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Interactive improvisation with a robotic marimba player

机译:与机器人马林巴舞者互动即兴演奏

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Shimon is a interactive robotic marimba player, developed as part of our ongoing research in Robotic Musicianship. The robot listens to a human musician and continuously adapts its improvisation and choreography, while playing simultaneously with the human. We discuss the robot's mechanism and motion-control, which uses physics simulation and animation principles to achieve both expressivity and safety. We then present an interactive improvisation system based on the notion of physical gestures for both musical and visual expression. The system also uses anticipatory action to enable real-time improvised synchronization with the human player. We describe a study evaluating the effect of embodiment on one of our improvisation modules: antiphony, a call-and-response musical synchronization task. We conducted a 3×2 within-subject study manipulating the level of embodiment, and the accuracy of the robot's response. Our findings indicate that synchronization is aided by visual contact when uncertainty is high, but that pianists can resort to internal rhythmic coordination in more predictable settings. We find that visual coordination is more effective for synchronization in slow sequences; and that occluded physical presence may be less effective than audio-only note generation. Finally, we test the effects of visual contact and embodiment on audience appreciation. We find that visual contact in joint Jazz improvisation makes for a performance in which audiences rate the robot as playing better, more like a human, as more responsive, and as more inspired by the human. They also rate the duo as better synchronized, more coherent, communicating, and coordinated; and the human as more inspired and more responsive.
机译:Shimon是交互式马林巴舞者,是我们在机器人音乐学方面正在进行的研究的一部分。机器人会聆听人类音乐家的声音,并在与人类同时演奏的同时不断适应即兴演奏和编舞。我们讨论了机器人的机制和运动控制,它们使用物理模拟和动画原理来实现表现力和安全性。然后,我们基于音乐和视觉表达的物理手势概念提出了一种交互式即兴系统。该系统还使用预期动作来实现与人类玩家的实时即兴同步。我们描述了一项评估,该研究评估了实施对我们即兴模块之一的影响:对音,呼叫响应音乐同步任务。我们进行了3×2的主题内研究,以控制实施水平和机器人响应的准确性。我们的发现表明,在不确定性较高的情况下,视觉接触有助于同步,但钢琴家可以在更可预测的环境中诉诸内部节奏协调。我们发现视觉协调对于慢速序列的同步更有效。并且被遮挡的物理状态可能不如纯音符生成有效。最后,我们测试了视觉接触和体现对观众欣赏的影响。我们发现,爵士乐即兴创作中的视觉接触可以使观众对机器人的演奏表现得更好,更像人类,响应更快,更受人类启发。他们还对二人组的同步性,连贯性,沟通性和协调性进行了评价。和人类一样,受到更多的启发和反应。

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