• DocumentCode
    1109585
  • Title

    Speaker Adaptation in a Limited Speech Recognition System

  • Author

    Makhoul, John

  • Author_Institution
    IEEE
  • Issue
    9
  • fYear
    1971
  • Firstpage
    1057
  • Lastpage
    1063
  • Abstract
    This study examines the feasibility and limitations of speaker adaptation in improving the performance of a fixed (speaker-independent) automatic speech recognition system. A fixed vocabulary of 55 [ƏCVd] syllables is used in the recognition system, where C is 1 of 11 stops and fricatives, and V is 1 of 5 tense vowels. The results of the experiment on speaker adaptation, performed with 6 male and 6 female adult speakers, show that speakers can learn to change their articulations to appreciably improve recognition scores. The preliminary results obtained also indicate that most of the necessary adaptation can be achieved in a relatively short time, provided that the speakers are instructed in how to change their articulations to produce the desired effects.
  • Keywords
    Feature extraction, man-machine interaction, speaker adaptation, speech analysis, speech recognition.; Automatic speech recognition; Humans; Learning; Loudspeakers; Man machine systems; Oral communication; Speech analysis; Speech processing; Speech recognition; Vocabulary; Feature extraction, man-machine interaction, speaker adaptation, speech analysis, speech recognition.;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/T-C.1971.223403
  • Filename
    1671996