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Title: What strikes the strings of your heart? - Multi-label dimensionality reduction for music emotion analysis
Authors: Liu, Y
Liu, Y 
Zhao, Y
Hua, KA
Keywords: Multi-emotion similarity preserving embedding
Multi-label dimensionality reduction
Music emotion analysis
Issue Date: 2014
Publisher: Association for Computing Machinery, Inc
Source: MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia, 2014, p. 1069-1072 How to cite?
Abstract: Music can convey and evoke powerful emotions. This amazing ability has fascinated the general public and also attracted the researchers from different fields to discover the relationship between music and emotion. Psychologists have indicated that some specific characters of rhythm, harmony, melody, and also their combinations can evoke certain kinds of emotions. Their hypotheses are based on real life experience and proved by psychological paradigms on human beings. Aiming at the same target, this paper intends to design a systematic and quantitative framework, and answer three widely interested questions: 1) what are the intrinsic features embedded in music signal that essentially evoke human emotions; 2) to what extent these features influence human emotions; and 3) whether the findings from computational models are consistent with the existing research results from psychological experiments. We formulate the problem as a multi-label dimensionality reduction problem and provide the optimal solution. The proposed multi-emotion similarity preserving embedding technique not only shows better performance in two standard music emotion datasets but also demonstrates some interesting observations for further research in this interdisciplinary topic.
Description: 2014 ACM Conference on Multimedia, MM 2014, 3-7 November 2014
ISBN: 9781450330633
DOI: 10.1145/2647868.2655068
Appears in Collections:Conference Paper

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