• DocumentCode
    1114727
  • Title

    Talking computers. Spanish work in speech processing

  • Author

    Pardo, J.M. ; Aguilera, S. ; Savoji, M.H.

  • Author_Institution
    Univ. Politecnica de Madrid, Spain
  • Volume
    40
  • Issue
    4
  • fYear
    1994
  • fDate
    7/21/1994 12:00:00 AM
  • Firstpage
    163
  • Lastpage
    165
  • Abstract
    Reliable speech recognition is one of the challenges of user-friendly computing. An Esprit project has brought speech processing in several languages much closer to commercial reality. The authors describe the Polyglot project in which the system for recognising isolated speech in Polyglot builds on a technology originally developed for Italian, extending it to cope with English, French, German, Spanish and Greek. The method consists of three modules: a preselection stage, a fine phonetic analysis and a linguistic module. For each word, the preselection module conducts a fast search across the known vocabulary and selects 2% of the words as the most probable candidates. Fine phonetic analysis hones the possibilities to the best five. Finally, the linguistic module produces a single ´recognised´ word after due consideration of its grammatical category (e.g. whether it´s a noun or a verb), and the category of the preceding word. All this work is done on a PC (386 or higher) with a specially designed DSP (digital signal processing) board. The results obtained varied with different languages, depending on the intrinsic difficulty of the language and the amount of development work undertaken. The authors discuss the Spanish achievements in Polyglot
  • Keywords
    digital signal processing chips; speech analysis and processing; speech recognition; DSP board; Esprit project; PC; Polyglot project; Spanish work; digital signal processing board; fine phonetic analysis; grammatical category; linguistic module; preselection stage; speech processing; speech recognition;
  • fLanguage
    English
  • Journal_Title
    IEE Review
  • Publisher
    iet
  • ISSN
    0953-5683
  • Type

    jour

  • DOI
    10.1049/ir:19940409
  • Filename
    295798