EMIR: a novel music retrieval system for mobile devices incorporating analysis of user emotion

Authors:
Lijuan Zhou;Hongfei Lin;Cathal Gurrin
Affiliations:
School of Computer Science and Technology, Dalian University of Technology, China;School of Computer Science and Technology, Dalian University of Technology, China;School of Computing, Dublin City University, Ireland
Venue:
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Year:
2012

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Abstract

We present an Emotional Music Information Retrieval system for mobile devices that utilizes a machine learning approach to detect latent emotion from within both user queries (non-descriptive queries) and the lyrics of songs and uses both elements to develop an effective Music Information Retrieval system. Emotion is extracted from the songs and queries and mapped into a high-dimensional emotion space, which allows for the employment of conventional text retrieval techniques to calculate the similarity between a user query and the latent emotion in song lyrics, thereby producing a ranked list of songs for playback.