In This Section
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Reflecting on Reflections - June 2014
AES Convention Papers Forum
Music and Emotions: A Comparison of Measurement Methods
Music emotion recognition (MER) as a part of music information retrieval (MIR), examines the question which parts of music evoke what emotions and how can they be automatically classified. Classification systems need to be trained in terms of feature selection and prediction. Due to the subjectivity of emotions, the generation of appropriate ground truth data poses challenges for MER. This paper describes obstacles of defining and measuring emotions evoked by music. Two methods, in principle able to overcome problems in measuring affective states induced by music, are outlined and their results are compared. Although the results of both methods are in line with psychological theories of emotions, the question remains how good the perceived emotions are captured by either method and if these methods are sufficient for ground truth generation.
No AES members have commented on this paper yet.
Subscribe to this discussion
Start a discussion!
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.