• DocumentCode
    2552332
  • Title

    Analysis of Music Representations of Vocal Performance Based on Spectrogram

  • Author

    Chen, Qing ; Ai, Lihua ; Wei, Weiying ; Ma, Wenjun ; Xie, Peipei ; Zhang, Ming

  • Author_Institution
    Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Spectrogram is a main analysis method of audio signals and other similar quasi - stationary ones and produces a time-frequency portrait of a signal. This paper researches correspondence between important time-frequency structures and music representations of vocal performance, aiming at providing quantitative analysis and objective information description of the subjective perception of specific voice techniques. Experiments and vocal music examples reveal and indicate that spectrogram is a powerful tool for aiding the study, comprehension, and interpretation of musical expression.
  • Keywords
    audio signal processing; fast Fourier transforms; music; spectral analysis; audio signal; fast Fourier transform; music representation; musical expression; signal time-frequency portrait; spectrogram; time-frequency structure; vocal music; vocal performance; voice technique; Fourier transforms; Harmonic analysis; Multiple signal classification; Music; Spectrogram; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600580
  • Filename
    5600580