• DocumentCode
    3252670
  • Title

    On embedded system architectures for speech recognition applications: the gap between the status and the demand

  • Author

    Arnone, L. ; Bocchio, Sara ; Rosti, Alberto

  • Author_Institution
    ST Microelectronics, Agrate Brianza, Italy
  • fYear
    2004
  • fDate
    18-21 Dec. 2004
  • Firstpage
    562
  • Lastpage
    566
  • Abstract
    Speech provides a natural and direct method for human-machine interaction, since it is one of the principal forms of human communication. Speech has many advantages over other means of communication, which make recognition systems attractive. Finally, since language is a part of human culture, no specific practice is needed for speech recognition and interaction to computer can easily be extended to common people.
  • Keywords
    embedded systems; human computer interaction; speech recognition; embedded system architecture; human communication; human-machine interaction; speech recognition application; Application software; Cellular phones; Computational efficiency; Decoding; Embedded system; Hardware; Humans; Speech recognition; Viterbi algorithm; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
  • Print_ISBN
    0-7803-8689-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2004.1434413
  • Filename
    1434413