论文标题
流行音乐创作的互动音乐填充界面
An interactive music infilling interface for pop music composition
论文作者
论文摘要
人工智能（AI）已被广泛应用于音乐发电主题，例如延续，旋律/和谐，流派转移和音乐填充应用程序。尽管由于将AI应用于音乐的兴趣爆发，但音乐家仍然很少有接口可以利用AI技术的最新进展。这使得这些工具在实践中的价值不那么有价值，并且很难在不利用这些工具的情况下找到其优势/缺点。这项工作为交互式音乐填充应用程序建立了最大补丁，并具有不同的控制级别，包括轨道密度/复音/职业率和条形色调控制。用户可以选择旋律/低音/和声轨道作为最多16个bar的填充内容。填充算法基于作者以前的工作，接口将消息发送/接收到托管在云中的AI系统。该接口降低了AI技术的障碍，并且可以产生所选内容的不同变化。这些结果可以为音乐家的构图提供多种替代方法，并且交互式过程实现了AI填充系统的价值。
Artificial intelligence (AI) has been widely applied to music generation topics such as continuation, melody/harmony generation, genre transfer and music infilling application. Although with the burst interest to apply AI to music, there are still few interfaces for the musicians to take advantage of the latest progress of the AI technology. This makes those tools less valuable in practice and harder to find its advantage/drawbacks without utilizing them in the real scenario. This work builds a max patch for interactive music infilling application with different levels of control, including track density/polyphony/occupation rate and bar tonal tension control. The user can select the melody/bass/harmony track as the infilling content up to 16 bars. The infilling algorithm is based on the author's previous work, and the interface sends/receives messages to the AI system hosted in the cloud. This interface lowers the barrier of AI technology and can generate different variations of the selected content. Those results can give several alternatives to the musicians' composition, and the interactive process realizes the value of the AI infilling system.
