Introduction to statistical pattern recognition (2nd ed.)
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Ten lectures on wavelets
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Fundamentals of speech recognition
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A beat tracking system for acoustic signals of music
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Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
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Music retrieval: a tutorial and review
Foundations and Trends in Information Retrieval
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EURASIP Journal on Applied Signal Processing
QueST: querying music databases by acoustic and textual features
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IMSA'07 IASTED European Conference on Proceedings of the IASTED European Conference: internet and multimedia systems and applications
User Modeling and User-Adapted Interaction
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Proceedings of the 10th ACM workshop on Web information and data management
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Improving music genre classification using collaborative tagging data
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ACM Transactions on Information Systems (TOIS)
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QUC-tree: integrating query context information for efficient music retrieval
IEEE Transactions on Multimedia - Special issue on integration of context and content
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IEEE Transactions on Multimedia - Special section on communities and media computing
Musical genre classification using modified wavelet-like features and support vector machines
EurolMSA '07 Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications
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Intelligent Decision Technologies
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IEEE Transactions on Audio, Speech, and Language Processing
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IEEE Transactions on Audio, Speech, and Language Processing
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Applied Intelligence
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IEEE Transactions on Audio, Speech, and Language Processing
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MM '11 Proceedings of the 19th ACM international conference on Multimedia
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CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
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AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
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ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
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Information Processing and Management: an International Journal
Cost-effective activity recognition on mobile devices
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Capturing the workflows of music information retrieval for repeatability and reuse
Journal of Intelligent Information Systems
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Content-based music genre classification is a fundamental component of music information retrieval systems and has been gaining importance and enjoying a growing amount of attention with the emergence of digital music on the Internet. Currently little work has been done on automatic music genre classification, and in addition, the reported classification accuracies are relatively low. This paper proposes a new feature extraction method for music genre classification, DWCHs. DWCHs stands for Daubechies Wavelet Coefficient Histograms. DWCHs capture the local and global information of music signals simultaneously by computing histograms on their Daubechies wavelet coefficients. Effectiveness of this new feature and of previously studied features are compared using various machine learning classification algorithms, including Support Vector Machines and Linear Discriminant Analysis. It is demonstrated that the use of DWCHs significantly improves the accuracy of music genre classification.