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
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;
Conference_Titel :
Signals and Systems Conference, 208. (ISSC 2008). IET Irish
Conference_Location :
Galway
Print_ISBN :
978-0-86341-931-7