Abstract
The rapid increase in the amount of on-line music services creates a need for automatic extraction of information from songs, music indexing and recommendation. But Music Information Retrieval is not an easy task and is still under development. This review paper focuses on features in Music Information Retrieval. We present audio engineering features and feature learning approach. © 2014 Springer International Publishing.
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CITATION STYLE
Grzywczak, D., & Gwardys, G. (2014). Audio features in music information retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8610 LNCS, pp. 187–199). Springer Verlag. https://doi.org/10.1007/978-3-319-09912-5_16
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