Popular music estimation based on topic model using time information and audio features

Abstract

This paper presents popular music estimation based on a topic model using time information and audio features. The proposed method calculates latent topic distribution using Latent Dirichlet Allocation to obtain more accurate music features. In this approach, we also use release date information of each music as time information for concerning the… (More)

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@article{Kinoshita2014PopularME, title={Popular music estimation based on topic model using time information and audio features}, author={Shohei Kinoshita and Takahiro Ogawa and Miki Haseyama}, journal={2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)}, year={2014}, pages={102-103} }