• DocumentCode
    465206
  • Title

    A Pitch Estimation Algorithm Based on the Smooth Harmonic Average Peak-to-Valley Envelope

  • Author

    Camacho, Arturo ; Harris, John G.

  • Author_Institution
    Computational Neuroengineering Lab., Florida Univ., Gainesville, FL
  • fYear
    2007
  • fDate
    27-30 May 2007
  • Firstpage
    3940
  • Lastpage
    3943
  • Abstract
    We propose SHAPE, a novel pitch estimation algorithm (PEA) that builds upon previous PEAs, addressing and solving some of their limitations. The SHAPE algorithm estimates the pitch using a smooth function to compute the average peak to valley distance at harmonic locations. This is done by performing an integral transform over the square-root magnitude of the spectrum using a truncated decaying cosine as a kernel. SHAPE was designed to both match human perception particularly for inharmonic sounds and to be competitive with numerous other PEAs as demonstrated on a common database.
  • Keywords
    harmonic analysis; music; speech processing; pitch estimation algorithm; smooth function; smooth harmonic average peak-to-valley envelope; Blindness; Databases; Fourier transforms; Frequency estimation; Humans; Kernel; Laboratories; Neural engineering; Shape; Signal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-4244-0920-9
  • Electronic_ISBN
    1-4244-0921-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2007.378662
  • Filename
    4253544