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Self-Psychological Control and Creativity of Music Creation in Multimusic Environment.

This study aimed to solve the difficulties in the research of self-psychology, three executive controls, and creativity in multimusic environment. In today's teaching and performance, the study of piano adaptation has practical significance in broadening artistic vision, improving performance techno...

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Published in:Journal of Environmental & Public Health pp. 1 - 11
Main Author: Xu, Caihong
Format: research Journal Article
Published: Wiley-Blackwell 7/8/2022
Online Access:View this record in EBSCOhost
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        16879805
        9034
      jtl: Journal of Environmental & Public Health
      issn: 16879805
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    pubinfo:
      dt: 7/8/2022
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        157895958
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        NLM35844950
        157895958
        10.1155/2022/7849909
        NLM35844950
        157895958
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      tig:
        atl: Self-Psychological Control and Creativity of Music Creation in Multimusic Environment.
      aug:
        au: Xu, Caihong
        affil: The Department of Music, Yuncheng University, Yuncheng, Shanxi, China
      sug:
        subj:
          Music
          Creativeness
      ab: This study aimed to solve the difficulties in the research of self-psychology, three executive controls, and creativity in multimusic environment. In today's teaching and performance, the study of piano adaptation has practical significance in broadening artistic vision, improving performance technology, and training symphonic music thinking. A research method of self-psychological three executive controls and creativity generation for creation in multimusic environment is proposed. A computer composition algorithm is based on the hidden Markov model and interactive genetic algorithm. By integrating melody elements and rhythm into the traditional Markov model with only notes or rhythm as the unit, a new hidden Markov music prediction model is established, and the interactive genetic algorithm is used to optimize the music segments. Simulation results show that the algorithm can use a small dataset to quickly create music clips with certain melody logic and in line with users' personality. It is proved that the method based on the hidden Markov model and interactive genetic algorithm can meet the research needs of self-psychological three execution control and creativity generation in multimusic environment.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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