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The Weight Decision of Multi-dimensional Features using Fuzzy Similarity Relations and Emotion-Based Music Retrieval
퍼지 유사관계를 이용한 다차원 특징들의 가중치 결정과 감성기반 음악검색

Jee-Hye Lim, Joon-Whoan Lee
2011 Journal of Korean institute of intelligent systems  
Being digitalized, the music can be easily purchased and delivered to the users. However, there is still some difficulty to find the music which fits to someone's taste using traditional music information search based on musician, genre, tittle, album title and so on. In order to reduce the difficulty, the contents-based or the emotion-based music retrieval has been proposed and developed. In this paper, we propose new method to determine the importance of MPEG-7 low-level audio descriptors
more » ... dio descriptors which are multi-dimensional vectors for the emotion-based music retrieval. We measured the mutual similarities of musics which represent a pair of emotions expressed by opposite meaning in terms of each multi-dimensional descriptor. Then rough approximation, and inter-and intra similarity ratio from the similarity relation are used for determining the importance of a descriptor, respectively. The set of weights based on the importance decides the aggregated similarity measure, by which emotion-based music retrieval can be achieved. The proposed method shows better result than previous method in terms of the average number of satisfactory musics in the experiment emotion-based retrieval based on content-based search.
doi:10.5391/jkiis.2011.21.5.637 fatcat:q2fjp3ncqvcqbkriqtkhiey2su