Human-like Spoken Dialog System

在这项研究中，我们研究了如何对话节奏影响用户的舒适性和可靠性，并提出了一个新的框架，建立在这个框架的基础上的口语界面。虽然我们证实了用户的满意度和会话的流畅性有所提高，但我们还没有达到人与人对话的自然程度。为了实现这一点，我们改进了我们的节奏对话生成模型，并将其重新实现到系统中，提高了处理速度。结果，我们比以前的系统更接近于人，更可靠。但由于我们的系统的时间识别性能水平、语音识别和语言理解性能水平不完善，我们无法达到与人类相似的评价。

In this research we study how dialog rhythm influences user's comfort and reliability and propose a new framework for building spoken interfaces based on this framework. Although we confirmed user's increased satisfaction and smoothness of conversation, we have not reached the level of naturalness of human to human dialog.To achieve this we have improved our model for generating rhythmical dialogs, re-implemented it into the system and increased processing speed.In result, we achieved better human-likeness and reliability comparing to the previous system, but we could not reach evaluation similar to human's as our system's timing recognition performance level, voice recognition and language understanding performance levels were imperfect.