MURAL - Maynooth University Research Archive Library



    Onset detection using Comb Filters


    Gainza, Mikel and Coyle, Eugene and Lawlor, Bob (2005) Onset detection using Comb Filters. In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics 2005, October 16-19, 2005, New Paltz, NY.

    [img] Download (219kB)


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    A technique for detecting note onsets using FIR comb filters which have different filter delays is presented. The proposed onset detector focuses on the inharmonic characteristics of the onset component and the energy increases of the signal. Both properties are combined by utilizing FIR comb filters on a frame by frame basis in order to obtain an onset detection function, which is suitable for detecting slow onsets. The proposed approach improves upon existing methods in terms of the percentage of correct detections in signals containing slow onsets.

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Copyright © 2005 IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of NUI Maynooth ePrints and eTheses Archive's products or services.  Internal or personal use of this material is permitted.  However, permission for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
    Keywords: Comb filters; onset detection
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 20
    Depositing User: Robert Lawlor
    Date Deposited: 09 Aug 2007
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    URI:
      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

      Repository Staff Only(login required)

      View Item Item control page

      Downloads

      Downloads per month over past year

      Origin of downloads