• DocumentCode
    2985029
  • Title

    A System for Melody Extraction from Various Humming Inputs

  • Author

    Gao, Liang ; Wu, Yadong

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ.
  • fYear
    2006
  • fDate
    Aug. 2006
  • Firstpage
    680
  • Lastpage
    684
  • Abstract
    For a QBH (query-by-humming) system, it is important to extract melody from various humming inputs (whistle, nasal, singing, and humming). We use a new method to classify the humming inputs into two types (whistle and non-whistle), and two different ways to extract fundamental frequency (FO). Two phase of cepstrum with zero-process is introduced to get proper fundamental frequency from the non-whistle type. With tracking the energy difference curve and pitch curve, assisted by cepstrum peak value curve, note segmentations are made. Rough experiments show that this approach is effective and efficient
  • Keywords
    audio signal processing; music; cepstrum peak value curve; energy difference curve; fundamental frequency; melody extraction; nasal; nonwhistle type; note segmentations; pitch curve; query-by-humming; singing; various humming inputs; Autocorrelation; Cepstrum; Computer science; Data mining; Fourier transforms; Frequency; Information technology; Music information retrieval; Partial response channels; Signal processing; melody extraction; note segmentation; query-by-humming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2006 IEEE International Symposium on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9753-3
  • Electronic_ISBN
    0-7803-9754-1
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2006.270886
  • Filename
    4042328