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On Improving the Performance of Pitch Predictors in Speech Coding Systems

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Book cover Advances in Speech Coding

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 114))

Abstract

Pitch prediction [1] plays an important role in many speech coding systems such as multipulse [2] and vector or code-excited linear predictive coders [3]. The pitch predictor removes the redundancy in a periodic speech signal by predicting the current signal from a linear combination of past versions of this signal. The general form of an odd-order pitch predictor with delay M and predictor coefficients b(k) is given by: Equ1 number equation at page 321

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References

  1. B. Atal, “Predictive coding of speech at low bit rates,” IEEE Trans. Communications, vol. COM-30, no. 4, pp. 600–614, April 1982.

    Article  Google Scholar 

  2. B. Atal and J. Remde, “A new model of LPC excitation for producing natural-sounding speech at low bit rates,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 614–617, 1982.

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  3. M. Schroeder and B. Atal, “Code-excited linear prediction (CELP): high quality speech at very low bit rates,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 937–940, 1985.

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  4. N. Jayant and P. Noll, Digital Coding of Waveforms. Englewood Cliffs, NJ: Prentice Hall, 1984.

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  5. P. Kroon and B. Atal, “On improving the performance of pitch predictors in speech coding systems,” Proc. IEEE Workshop on Speech Coding for Telecommunications, pp. 49–50, 1989.

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  6. P. Kroon and B. Atal, “Pitch predictors with high temporal resolution,” Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, 1990.

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  7. R. Crochiere and L. Rabiner, Multirate Digital Signal Processing. Englewood Cliffs, NJ: Prentice Hall, 1983.

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  8. G. Oetken, T. Parks, and H. Schüssler, “New results in the design of digital interpolators,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-23, no. 3, pp. 301–309, 1975.

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  9. T. Parks and D. Kolba, “Interpolation minimizing maximum normalized error for band-limited signals,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-26, no. 4, pp. 381–384, 1978.

    Article  MATH  Google Scholar 

  10. P. Kroon and E. Deprettere, “A class of analysis-by-synthesis predictive coders for high quality speech coding at rates between 4.8 and 16 kb/s,” IEEE J. on Selected Areas in Communications, vol. SAC-6, no. 2, pp. 353–363, February 1988.

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© 1991 Springer Science+Business Media New York

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Kroon, P., Atal, B.S. (1991). On Improving the Performance of Pitch Predictors in Speech Coding Systems. In: Atal, B.S., Cuperman, V., Gersho, A. (eds) Advances in Speech Coding. The Springer International Series in Engineering and Computer Science, vol 114. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3266-8_31

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  • DOI: https://doi.org/10.1007/978-1-4615-3266-8_31

  • Publisher Name: Springer, Boston, MA

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