• DocumentCode
    1084848
  • Title

    Systems technologies for silicon auditory models

  • Author

    Lazzaro, John ; Wawrzynek, John ; Kramer, Alan

  • Author_Institution
    California Univ., Berkeley, CA, USA
  • Volume
    14
  • Issue
    3
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    7
  • Lastpage
    15
  • Abstract
    Presents a low-power analog integrated circuit which implements a biologically inspired algorithm for the spectral analysis of sound. The chip features an efficient interface to digital systems; preserving analog processing´s low-power, high-density advantages requires careful attention to interface issues. To send the spectral representation off chip, it generates a sparse coding of the output spectrum, and communicates the code as an asynchronous stream of events. We store parameters for the spectral analysis algorithm as charge on floating nodes, and support the modification of these parameters via Fowler-Nordheim tunneling, under the control of a digital interface. A prototype system uses this chip as a preprocessor.<>
  • Keywords
    analogue circuits; linear integrated circuits; spectral analysis; speech recognition; Fowler-Nordheim tunneling; analog integrated circuit; biologically inspired algorithm; digital interface; low-power analog; preprocessor; recognition analysis; scene analysis; silicon auditory models; spectral analysis; spectral representation; speech recognition; Analog integrated circuits; Biological information theory; Biological system modeling; Digital control; Digital systems; Integrated circuit technology; Prototypes; Silicon; Spectral analysis; Tunneling;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/40.285219
  • Filename
    285219