基于脑电波芯片的自动化音乐创作系统

EEG Chip-based Algorithmic Music Composition

透过脑电波,藉以反应人脑的思考状态,并透过研究中所设定的机制,将使用者的脑波自动转换生成音乐,以表达当时用户的情感。本研究除了运用微电脑研发一套可携式脑电波设备,并整合计算机音乐软件,采用随机音乐之概念,以中国传统五声音阶作为原始音乐素材,并运用纯律系统,籍由脑波传感器拾取测试对象的脑波进行调制,透过音乐节奏参数与脑波参数的对应关系,得到合理的结果。最后对无音乐基础的聆听者测试对象进行实验,并配合实验的问卷调查,从而论证没有受过音乐训练的人均可透过本研究之自动化音乐生成技术,产生可反映人们脑波的音乐,能使用户的情绪得到舒缓,未来将可应用于教育、疗愈与游戏娱乐之功能。

This research is mainly based on the EEG （Electroencephalographic） data to reflect human＇s thinking situation, via the proposed settings and mechanism, to transform the brainwave data into the generative music automatically, in order to express the user＇s emotion. This research not only uses microcomputer to develop a set of portable EEG equipment, but also integrates computer music software, to generate the randomized music with traditional Chinese pentatonic scale as the raw material. The just intonation system is also adopted to perform the brainwave music transformation, with the mapping relationship between the brainwave of sub- ject listener and music features, to obtain a reasonable result. Finally a questionnaire for the non-musicians has been performed, to prove that the people without music training can accept the proposed automated music composition from the brainwave, to alleviate user＇s mood. Hopefully it can be applied into the fields including education, healing, and gaming entertainment.