A novel framework for efficient automated singer identification in large music databases

A novel framework for efficient automated singer identification in large music databases

10.1145/1508850.1508856

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Bibliographic Details
Main Authors: Shen, J., Shepherd, J., Cui, B., Tan, K.-L.
Other Authors: COMPUTER SCIENCE
Format: Article
Published: 2013
Subjects:
Classification
EM algorithm
Evaluation
Gaussian mixture models
Music retrieval
Singer identification
Statistical modeling
Online Access:http://scholarbank.nus.edu.sg/handle/10635/39079
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Institution: National University of Singapore

Internet

http://scholarbank.nus.edu.sg/handle/10635/39079

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