论文标题
情感音乐韵律：经过验证的人类机器人互动的人声数据集
Emotional Musical Prosody: Validated Vocal Dataset for Human Robot Interaction
论文作者
论文摘要
人类与机器人技术的合作取决于人与机器人之间关系的发展，没有哪种绩效和利用可以降低。情绪和人格运输已被证明可以增强机器人的合作，并改善了人类机器人的关系并提高了信任。人造代理传达情绪的一种探索方式是通过非语言音乐韵律。在这项工作中，我们介绍了一个新的4.2小时数据集，该数据集基于日内瓦的情感轮，即简易的情感声音。该数据集已通过广泛的听力测试进行了验证，并显示了在生成系统中使用的有希望的初步结果。
Human collaboration with robotics is dependant on the development of a relationship between human and robot, without which performance and utilization can decrease. Emotion and personality conveyance has been shown to enhance robotic collaborations, with improved human-robot relationships and increased trust. One under-explored way for an artificial agent to convey emotions is through non-linguistic musical prosody. In this work we present a new 4.2 hour dataset of improvised emotional vocal phrases based on the Geneva Emotion Wheel. This dataset has been validated through extensive listening tests and shows promising preliminary results for use in generative systems.
