• DocumentCode
    2926606
  • Title

    A New Voice Recognition Topology Based on the Human Auditory Cortex

  • Author

    Shahgoshtasbi, Dariush

  • Author_Institution
    AZAD Univ. (Central Tehran Branch), Tehran
  • fYear
    2006
  • fDate
    24-26 July 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Human brain consists of 4 lobes where each lobe has a special task. Each lobe is divided into several cortexes each of them constructed of millions of neurons. The brain functionality depends on these neurons and their interconnections. One of these cortexes is auditory cortex which is constructed of 6 layers and deals with the processing of auditory information transmitted from ear to the brain. The artificial neural network presented in this paper consisting of four modular parts recognizes the frequency of the human voice. The first part of the network eliminates frequencies which have weak intensities. The second part recognizes the pitch or the first harmony of the voice. The third part prepares inputs based on other harmonies of the frequency for the last part, and the last part which is an associative memory neural network, maps the input set to a desire output set.
  • Keywords
    brain; content-addressable storage; hearing; neural nets; speaker recognition; topology; artificial neural network; associative memory neural network; auditory information; human auditory cortex; human brain; neurons; voice recognition topology; Associative memory; Biological neural networks; Ear; Frequency; Humans; Information analysis; Neurons; Signal analysis; Speech recognition; Topology; Associativ Memory; Auditory Cortex Function; Network Topology; Neural Network; Neuron; Tonotopical; Weight Convergence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2006. WAC '06. World
  • Conference_Location
    Budapest
  • Print_ISBN
    1-889335-33-9
  • Type

    conf

  • DOI
    10.1109/WAC.2006.376039
  • Filename
    4259955