• DocumentCode
    1657921
  • Title

    A study on singing performance evaluation criteria for untrained singers

  • Author

    Cao, Chuan ; Li, Ming ; Liu, Jian ; Yan, Yonghong

  • Author_Institution
    ThinkIT Speech Lab., Chinese Acad. of Sci.
  • fYear
    2008
  • Firstpage
    1475
  • Lastpage
    1478
  • Abstract
    This paper describes a study of subjective criteria for untrained singerspsila singing voice quality evaluation, focusing on the perceptual aspects that have relatively strong acoustic implications. And the correlation among the individual perceptual criteria is also investigated. A SVM regression method is applied to find the importance of every evaluation criterion. Experiments on a 200 singing clips dataset are conducted to give promising results. And probable acoustic cues are introduced for a future prospect.
  • Keywords
    audio signal processing; regression analysis; support vector machines; SVM regression method; singing performance evaluation criteria; singing voice quality evaluation; untrained singers; Acoustics; Brightness; Dynamic range; Humans; Resonance; Rhythm; Signal processing algorithms; Speech analysis; Support vector machines; Timbre;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697411
  • Filename
    4697411