Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74900
Title: Who composes the music? Musicality evaluation for algorithmic composition via electroencephalography
Authors: Chen, G 
Keywords: Algorithmic composition
Electroencephalography
Evaluation
Issue Date: 2017
Publisher: Association for Computing Machinery, Inc
Source: MM 2017 - Proceedings of the 2017 ACM Multimedia Conference, 2017, p. 826-830 How to cite?
Abstract: It is very challenging to evaluate the creative work of artificial intelligence, such as algorithmic composition. Due to the nature of creativity, most existing criteria of music analysis, for example, similarity of the data, cannot be used directly to measure the quality of a new piece of music composed by computer. Subjective evaluation based on questionnaire lacks quantitative evaluation with solid evidence. To address these difficulties, this paper proposes a novel computational model combined with a novel psychological paradigm. Utilizing brain imaging techniques, the proposed evaluation method can provide reliable musicality score for machine-composed music.
Description: 25th ACM International Conference on Multimedia, MM 2017, Mountain View, CA, USA, 23-27 October, 2017
URI: http://hdl.handle.net/10397/74900
ISBN: 9781450349062
DOI: 10.1145/3123266.3123967
Appears in Collections:Conference Paper

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