用语料库模仿风格，交互式生成西乐乐句的工具
Apollo: An Interactive Environment for Generating Symbolic Musical Phrases using Corpus-based Style Imitation
- 基于语料库学习风格，交互生成符号化音乐短句
- 支持乐句生成、导出或流媒体传输，适配创作流程
- 适合作曲家和研究者快速试错与风格实验
随着机器智能与网络技术的发展，基于机器学习的辅助作曲系统在网页端不断涌现。这类系统涵盖旋律、和声、节奏生成、音乐插值、续写与风格模仿等多种任务。本文介绍Apollo，一个交互式音乐应用，通过基于语料库的风格模仿技术，生成符合西方传统音乐规范的符号化乐句。系统支持符号化音乐语料库的构建与管理，使音乐创作者与研究人员能够以指定语料风格生成新乐句。该系统为桌面应用程序，生成的音乐以MIDI格式编码，可导出或实时流传，适用于作为项目初始素材。本文阐述系统设计与实现细节，并讨论未来发展方向。
原文摘要 · Abstract (English)
With the recent developments in machine intelligence and web technologies, new generative music systems are being explored for assisted composition using machine learning techniques on the web. Such systems are built for various tasks such as melodic, harmonic or rhythm generation, music interpolation, continuation and style imitation. In this paper, we introduce Apollo, an interactive music application for generating symbolic phrases of conventional western music using corpus-based style imitation techniques. In addition to enabling the construction and management of symbolic musical corpora, the system makes it possible for music artists and researchers to generate new musical phrases in the style of the proposed corpus. The system is available as a desktop application. The generated symbolic music materials, encoded in the MIDI format, can be exported or streamed for various purposes including using them as seed material for musical projects. We present the system design, implementation details, discuss and conclude with future work for the system.
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