• DocumentCode
    3244561
  • Title

    Voice command recognition using fuzzy logic

  • Author

    Hale, Christopher ; Nguyen, CamQuynh

  • fYear
    1995
  • fDate
    7-9 Nov. 1995
  • Firstpage
    608
  • Abstract
    Voice command recognition and fuzzy logic are two technologies that are changing the way embedded system developers control their products. This paper covers how to use fuzzy logic on an advanced microcontroller with integrated DSP hardware for voice command recognition. The integrated analog-to-digital converter on the advanced microcontroller digitizes the voice command, filters it through low pass filter and encodes it into a series of frequency patterns to be recognized using fuzzy logic inference rules. Using a simple normalization method factors out variation in voice command pitch and volume. A set of self-learning and pattern recognition rules applied to the voice spectrum then determines which command matches the voice input pattern
  • Keywords
    Analog-digital conversion; Control systems; Digital signal processing; Embedded system; Fuzzy logic; Hardware; Low pass filters; Microcontrollers; Pattern recognition; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    WESCON/'95. Conference record. 'Microelectronics Communications Technology Producing Quality Products Mobile and Portable Power Emerging Technologies'
  • Conference_Location
    San Francisco, CA, USA
  • ISSN
    1095-791X
  • Print_ISBN
    0-7803-2636-9
  • Type

    conf

  • DOI
    10.1109/WESCON.1995.485450
  • Filename
    485450