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A single-port non-parametric model of turn-taking in multi-party conversation

机译:多方对话中的单端口非参数转弯模型

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The taking of turns to speak is an intrinsic property of conversation. It is expected that models of taking turns, providing a prior distribution over conversational form, can reduce the perplexity of what is attended to and processed by spoken dialogue systems. We propose a single-port model of multi-party turn-taking which allows conversants to behave independently but to condition their behavior on the past of the entire group. The model performs at least as well as an existing multi-port model on perplexity over subsequent speech activity. We quantify the effect of longer histories and more distant future horizons, and argue that the framework has the potential to inform the design and behavior of spoken dialogue systems.
机译:轮流说话是谈话的内在属性。可以预期,轮流提供在对话形式上的优先分配的模型可以减少口头对话系统所处理和处理的问题的复杂性。我们提出了一种多方转向的单端口模型,该模型允许对话者独立地行为,但可以根据整个团队的过去来限制他们的行为。该模型在后续语音活动的困惑度方面至少具有与现有多端口模型一样好的性能。我们量化了更长的历史和更遥远的未来视野的影响,并认为该框架具有为口语对话系统的设计和行为提供信息的潜力。

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