• DocumentCode
    2949360
  • Title

    Self-Organising Maps in Silicon for Phoneme Recognition

  • Author

    Gatt, E. ; Micallef, J. ; Chilton, E.

  • Author_Institution
    Dept. of Microelectron., Univ. of Malta, Msida
  • fYear
    2005
  • fDate
    11-14 Dec. 2005
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the use of hardware self-organising map neural networks for phoneme recognition. The neural network has been implemented on-chip using 0.6 Pim dual-metal dual-poly CMOS technology. The results obtained for self-organising maps (SOM) for phoneme recognition systems are presented. The paper also presents tested performance characteristics for the chip.
  • Keywords
    CMOS integrated circuits; self-organising feature maps; speech recognition; dual-metal dual-poly CMOS technology; phoneme recognition; self-organising map neural networks; Circuits; Computer networks; Hamming distance; Microelectronics; Network topology; Neural networks; Pattern matching; Random access memory; Silicon; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2005. ICECS 2005. 12th IEEE International Conference on
  • Conference_Location
    Gammarth
  • Print_ISBN
    978-9972-61-100-1
  • Electronic_ISBN
    978-9972-61-100-1
  • Type

    conf

  • DOI
    10.1109/ICECS.2005.4633378
  • Filename
    4633378
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2949360