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Implementation of an Auditory Feedback Control System on an Anthropomorphic Flutist Robot Inspired on the Performance of a Professional Flutist

机译:灵感来自于专业长笛演奏者的演奏的拟人长笛演奏者听觉反馈控制系统的实现

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Up to now, different kinds of musical performance robots (MPRs) have been developed. MPRs are designed to closely reproduce the required motor skills displayed by humans in order to play musical instruments. Our research at Waseda University has been focused on developing an anthropomorphic flutist robot. As a result of our research, the Waseda Flutist Robot No. 4 Refined IV (WF-4RIV) has been designed to mechanically reproduce the human organs involved during a flute-playing performance. Although the WF-4RIV is able to play the flute nearly similar to the performance of an intermediate player, further improvements in terms of cognitive capabilities are still required (i.e., autonomously improve the quality of the sound during performance based on the sound processing). For this purpose, in this paper, we present the implementation of an Auditory Feedback Control System (AFCS) designed to enable the flutist robot to analyze the flute sound during a performance (in a similar way professional flutists practice before a performance is held). The AFCS is composed of three subsystems (which are detailed in this paper): WF-4RIV's Control System, Expressive Music Generator and Pitch Evaluation System. A set of experiments was proposed to verify the effectiveness of the proposed AFCS to control the air pressure and to detect/correct faulty notes during a performance. From the experimental results, we confirm the improvements on the flute sound produced by the robot.
机译:到目前为止,已经开发了各种音乐演奏机器人(MPR)。 MPR旨在紧密复制人类演奏乐器所需的运动技能。我们在早稻田大学的研究重点是开发拟人的长笛演奏机器人。作为我们研究的结果,早稻田长笛演奏家No. 4精制IV(WF-4RIV)旨在机械再现长笛演奏过程中涉及的人体器官。尽管WF-4RIV演奏长笛的能力几乎类似于中级演奏者的演奏,但仍需要在认知能力方面进行进一步的改进(即,基于声音处理在演奏过程中自主提高声音的质量)。为此,在本文中,我们介绍了一种听觉反馈控制系统(AFCS)的实现,该系统旨在使长笛演奏者机器人能够在表演过程中分析长笛声(以类似的方式,在演奏会举行之前专业长笛演奏者进行练习)。 AFCS由三个子系统组成(本文将对其进行详细介绍):WF-4RIV的控制系统,表情音乐生成器和音高评估系统。提出了一组实验,以验证所提出的AFCS在演奏过程中控制气压和检测/纠正故障音符的有效性。从实验结果,我们确认了机器人产生的长笛声音的改进。

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