994). On trellis codes for linear predictive speech compression. In: Chmora, A., Wicker, S.B. (eds) Error Control, Cryptology, and Speech Compression. ECCSP 1993. Lecture Notes in Computer Science, vol 829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58265-7_16

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  • DOI: https://doi.org/10.1007/3-540-58265-7_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58265-6

  • Online ISBN: 978-3-540-48588-9

  • eBook Packages: Springer Book Archive

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