Dynamic Time Warp Pattern Matching Using an Integrated Multiprocessing Array

  title={Dynamic Time Warp Pattern Matching Using an Integrated Multiprocessing Array},
  author={Neil Weste and David J. Burr and Bryan D. Ackland},
  journal={IEEE Transactions on Computers},
Dynamic time warping is a well-established technique for time alignment and comparison of speech and image patterns. This paper decribes the architecture, algorithms, and design of a CMOS integrated processing array used for computing the dynamic time warp algorithm. Emphasis is placed on speech recognition applications because of the real-time constraints imposed by isolated and continuous speech recognition. 
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An integrated circuit digital signal processor , " presented at the Int

  • G. T. Daryanani J. R. Boddie, R. N. Gadinz Eldumiati, J. S. Thompson, M. Walters, R. A. Pederson
  • IEEE Int . Conf Acoust . , Speech , Signal…
  • 1981

Rabiner , " A level building dynamic time warping algorithm for connected word recognition

  • R. L.
  • 1981

Dynamic programming optimization for spoken word recognition

  • H. Sakoe, S. Chiba
  • IEEE Trans . Acoust . , Speech , Signal…
  • 1978

Evaluation of an automatic speaker verification system over telephone lines

  • A. E. Rosenberg
  • 1976

Design of a linguistic statistical decoder for the recognition of continuous speech

  • L. Bahl F. Jelinek, R. L. Mercer
  • Inform . Theory
  • 1975

Minimum prediction residual applied to speech recognition,

  • F. Itakura
  • IEEE Trans. Acoust., Speech, Signal Processing…
  • 1975

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