Please use this identifier to cite or link to this item:
|Title:||Singer identification based on vocal and instrumental models|
|Source:||Maddage, N.C., Xu, C., Wang, Ye. (2004). Singer identification based on vocal and instrumental models. Proceedings - International Conference on Pattern Recognition 2 : 375-378. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.2004.1334225|
|Abstract:||In this paper, we propose a novel method to identify the singer of a query song from the audio database. The database contains over 100 popular songs of solo singers. The rhythm structure of the song is analyzed using our proposed rhythm tracking method and the song is segmented into beat space time frames, where within the beat space time length the harmonic structure is quasi stationary. This inter-beat time resolution of the song is used for both feature extraction and training of the classifiers (i.e. Support Vector Machine (SVM) for vocal/instrumental boundary detection and Gaussian Mixture Models (GMMs) for modeling the singer). Combining the instrumental music similarities in the songs of the same singer with the vocal model can improve the identification of the singer with an accuracy of over 87%.|
|Source Title:||Proceedings - International Conference on Pattern Recognition|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 20, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.