• DocumentCode
    286272
  • Title

    The application of k-testable languages in the strict sense to phone recognition in automatic speech recognition

  • Author

    Galiano, I. ; Segarra, E.

  • Author_Institution
    Dept. Sistemas Inf. y Computacion, Univ. Politecnica de Valencia, Spain
  • fYear
    1993
  • fDate
    22-23 Apr 1993
  • Abstract
    The aim of the work is to show the feasibility and the appeal of characterizable methods of grammatical inference in establishing the required structural models for particular syntactic pattern recognition problems, so as to allow a satisfactory performance to be achieved. In particular, the authors have chosen the application area of automatic speech recognition. They describe two applications in Spanish phone recognition of the use of k=2 and k=3 testable languages in the strict sense (k-TLSS) inductively learned via the k-TSS inference algorithm
  • Keywords
    grammars; inference mechanisms; speech recognition; ASR; Spanish phone recognition; automatic speech recognition; characterizable methods; grammatical inference; inductively learned; k-TLSS; k-TSS inference algorithm; k-testable languages; required structural models; syntactic pattern recognition problems; testable languages;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Grammatical Inference: Theory, Applications and Alternatives, IEE Colloquium on
  • Conference_Location
    Colchester
  • Type

    conf

  • Filename
    243133