• DocumentCode
    294532
  • Title

    Microsoft Windows highly intelligent speech recognizer: Whisper

  • Author

    Xuedong Huang ; Acero, Alex ; Alleva, Fil ; Hwang, Mei-Yuh ; Jiang, Li ; Mahajan, Milind

  • Author_Institution
    Microsoft Corp., Redmond, WA, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    93
  • Abstract
    Since January 1993, the authors have been working to refine and extend Sphinx-II technologies in order to develop practical speech recognition at Microsoft. The result of that work has been the Whisper (Windows Highly Intelligent Speech Recognizer). Whisper represents significantly improved recognition efficiency, usability, and accuracy, when compared with the Sphinx-II system. In addition Whisper offers speech input capabilities for Microsoft Windows and can be scaled to meet different PC platform configurations. It provides features such as continuous speech recognition, speaker-independence, on-line adaptation, noise robustness, dynamic vocabularies and grammars. For typical Windows Command-and-Control applications (less than 1000 words), Whisper provides a software only solution on PCs equipped with a 486DX, 4MB of memory, and a standard sound card and a desk-top microphone
  • Keywords
    command and control systems; graphical user interfaces; natural language interfaces; speech recognition; Microsoft Windows highly intelligent speech recognizer; Sphinx-II technologies; Whisper; Windows Command-and-Control; accuracy; dynamic vocabularies; grammars; noise robustness; on-line adaptation; recognition efficiency; software only solution; speech recognition; usability; Acoustic noise; Command and control systems; Error analysis; Noise shaping; Power system modeling; Random access memory; Read-write memory; Speech recognition; Usability; Vocabulary; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479281
  • Filename
    479281