• DocumentCode
    431654
  • Title

    Mapping speech signals to musical scores through prosodic extraction

  • Author

    Trayanova, Boyanna ; Joachim, Dale

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Tulane Univ., New Orleans, LA, USA
  • Volume
    3
  • fYear
    2005
  • fDate
    18-23 March 2005
  • Abstract
    Detached from its semantic content, a speech signal can be interpreted as a musical structure, containing rhythm, intonation, timbre and pitch. The musical components of speech can be extracted through algorithmic prosodic analysis to be mapped into musical notation. In this paper, we present a system that extracts pitch and rhythm from an utterance for mapping into a musical score.
  • Keywords
    audio signal processing; feature extraction; music; speech processing; algorithmic prosodic analysis; energy contour extraction; intonation; musical notation; musical score speech signal mapping; note duration value extraction; pitch; prosodic feature extraction; rhythm; speech musical component extraction; speech signal musical structure; timbre; Autocorrelation; Frequency; Music; Performance analysis; Rhythm; Signal analysis; Signal mapping; Speech analysis; Speech synthesis; Timbre;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415693
  • Filename
    1415693