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Making Music Composing Easier for Amateurs: A Hybrid Machine Learning Approach

机译:制作音乐作曲更容易对业余爱好者:混合机器学习方法

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36.1 Introduction Recent advances in computing technologies have led to major developments in musical technology. Many machine learning algorithms and human-computer interfaces have been developed to promise new perspectives into computer-assisted music composition. However, the substantive use of music technologies have been limited to music professionals. The full potential of music technology has yet to be unlocked to make playing and writing music accessible to musically untrained users, so music entertainment and education has yet to be promoted among the general population. Existing machines learning methods for composing music are not suitable for taking the input by amateur users into account while maintaining musical appropriateness. Supporting musical creativity of untrained people has important social implications and requires multi-disciplinary research in the interface of music technology, machine learning, and human-computer interactions.
机译:36.1简介计算技术的最近进步导致了音乐技术的主要发展。已经开发出许多机器学习算法和人机接口,以承诺进入计算机辅助音乐组成的新观点。然而,音乐技术的实质性使用仅限于音乐专业人士。音乐技术的全部潜力尚未被解锁,以便与音乐未经训练的用户一起使用和写作音乐,因此普通人群中尚未促进音乐娱乐和教育。用于撰写音乐的现有机器学习方法不适合在保持音乐适度的同时考虑业余用户的投入。支持未经培训的人的音乐创造力具有重要的社会影响,并且需要在音乐技术,机器学习和人机交互的界面中进行多学科研究。

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