• DocumentCode
    484795
  • Title

    Violin sound quality detection

  • Author

    Charles, J.A. ; FitzGerald, D. ; Coyle, E.

  • Author_Institution
    Sch. of Electr. Eng. Syst., Dublin Inst. of Technol., Dublin
  • fYear
    2008
  • fDate
    18-19 June 2008
  • Firstpage
    282
  • Lastpage
    287
  • Abstract
    Although much research has been completed on finding features for instrument recognition systems, little work has focused on the violin´s timbre space. Suitable features from which a computer can assess the quality of a violinist´s playing have been sought and the classification of violin note sound quality is investigated in this paper. The eventual outcome of this work can be applied in various systems including the development of a violin or bowed string instrument teaching aid, in automatic music transcription and information retrieval or classification systems.
  • Keywords
    audio signal processing; musical instruments; pattern clustering; signal classification; automatic music transcription; information retrieval; instrument recognition systems; k-means clustering; nearest-neighbour classification; string instrument teaching aid; violin note sound quality classification; violin sound quality detection; k-means clustering; nearest-neighbour (NN) classification; timbre; violin;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Signals and Systems Conference, 208. (ISSC 2008). IET Irish
  • Conference_Location
    Galway
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-931-7
  • Type

    conf

  • Filename
    4780967