• DocumentCode
    3522073
  • Title

    Extraction and evaluation of phonetic-acoustic rules for continuous speech recognition

  • Author

    Kimura, Shinfa ; Iwamida, Hitoshi ; Sanada, Toru

  • Author_Institution
    Fujitsu Lab. Ltd., Kawasaki, Japan
  • fYear
    1989
  • fDate
    23-26 May 1989
  • Firstpage
    338
  • Abstract
    The automatic extraction and evaluation of phonetic-acoustic rules for continuous speech recognition are described. The rules account for phonemic variations, segment spectra, and segment durations in continuous speech. The authors previously reported that the phonemic variations in 10000 words spoken by ten males can be represented using 317 phonemic variation rules, and they reported the evaluation results of the rules on top-down phoneme segmentation. The authors introduce the automatic extraction of rules for segment spectra and segment duration and report the evaluation results for the phonetic-acoustic rules used for recognizing a 1000-word vocabulary
  • Keywords
    speech recognition; automatic extraction; continuous speech; phonemic variations; phonetic-acoustic rules; segment durations; segment spectra; speech recognition; top-down phoneme segmentation; Data mining; Expert systems; Hidden Markov models; Neural networks; Spectrogram; Speech analysis; Speech recognition; Statistical analysis; Training data; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1989.266434
  • Filename
    266434