• DocumentCode
    974354
  • Title

    Voiced-speech representation by an analog silicon model of the auditory periphery

  • Author

    Liu, Weimin ; Andreou, Andreas G. ; Goldstein, Moise H., Jr.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • Volume
    3
  • Issue
    3
  • fYear
    1992
  • fDate
    5/1/1992 12:00:00 AM
  • Firstpage
    477
  • Lastpage
    487
  • Abstract
    An analog CMOS integration of a model for the auditory periphery is presented. The model consists of middle ear, basilar membrane, and hair cell/synapse modules which are derived from neurophysiological studies. The circuit realization of each module is discussed, and experimental data of each module´s response to sinusoidal excitation are given. The nonlinear speech processing capabilities of the system are demonstrated using the voiced syllable |ba|. The multichannel output of the silicon model corresponds to the time-varying instantaneous firing rates of auditory nerve fibers that have different characteristic frequencies. These outputs are similar to the physiologically obtained responses. The actual implementation uses subthreshold CMOS technology and analog continuous-time circuits, resulting in a real-time, micropower device with potential applications as a preprocessor of auditory stimuli
  • Keywords
    CMOS integrated circuits; ear; hearing; neural nets; physiological models; speech analysis and processing; analog CMOS integration; auditory periphery; basilar membrane; characteristic frequencies; hair cell/synapse modules; micropower device; middle ear; multichannel output; neurophysiological studies; nonlinear speech processing capabilities; preprocessor; sinusoidal excitation; subthreshold CMOS technology; time-varying instantaneous firing rates; voiced syllable; Biomembranes; CMOS technology; Circuits; Ear; Frequency; Hair; Nerve fibers; Semiconductor device modeling; Silicon; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.129420
  • Filename
    129420