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Codebook-Based Audio Feature Representation for Music Information Retrieval
2014
IEEE/ACM Transactions on Audio Speech and Language Processing
Digital music has become prolific in the web in recent decades. Automated recommendation systems are essential for users to discover music they love and for artists to reach appropriate audience. When manual annotations and user preference data is lacking (e.g. for new artists) these systems must rely on content based methods. Besides powerful machine learning tools for classification and retrieval, a key component for successful recommendation is the audio content representation. Good
doi:10.1109/taslp.2014.2337842
fatcat:am4u4pxwfbgcvonfbfbc5byeom