首页> 外文会议>Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on >The anthropomorphic flutist robot WF-4R: from mechanical to perceptual improvements
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The anthropomorphic flutist robot WF-4R: from mechanical to perceptual improvements

机译:拟人长笛演奏机器人WF-4R:从机械到感性的改进

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One of the earliest motivations for developing humanoid robots centered on creating robots that may coexist with humans in environments created for human beings. For several years, at Waseda University, the development of the anthropomorphic flutist player has been focused on improving the musical interaction between the human and the robot to clarify the human flute playing and to propose novel assisted music teaching tools. In this paper, a new architecture for autonomously transferring skills from robot to human using the flutist robot is introduced. Furthermore, the new version of the flutist robot, the WF-4R (Waseda Flutist No.4 Refined) is presented; where the arm system was added to assure the positioning accuracy of the flute and the development of a melody recognition system to enable the robot to interact with students at the same logical level of perception. An experimental setup has been performed in order to verify the effectiveness of both mechanical and perceptual systems. As a result, using the arms system, we have assured the repetitiveness of the flute positioning. Furthermore, the implemented music recognition system was able to recognize the melody of flutist players (an overall recognition rate of 90%); demonstrating that HMM (usually used for speech recognition) is also effective for flute melody identification.
机译:开发类人机器人的最早动机之一是在创建为人类创造的环境中创建可以与人类共存的机器人。多年来,早稻田大学的拟人长笛演奏者的开发一直致力于改善人与机器人之间的音乐互动,以阐明人笛演奏并提出新颖的辅助音乐教学工具。在本文中,介绍了一种使用长笛演奏机器人将技能从机器人自动转移到人类的新体系结构。此外,还推出了新型长笛演奏机器人WF-4R(早稻田长笛演奏家No.4精制版);其中添加了手臂系统以确保长笛的定位精度,并开发了旋律识别系统,以使机器人能够以相同的逻辑感知水平与学生互动。为了验证机械系统和感知系统的有效性,已经进行了实验设置。结果,使用臂架系统,我们确保了长笛定位​​的重复性。此外,已实施的音乐识别系统能够识别长笛演奏者的旋律(总体识别率为90%);证明HMM(通常用于语音识别)对于长笛旋律识别也有效。

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