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    VLSI implementation of the SIFT algorithm for pitch detection

    Brichta, Bjoern and Franke, M. and Schwarzbacher, Andreas and Timoney, Joseph and Hoppe, B. (2005) VLSI implementation of the SIFT algorithm for pitch detection. In: Irish Signals and Systems Conference 2005, September 1-2 2005, Dublin City University, Dublin, Ireland.

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    Speech voicing classification and pitch detection are fundamental techniques in speech analysis. Voicing information provides valuable insights into the nature of the excitation source used in speech production, and the pitch information is useful to many speech processing applications. In 1972 John Markel developed a technique which combines the benefits of inverse linear predictive (LPC) analysis and simple short-time autocorrelation to extract essential speech parameters. The research resulted in the simplified inverse filter tracking (SIFT) algorithm to make voiced/unvoiced classification of speech signals and determine the pitch period. Up until now this algorithm was used in various software algorithms only. However, this paper describes a real-time CMOS hardware implementation of this algorithm small enough to be implemented into various mobile communications equipment.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: SIFT Algorithm; CMOS Design; VLSI Design; Pitch Detection;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Electronic Engineering
    Item ID: 4210
    Depositing User: Joseph Timoney
    Date Deposited: 20 Feb 2013 10:21
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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