在人形机器人上用双耳声学信号估计扬声器方向
Pranav Barot1, Katja Mombaur1,2, Ewen N MacDonald1
1Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada.
PloS one
|January 2, 2024
概括
这项研究优化了人形机器人的到达方向 (DOA) 估计,通过准确地定位实时的人类交谈者,实现了更好的人机交互. 该方法增强了机器人语音交互能力.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人与机器人的交互
- 声学信号处理 声学信号处理
背景情况:
- 人形机器人需要精确地定位人类说话者,以进行自然语音交互.
- 现有的到达方向 (DOA) 估计方法可能不适合实时的人机交互 (HRI).
研究的目的:
- 为优化对人形机器人双耳声源声源定位中DOA估计的参数.
- 评估优化方法,考虑实时HRI约束和延迟.
主要方法:
- 在一个人形机器人头上实现了双耳声源本地化框架.
- 参数优化是使用原始力和基于贝叶斯模型的方法进行的.
- 收集了现实世界的数据,并为验证进行了注释.
主要成果:
- 该研究验证并讨论了参数优化技术的结果.
- 研究了DOA估计优化对实时应用程序延迟的影响.
结论:
- 优化的DOA估计参数提高了人形机器人定位人类交谈者的能力.
- 提出的方法适用于实时的人机交互场景,增强自然性.
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