Title

Towards Efficient Automated Singer Identification in Large Music Databases

Publication Type

Conference Proceeding Article

Publication Date

2006

Abstract

Automated singer identification is important in organising, browsing and retrieving data in large music databases. In this paper, we propose a novel scheme, called Hybrid Singer Identifier (HSI), for automated singer recognition. HSI can effectively use multiple low-level features extracted from both vocal and non-vocal music segments to enhance the identification process with a hybrid architecture and build profiles of individual singer characteristics based on statistical mixture models. Extensive experimental results conducted on a large music database demonstrate the superiority of our method over state-of-the-art approaches.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on research and development in information retrieval

First Page

59

Last Page

66

ISBN

9781595933690

Identifier

10.1145/1148170.1148184

Publisher

ACM

Additional URL

http://dx.doi.org/10.1145/1148170.1148184

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