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Automatic Generation of Linguistic, Phonetic and Acoustic Knowledge for a Diphone-Based Continuous Speech Recognition System

  • Anna Maria Colla
  • Donatella Sciarra
Part of the NATO ASI Series book series (volume 16)

Abstract

An important issue in template-matching continuous-speech recognition systems is the right choice of the language model, together with an appropriate definition of the basic units to be recognized. The advantages of using a hierarchical transition network model with diphones and diphone-like elements as basic units are illustrated in the paper. However, a severe drawback in the use of sub-word units is an increased complexity in producing and managing the overall knowledge relating to language representation and template definition and extraction. An efficient solution to this problem is required especially when the recognition system is to be used by unskilled users in actual applications. For this purpose we have developed an automatic procedure for generating the linguistic, phonetic and acoustic data bases expressing the whole information required by the diphone-based system.

Keywords

Speech Recognition Continuous Speech Recognition Regular Grammar Cepstrum Coefficient Training Sentence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1985

Authors and Affiliations

  • Anna Maria Colla
    • 1
  • Donatella Sciarra
    • 1
  1. 1.Central Research DepartmentElettronica San Giorgio, ELSAG S.p.A.Genova SestriItaly

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