• DocumentCode
    1867223
  • Title

    The Watson speech recognition engine

  • Author

    Sharp, R. Douglas ; Bocchieri, Enrico ; Castillo, Cecilia ; Parthasarathy, S. ; Rath, Chris ; Riley, Michael ; Rowland, James

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    5
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    4065
  • Abstract
    In 1995, AT&T Research (then within Bell Labs) began work on a software-only automated speech recognition system named Watson(TM). The goal was ambitious; Watson was to serve as a single code base supporting applications ranging from PC-desktop command and control through to scaleable telephony interactive voice services. Furthermore, the software was to be the new code base for the research group, allowing fast deployment of new algorithmic advances from the lab into the field. A set of C++ objects has been developed which support these objectives. This paper gives an overview of the Watson automatic speech recognizer software architecture, describes the algorithms employed, and provides performance numbers for some sample tasks
  • Keywords
    command and control systems; interactive systems; microcomputer applications; software engineering; speech recognition; telecommunication computing; telephony; AT&T Research; Bell Labs; C++ objects; PC desktop command and control; Watson speech recognition engine; algorithms; automatic speech recognizer; performance; scaleable telephony interactive voice services; software architecture; software only automated speech recognition system; Application software; Automatic speech recognition; Engines; Maximum likelihood decoding; Software algorithms; Software architecture; Speech recognition; Speech synthesis; Telephony; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.604839
  • Filename
    604839