Music can speak for you: making music with a deep net partner

该项目旨在开发和评估一种新的计算伙伴，以帮助作曲家和非音乐家制作个人音乐。一个计算组件学习输出音乐结构，另一个组件朝着用户期望的特征塑造，同时鼓励创新和探索。听众对音乐输出的影响评估将被分析，这可能使我们能够大大扩展当前的音乐生成软件。预期的成果将成为音乐家的工具，但也适用于未经训练的人，年轻人和老年人，使这些未经训练的人能够制作个性化的音乐。因此，该工具可以为创造性艺术以及教育和福利支持部门带来好处。

This project aims to develop and evaluate a novel computational partner to aid composers and non-musicians to make personal music. One computational component learns to output musical structures that another component moulds towards user-desired features while encouraging innovation and exploration. Listeners’ evaluation of the musical outputs in terms of affect will be analysed, potentially allowing us to extend current music generation software considerably. The expected outcomes will be a tool for musicians, but also for untrained people, young and older, allowing such untrained people to make personalized music. The tool can thus provide benefits to the creative arts, and to the educational and wellbeing support sectors.