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作 者:黄志方 申林[1] HUANG Chih Fang;SHEN Lin(Music College,Shanghai Normal University,Shanghai 200234,China;Department of Information Communications,Kainan University,Taiwan 33857,China)
机构地区:[1]上海师范大学音乐学院,上海200234 [2]开南大学信息学院,中国台湾33857
出 处:《复旦学报(自然科学版)》2019年第4期515-520,共6页Journal of Fudan University:Natural Science
基 金:the Ministry of Science and Technology,Taiwan, China,for financially supporting this research under MOST 107-2410-H-424-012,and 106-2410-H424-016
摘 要:本研究使用算法作曲系统生成位置音乐以及适当的事件音乐,音乐用于锻炼活动,包括跑步、骑自行车、去健身房等.采用佩戴系统来整合生物反馈数据,例如脑波仪和音乐数据,并将数据发送到用于自动音乐生成系统的网络服务器,实现音乐自动生成.包括和弦、旋律和鼓组数据在内的音乐功能将自动合成和调整,以满足设备使用者的需要.算法作曲合成系统还用于调整旋律参数,以将生物反馈数据与音乐特征相结合.最后,将脑波测量仪收集的数据作为听众的评价,通过整合完成自动音乐生成系统,为新开发的健康娱乐跨学科产业和音乐技术研究奠定基础.This research would generate the situated music with Algorithmic Composition(AC)system for the exercise activities including running,bicycling riding,going to a gym,etc.,with proper incident music.Therefore,it applies the wearing system to integrate the bio-feedback data,such as the brain wave meter and music data,to send the data to the web server for the automated music generative system.The music features including chord,melody,and drum set data will be synthesized and adjusted automatically,to fit the need of the exercise users.Algorithmic composition system is also used to adjust the melody parameters,to integrate the bio-feedback data with the music features.Finally,the brain wave meter is applied as the listeners evaluation,with the integration to complete the automated music generative system,for the newly developed interdisciplinary industrial of the health and entertainment with music technology research.
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