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首页> 外文会议>Moratuwa Engineering Research Conference >Attention level approximation of a conversation in human-robot vocal interaction using prosodic features of speech
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Attention level approximation of a conversation in human-robot vocal interaction using prosodic features of speech

机译：使用言语语音韵律特征的人体机器人声乐互动对话的关注水平逼近

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With the widespread use of robots and integration of robots into the daily human life, the communication abilities of the robots are highlighted in order to ensure smooth interaction. Domestic robots with conversation capabilities are getting an increasing demand due to the fact that modern lifestyles are driving elderly community into isolation. One of the requirements of a conversation system is to ensure that all the people involved are interested in carrying out the conversation. Humans use various physical parameters in order to determine the interest level of the speaker to ensure the conversation is interesting for both parties. The interest level estimation can be used by the robot as a form of feedback to evaluate the effectiveness of the conversation system. In order to evaluate the attention level of the user a system using the prosodic features of speech is proposed. Prosodic features can be associated with the auditory and acoustic measures. These features are important in indicating emotions and attitudes of the speaker. By using the proposed system the robot will be able to determine the interest level using the responses given by the user to the robot by analyzing the prosodic parameters of the vocal response.
机译：随着机器人的广泛使用和机器人集成到日常人体生命中，突出了机器人的通信能力，以确保平滑的相互作用。由于现代生活方式驾驶老年社区孤立而导致的国内机器人正在越来越越来越大。对话系统的要求之一是确保所涉及的所有人都有兴趣执行对话。人类使用各种物理参数来确定扬声器的兴趣级别，以确保对话对双方感兴趣。机器人可以使用利息级别估计作为评估对话系统的有效性的反馈形式。为了评估用户使用韵律特征的用户的注意力水平。韵律特征可以与听觉和声学措施相关联。这些特征对于表明扬声器的情绪和态度很重要。通过使用所提出的系统，机器人将能够通过分析声学响应的韵律参数来使用用户给出的响应来确定利息级。

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