智能家居语音指令自适应决策系统的初步研究

2016 12th International Conference on Intelligent Environments (IE) Pub Date : 2016-09-14 DOI:10.1109/IE.2016.49

Alexis Brenon, François Portet, Michel Vacher

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引用次数: 5

摘要

在智能家居中，预测和决策通常是先验定义的，需要用户进行调整，这可能既繁琐又复杂。然而，这些智能家居有能力分析用户的行为，从而自动调整他们的决策。我们提出了一项初步研究，测试了一个基于语音的家庭决策系统，该系统通过强化学习进行了修改。该系统运行在一个真实的语料库上，显示了这种适应的趣味性。

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Preliminary Study of Adaptive Decision-Making System for Vocal Command in Smart Home

In smart homes, prediction and decision are often defined a priori and require tuning from the user, which can be tedious, and complex. However, these smart homes have the ability to analyze the user's behavior so as to adapt their decisions automatically. We present a preliminary study that tests a voice based decision system in the home, which is modified by reinforcement learning. The system ran on a realistic corpus, which shows the interest of such an adaptation.

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2016 12th International Conference on Intelligent Environments (IE)

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