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Original Articles

The Nonlinear Time Alignment Model for Speech Recognition System

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Pages 271-275 | Published online: 26 Mar 2015

REFERENCES

  • F Itakura, Minimum Prediction Residual Principle Applied to Speech Recognition, IEEE Trans Acoustics, Speech and Signal Processing, vol ASSP-23(1), pp 67–72, Feb 1975.
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  • C Myers, L R Rabiner & A E Rosenberg, Peformance Tradeoffs in Dynamic Time Warping Algorithms for Isolated Word Recognition, IEEE Trans Acoustics, Speech and Signal Processing, vol ASSP-28(6), pp 623–635, Dec 1980.
  • L R Rabiner, A E Rosenberg & S E Levinson, Considerations in Dynamic Time Warping Algorithms for Discrete Word Recognition, IEEE Trans, Acoustics, Speech and Signal Processing, vol ASSP-26(6), pp 575–582, Dec 1978.
  • L R Rabiner & S E Levinson, Isolated and Connected Word Recognition—Theory and Selected Applications, IEEE Trans on Communication, vol Com 29(5), pp 621–659, May 1981.
  • H F Silverman & D P Morgan, The Application of Dynamic Programming to Connected Speech Recognition, IEEE ASSP Magazine, pp 6–33, July 1990.
  • L R Rabiner & B H Juang, Fundamentals of Speech Recognition, Prentice Hall, Englewood Cliffs, New Jersey, 1993.
  • S B Davis & P Mermelstein, Comparison of Parametric Representations for Monosyllbic Word Recognition in Continuously Spoken Sentences, IEEE Trans Acoustics, Speech and Signal Processing, ASSP—vol 28, no 4, pp 357–366, Aug 1980.

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