通过低调的语音形状噪音掩盖声音,改善了社交机器人的在杂环境中的谈话
Hamed Pourfannan1, Hamed Mahzoon2, Yuichiro Yoshikawa1
1Intelligent Robotics Laboratory (Hiroshi Ishiguro's Laboratory), Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Frontiers in robotics and AI
|January 24, 2024
概括
这项研究表明,一种新的掩盖声音显著改善了语音理解和在杂环境中听社交机器人时的用户满意度. 这项技术通过减少分心而不会增加烦来增强人机交互.
科学领域:
- 人与机器人的交互
- 声学工程 声学工程
- 认知心理学 认知心理学
背景情况:
- 社会机器人越来越多地用于公共空间,但噪音会对人类认知产生负面影响.
- 掩盖声音可以减少分心,但可以增加烦并降低认知表现.
- 以前的研究表明,减少语音噪声的基本频率可以提高其效率并减少烦.
研究的目的:
- 为了评估修改后的掩盖声音在提高性能和用户体验方面的有效性.
- 在人机交互场景中测试掩盖声音对语音理解和用户满意度的影响.
- 探索声掩技术在社会机器人技术中的应用.
主要方法:
- 一项研究使用社交机器人在杂的尾酒会环境中演讲.
- 参与者在有或没有被提议的掩盖声音的情况下听了讲座.
- 性能指标包括语音理解,感知可理解性,声学满意度和声音隐私.
主要成果:
- 与没有掩饰相比,掩饰声音显著改善了语音理解.
- 参与者报告说,当掩盖声音存在时,他们感觉到更高的可理解性和声学满意度.
- 在不利的听力条件下使用掩盖声音也增强了声音隐私.
结论:
- 修改后的掩盖声音有效地改善了在杂环境中的人机交互.
- 这项技术为增强社交机器人的用户体验提供了一个有希望的解决方案.
- 需要进一步的研究来探索声掩饰在人机交互设计中的未来方向.
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