Proceedings of the 11th international conference on World Wide Web
A comparative study on content-based music genre classification
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Multimedia content processing through cross-modal association
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automatic multimedia cross-modal correlation discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures
Computer Music Journal
Extracting information from music audio
Communications of the ACM - Music information retrieval
The Cuidado music browser: an end-to-end electronic music distribution system
Multimedia Tools and Applications
Musical instrument recognition using cepstral coefficients and temporal features
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Pattern Recognition, Fourth Edition
Pattern Recognition, Fourth Edition
Hierarchical audio content classification system using an optimal feature selection algorithm
Multimedia Tools and Applications
Multimedia Tools and Applications
"The way it Sounds": timbre models for analysis and retrieval of music signals
IEEE Transactions on Multimedia
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In this paper, we discuss various features of music objects in two kinds of domain. Among these features, Mel-frequency cepstral coefficients (MFCCs) are further discussed and described by Gaussian mixture model (GMM). Also, the similarity between GMMs are investigated accordingly. Then, we employ the multimedia graph as a cross-modal method to associate MFCCs and genre tags of music objects. By applying link analysis algorithm in the graph, we label appropriate genre tags for target music objects. Also, we perform experiments to show performance, effectiveness, and parameter setting of our approach.