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Research on the Clarinet Music Based on Big Data
Author(s) -
Peilong He
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/4/042034
Subject(s) - symphony , big data , meaning (existential) , mode (computer interface) , value (mathematics) , position (finance) , inheritance (genetic algorithm) , computer science , mozart , expression (computer science) , data science , art , literature , psychology , human–computer interaction , data mining , business , biochemistry , chemistry , finance , machine learning , gene , psychotherapist , programming language
The clarinet was evaluated by the famous composer Mozart as the instrument closest to the human voice. It is more active in the expression of music and occupies a certain position in the performance of the symphony. With the development of the social economy and application of information technology, big data technology is gradually integrated into every aspect of life. It will change people’s behaviour mode, thinking method and value concept, and it is bound to affect the inheritance, innovation and development of world music culture in the future. Starting from the background of the era of big data, this paper briefly introduces the meaning of big data and clarinet performance characteristics, and discusses the application of big data technology in music research in detail, to provide a reference for future music research.

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