• DocumentCode
    387756
  • Title

    Lexical stress determination and its application to large vocabulary speech recognition

  • Author

    Aull, Ann Marie ; Zue, Victor W.

  • Author_Institution
    Massachusetts Institute of Technology, Cambridge, Massachusetts
  • Volume
    10
  • fYear
    1985
  • fDate
    31138
  • Firstpage
    1549
  • Lastpage
    1552
  • Abstract
    This study is concerned with the determination of lexical stress for isolated words from the acoustic signal. It is motivated by the suggestion that stressed syllables can provide islands of reliability where the phonetic information is more robust. In addition, stress information has been found to help lexical access. Our study consisted of three parts. First, we established through a lexical study that stress information can indeed provide strong constraints to be useful for large-vocabulary, isolated-word speech recognition. Second, an acoustic study was conducted to determine the acoustic correlates of lexical stress. Finally, a system was developed to determine the lexical stress patterns from the speech signal. The system performance, evaluated on some 1,600 words spoken by 11 talkers, indicated that the stressed syllable can be detected with a 2% error rate. The entire stress pattern can be determined with an error of 13%, with a significant amount of the error attributable to the system´s failure in identifying the proper number of syllables.
  • Keywords
    Acoustic signal detection; Application software; Automatic speech recognition; Isolation technology; Laboratories; Robustness; Speech recognition; Stress; System performance; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1985.1168075
  • Filename
    1168075