• DocumentCode
    2066105
  • Title

    Melody and bass line estimation method using audio feature database

  • Author

    Uchida, Yasunori ; Wada, Shigeo

  • Author_Institution
    Grad. Sch. of Eng., Tokyo Denki Univ., Tokyo, Japan
  • fYear
    2011
  • fDate
    14-16 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a musical instrument identification, melody and bass line estimation method of mixture sound signal for automatic music transcription. The method is based on sound feature verification using musical sound feature database such as tone (timbre) and pitch database. First, musical instrument is identified using MFCC. Then, melody and bass lines are estimated using time-frequency power spectrum peak positions of sound signal. Simulation results are given to show the effectiveness of our approach for musical instrument identification, melody and bass line estimation using mixture sound signals by MIDI.
  • Keywords
    audio databases; music; MFCC; MIDI; audio feature database; automatic music transcription; bass line estimation method; melody estimation method; mixture sound signal; musical instrument identification; pitch database; sound feature verification; tone database; Accuracy; Databases; Estimation; Instruments; Mel frequency cepstral coefficient; Music; Time frequency analysis; Audio signal processing; Feature extraction; Time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-0893-0
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2011.6061662
  • Filename
    6061662