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Studying Mutual Phonetic Influence with a Web-Based Spoken Dialogue System

机译：通过基于Web的口语对话系统研究相互语音影响

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摘要

This paper presents a study on mutual speech variation influences in a human-computer setting. The study highlights behavioral patterns in data collected as part of a shadowing experiment, and is performed using a novel end-to-end platform for studying phonetic variation in dialogue. It includes a spoken dialogue system capable of detecting and tracking the state of phonetic features in the user's speech and adapting accordingly. It provides visual and numeric representations of the changes in real time, offering a high degree of customization, and can be used for simulating or reproducing speech variation scenarios. The replicated experiment presented in this paper along with the analysis of the relationship between the human and non-human interlocutors lays the groundwork for a spoken dialogue system with personalized speaking style, which we expect will improve the naturalness and efficiency of human-computer interaction.
机译：本文提出了在人机环境中相互语音变异影响的研究。这项研究突出了作为遮蔽实验一部分而收集的数据中的行为模式，并使用新颖的端对端平台来研究对话中的语音变化来进行。它包括一个语音对话系统，该系统能够检测和跟踪用户语音中语音特征的状态并相应地进行调整。它提供实时变化的视觉和数字表示，提供高度定制化，可用于模拟或重现语音变化场景。本文提出的重复实验以及对人类和非人类对话者之间关系的分析为具有个性化说话风格的口语对话系统奠定了基础，我们希望它将提高人机交互的自然性和效率。

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