Large-vocabulary spoken word recognition using simplified time-warping patterns

Y. Nara, K. Iwata, Y. Kijima, A. Kobayashi, S. Kimura, S. Sasaki, J. Tanahashi

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


We propose a new matching algorithm for large vocabulary spoken word recognition, which gives a recognition score compatible to that of the traditional DP matching algorithm, but requires less than 1/10 as much calculation. By a computer simulation of 1,000 categories in speaker dependent recognition of speech samples uttered by five male adult speakers, an average recognition score of 95.8% was obtained. We have constructed a real-time speaker dependent speech recognizer using our algorithm. We are now examining the application of this recognizer to Japanese text input.

Original languageEnglish
Article number1171514
Pages (from-to)1266-1269
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 1982
Externally publishedYes
Event1982 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1982 - Paris, France
Duration: 1982 May 31982 May 5

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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