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Head motion during dialogue speech and nod timing control in humanoid robots

机译:人形机器人对话语音期间的头部运动和点头定时控制

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Head motion naturally occurs in synchrony with speech and may carry paralinguistic information, such as intention, attitude and emotion, in dialogue communication. With the aim of verifying the relationship between head motion and the dialogue acts carried by speech, analyses were conducted on motion-captured data for several speakers during natural dialogues. The analysis results first confirmed the trends of our previous work, showing that regardless of the speaker, nods frequently occur during speech utterances, not only for expressing dialogue acts such as agreement and affirmation, but also appearing at the last syllable of the phrase, in strong phrase boundaries, especially when the speaker is talking confidently, or expressing interest in the interlocutor's talk. Inter-speaker variability indicated that the frequency of head motion may vary according to the speaker's age or status, while intra-speaker variability indicated that the frequency of head motion also differs depending on the inter-personal relationship with the interlocutor. A simple model for generating nods based on rules inferred from the analysis results was proposed and evaluated in two types of humanoid robots. Subjective scores showed that the proposed model could generate head motions with naturalness comparable to the original motions.
机译:头部动作自然会与语音同步发生,并且可能在对话交流中携带意向,态度和情感等副语言信息。为了验证头部动作与语音进行的对话动作之间的关系,在自然对话期间对多个说话者的动作捕捉数据进行了分析。分析结果首先证实了我们先前工作的趋势,表明无论说话者是谁,讲话时经常会点头,这不仅是为了表达诸如同意和肯定之类的对话行为,而且还出现在短语的最后一个音节中。强烈的词组界限,尤其是当说话者自信地讲话或对对话者的讲话表达兴趣时。说话者之间的可变性表明头部运动的频率可能根据说话者的年龄或状态而变化,而说话者内部的可变性表明头部运动的频率也根据与对话者之间的人际关系而不同。提出了一种基于分析结果得出的规则生成点头的简单模型,并在两种类人机器人中对其进行了评估。主观得分表明,所提出的模型可以产生与原始动作相当自然的头部动作。

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