CONTINUOUS DIGIT RECOGNITION FOR A REAL-TIME VOICE DIALING SYSTEM USING DISCRETE HIDDEN MARKOV MODELS

  • Choi, S.H. (Department of Information and Communication Engineering Korea Advanced Institute of Science and Technology) ;
  • Hong, H.J. (Department of Information and Communication Engineering Korea Advanced Institute of Science and Technology) ;
  • Lee, S.W. (Department of Information and Communication Engineering Korea Advanced Institute of Science and Technology) ;
  • Kim, H.K. (Department of Information and Communication Engineering Korea Advanced Institute of Science and Technology) ;
  • Oh, K.C. (Department of Information and Communication Engineering Korea Advanced Institute of Science and Technology) ;
  • Kim, K.C. (Department of Information and Communication Engineering Korea Advanced Institute of Science and Technology) ;
  • Lee, H.S. (Department of Information and Communication Engineering Korea Advanced Institute of Science and Technology)
  • Published : 1994.06.01

Abstract

This paper introduces a interword modeling and a Viterbi search method for continuous speech recognition. We also describe a development of a real-time voice dialing system which can recognize around one hundred words and continuous digits in speaker independent mode. For continuous digit recognition, between-word units have been proposed to provide a more precise representation of word junctures. The best path in HMM is found by the Viterbi search algorithm, from which digit sequences are recognized. The simulation results show that a interword modeling using the context-dependent between-word units provide better recognition rates than a pause modeling using the context-independent pause unit. The voice dialing system is implemented on a DSP board with a telephone interface plugged in an IBM PC AT/486.

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