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Design and development of a new biologically-inspired mouth mechanism and musical performance evaluation of the WF-4RVI

机译:新型生物启发嘴机制的设计和开发以及WF-4RVI的音乐演奏评估

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The research on the development of the anthropomorphic flutist robot at Waseda University has been focused in emulating the anatomy and physiology of the organs involved during the flute playing from an engineering point of view, facilitating the symbiosis between the human and the robot (i.e. active interaction between musician and musical robot) and proposing novel applications for humanoid robots (i.e. music education). As a result of this research, the Waseda Flutist Robot No.4 Refined IV has been developed and a musical-based interaction system implemented so the robot is capable of interacting with musicians by processing both aural and visual cues. However; there is a trade-off relationship between the duration of the flute sound produced by the robot and the sound pressure (volume). In fact, the robot is only capable of playing sounds low-pitched sounds for long periods. In addition, a husky sound is detected while playing high-pitch sounds. From our discussions with professional players, this effect is caused due to the inner shape of the oral cavity. From this, the conversion efficiency ratio between from the exhaled air from the artificial lungs to the produced sound is too low. For this purpose, we have obtained MR images of the head from professional players in order to re-design the oral cavity of the flutist robot. A total of 5 prototypes were tested and the best one has been selected and integrated into the Waseda Flutist Robot No. 4 Refined VI (WF-4RVI). A set of experiments were proposed in order to verify the improvements of the conversion efficiency ratio as well as the sound evaluation function score. From the experimental results, we could verify the improvements compared with the previous version of the flutist robot.
机译:早稻田大学的拟人化长笛演奏机器人的开发研究集中在从工程学角度模拟长笛演奏过程中涉及的器官的解剖学和生理学,促进人与机器人之间的共生(即主动交互)。 (在音乐家和音乐机器人之间),并提出了类人机器人的新颖应用(即音乐教育)。这项研究的结果是,开发了早稻田Flutist No.4智能机器人IV,并实现了基于音乐的交互系统,因此该机器人能够通过处理听觉和视觉提示与音乐家进行交互。然而;在机器人产生的长笛声音的持续时间与声压(音量)之间存在折衷关系。实际上,机器人只能长时间播放低调的声音。另外,在播放高音时会检测到沙哑的声音。根据我们与专业运动员的讨论,这种效果是由于口腔的内部形状引起的。因此,从人工肺呼出的空气到所产生的声音之间的转换效率比太低。为此,我们从专业选手那里获得了头部的MR图像,以便重新设计长笛机器人的口腔。总共测试了5个原型,并选择了最好的一个原型,并将其集成到早稻田Flutist第4号精制VI机器人(WF-4RVI)中。为了验证转换效率比和声音评估功能得分的提高,提出了一组实验。从实验结果来看,我们可以验证与长笛机器人之前版本相比的改进。

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