Title :
SVM-Based Automatic Classification of Musical Instruments
Author :
Liu, Jing ; Xie, Lingyun
Author_Institution :
Commun. Univ. of China, Beijing, China
Abstract :
Instrumental music is often classified or retrieved in terms of instruments played in it. With a large database consists of Chinese traditional music and western classical music, this paper extracted several features to automatically classify Chinese and western instruments by SVM classifier, and analyzed the classification results.
Keywords :
feature extraction; music; pattern classification; support vector machines; Chinese instruments; SVM-based classification; feature extraction; musical instrument classification; support vector machines; western instruments; Data mining; Feature extraction; Instruments; Machine learning; Music information retrieval; Spatial databases; Support vector machine classification; Support vector machines; Taxonomy; Testing; SVM; classification; instrumental music;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.64
