Emotion detection in music, a survey

Mood and emotion detection can play an important role in (music) entertainment applications. There are a lot of methods for mood and emotion detection in music through acoustical feature analysis. Some perform better depending on the situation. Differences in either music or emotions or precision of a method play a role in the application of a method. This paper presents a comparison of different methods of emotion detection. This comparison will make a distinction between the precision of a certain method, the granularity of emotions and the various possible applications with all their requirements.

[1]  K. Hevner.  Experimental studies of the elements of expression in music , 1936 .

[2]  R. Thayer.  The biopsychology of mood and arousal , 1989 .

[3]  R. Lazarus.  Progress on a cognitive-motivational-relational theory of emotion. , 1991, The American psychologist.

[4]  R. Reisenzein,et al.  Stumpf's cognitive--evaluative theory of emotion. , 1992, American Psychologist.

[5]  I. Peretz,et al.  Music and emotion: perceptual determinants, immediacy, and isolation after brain damage , 1998, Cognition.

[6]  Xavier Rodet,et al.  Features extraction and temporal segmentation of acoustic signals , 1998, ICMC.

[7]  D. Watson,et al.  On the Dimensional and Hierarchical Structure of Affect , 1999 .

[8]  David Huron.  Perceptual and Cognitive Applications in Music Information Retrieval , 2000, ISMIR.

[9]  M. Lavy.  Emotion and the experience of listening to music : a framework for empirical research , 2001 .

[10]  Hillary Anger Elfenbein,et al.  On the universality and cultural specificity of emotion recognition: a meta-analysis. , 2002, Psychological bulletin.

[11]  François Pachet,et al.  Evolving Automatically High-Level Music Descriptors from Acoustic Signals , 2003, CMMR.

[12]  Daniel Västfjäll,et al.  The Subjective Sense of Presence, Emotion Recognition, and Experienced Emotions in Auditory Virtual Environments , 2003, Cyberpsychology Behav. Soc. Netw..

[13]  Tao Li,et al.  A comparative study on content-based music genre classification , 2003, SIGIR.

[14]  Lie Lu,et al.  Automatic mood detection from acoustic music data , 2003, ISMIR.

[15]  Yueting Zhuang,et al.  Popular music retrieval by detecting mood , 2003, SIGIR.

[16]  Tao Li,et al.  Detecting emotion in music , 2003, ISMIR.

[17]  P. Laukka,et al.  Communication of emotions in vocal expression and music performance: different channels, same code? , 2003, Psychological bulletin.

[18]  Jeroen Breebaart,et al.  Features for audio and music classification , 2003, ISMIR.

[19]  Peter Knees,et al.  Artist Classification with Web-Based Data , 2004, ISMIR.

[20]  Guojun Lu,et al.  Determination of Perceptual Tempo of Music , 2004, CMMR.

[21]  Tao Li,et al.  Content-based music similarity search and emotion detection , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[22]  Jurrie Overgoor j. m. overgoor.  An evaluation method for audio beat detectors , 2006 .