• DocumentCode
    3024646
  • Title

    Pitch extraction for musical signals with modified AMDF

  • Author

    Qin, Lu ; Li, Qiang ; Guan, Xin

  • Author_Institution
    Tianjin Univ., Tianjin, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    3599
  • Lastpage
    3602
  • Abstract
    Pitch period is an important parameter of speech recognition and speech synthesis. Pitch period detection has been focused on the field of audio processing research. An algorithm is presented for pitch detection of musical signals. It is based on the AMDF method with a number of modifications that combine to prevent errors. The algorithm proposed here has been proved simple and implemented efficiently. There is no upper limit on the frequency search range, so the algorithm is suited for high-pitched music. A comparative study between this algorithm and the AMDF is also given.
  • Keywords
    audio signal processing; music; speech recognition; speech synthesis; AMDF method; audio processing research; average magnitude difference function; high-pitched music; musical signals; pitch extraction; pitch period detection; speech recognition; speech synthesis; Algorithm design and analysis; Correlation; Databases; Error analysis; Frequency estimation; Harmonic analysis; Signal processing algorithms; AMDF; musical signals; pitch detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6001799
  • Filename
    6001799