EMIR: a novel music retrieval system for mobile devices incorporating analysis of user emotion
Zhou, Lijuan Marissa, Lin, Hongfei and Gurrin, CathalORCID: 0000-0003-4395-7702
(2012)
EMIR: a novel music retrieval system for mobile devices incorporating analysis of user emotion.
In: International Conference on Multimedia Modelling: MMM 2012, 4-6 Jan 2012, Klagenfurt, Austria.
ISBN 978-3-642-27354-4
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.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Music Information Retrieval; Emotion Detection; Machine Learning;
Emotion Space.