• DocumentCode
    2997445
  • Title

    VCV Segmentation and phoneme recognition in continuous speech

  • Author

    Hataoka, Nobuo ; Amano, Akio ; Yajima, Shun´Ichi ; En´Doh, Hirohide

  • Author_Institution
    Hitachi LTD., Tokyo, Japan
  • Volume
    11
  • fYear
    1986
  • fDate
    31503
  • Firstpage
    2299
  • Lastpage
    2302
  • Abstract
    An algorithm for phoneme recognition in continuous speech is described. The main features of this algorithm are the SElf-Adjusted SEGmentation (SEASEG), a method for segmenting continuous speech into a CV or VCV level, and novel consonant recognition, a new method for weighting a distance measure according to the speech transition information. Experimental results confirm a vowel interval segmentation rate of 97.4 % and a consonant recognition score of 85 % for a specified speaker.
  • Keywords
    Cutoff frequency; Frequency conversion; Laboratories; Microelectronics; Pattern recognition; Product development; Speech analysis; Speech processing; Speech recognition; Weight measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1986.1168537
  • Filename
    1168537
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2997445