舞者通过动作实时创作音乐，实现人与AI的双向共创。
Reimagining Dance: Real-time Music Co-creation between Dancers and AI
- 舞者动作驱动预录音乐片段智能拼接，生成连贯乐曲。
- 动作特征与音频特征间出现可测量的协同模式。
- 适合舞蹈表演者和即兴艺术创作者使用。
舞蹈表演传统上是动作追随音乐的单向关系。尽管人工智能在多个创意领域取得进展，其在舞蹈中的应用仍主要聚焦于从音乐生成编舞。本文提出一个系统，使舞者能通过自身动作动态塑造音乐环境。该多模态架构通过智能组合预录音乐片段，根据舞蹈动作生成连贯的音乐作品，建立舞者作为表演者与作曲者的双向创造伙伴关系。通过对表演数据的相关性分析，我们发现动作特征与音频特征之间存在涌现的互动模式。该方法重新定义了人工智能在表演艺术中的角色，使其成为可响应的合作者，拓展了专业舞蹈表演及更广泛人群即兴艺术表达的可能性。
原文摘要 · Abstract (English)
Dance performance traditionally follows a unidirectional relationship where movement responds to music. While AI has advanced in various creative domains, its application in dance has primarily focused on generating choreography from musical input. We present a system that enables dancers to dynamically shape musical environments through their movements. Our multi-modal architecture creates a coherent musical composition by intelligently combining pre-recorded musical clips in response to dance movements, establishing a bidirectional creative partnership where dancers function as both performers and composers. Through correlation analysis of performance data, we demonstrate emergent communication patterns between movement qualities and audio features. This approach reconceptualizes the role of AI in performing arts as a responsive collaborator that expands possibilities for both professional dance performance and improvisational artistic expression across broader populations.
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