Research on Emotional Vocabulary-Driven Personalized Music Retrieval

Authors:
Bin Zhu;Tao Liu
Affiliations:
College of information science and technology, Zhejiang Shuren University, Hangzhou, P.R. China 310015;College of computer science and technology, Zhejiang University, Hangzhou, P.R. China 310027
Venue:
Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
Year:
2008

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Abstract

In this paper, aimed at emotional interactive needs in music retrieval, a new retrieval method, based on dynamic characteristics of fuzzy psychological and linguistic value computing of music emotion, is putting forward. And an improved interactive genetic algorithm is designed for the emotional retrieval goal. In order to reduce users' fatigue of retrieval process, choice operator for fine breed, crossover operator holding the dominant element of emotion vector, and self-genetic operation strategy are designed.