低音调语音状噪声的声音掩蔽改善了社交机器人在嘈杂环境中的谈话效果

Hamed Pourfannan, Hamed Mahzoon, Y. Yoshikawa, Hiroshi Ishiguro
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摘要

简介近年来,在嘈杂的公共场所使用社交机器人提供信息、劝说和娱乐的情况激增。考虑到噪音对人类认知的负面影响,人们引入了掩蔽声音。从原理上讲,掩蔽声音的作用是降低干扰性背景声音的可懂度,从而减少干扰。然而,减少干扰的代价是增加烦扰和降低掩蔽声音使用者的认知能力:方法:先前的一项研究表明,降低作为掩蔽声音的言语状噪音的基频可显著降低其烦扰性并提高其效率。在这项研究中,对在嘈杂的鸡尾酒会环境中聆听社交机器人演讲的受试者的表现进行了测试,检验了所提议的掩蔽声音的有效性:结果表明,在不利的听力条件下,掩蔽声音的存在明显提高了听讲者的语音理解能力、感知可理解性、声音满意度和声音隐私性:据作者所知,以前还没有研究过声音掩蔽技术在人机交互设计中的应用。本文讨论了这一趋势的未来发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sound masking by a low-pitch speech-shaped noise improves a social robot’s talk in noisy environments
Introduction: There has been a surge in the use of social robots for providing information, persuasion, and entertainment in noisy public spaces in recent years. Considering the well-documented negative effect of noise on human cognition, masking sounds have been introduced. Masking sounds work, in principle, by making the intrusive background speeches less intelligible, and hence, less distracting. However, this reduced distraction comes with the cost of increasing annoyance and reduced cognitive performance in the users of masking sounds.Methods: In a previous study, it was shown that reducing the fundamental frequency of the speech-shaped noise as a masking sound significantly contributes to its being less annoying and more efficient. In this study, the effectiveness of the proposed masking sound was tested on the performance of subjects listening to a lecture given by a social robot in a noisy cocktail party environment.Results: The results indicate that the presence of the masking sound significantly increased speech comprehension, perceived understandability, acoustic satisfaction, and sound privacy of the individuals listening to the robot in an adverse listening condition.Discussion: To the knowledge of the authors, no previous work has investigated the application of sound masking technology in human-robot interaction designs. The future directions of this trend are discussed.
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