论文标题
研究：日本同理心对话的语料库对友好的语音代理
STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent
论文作者
论文摘要
我们提出研究，这是一种新的演讲语料库，用于开发一个可以以友好方式讲话的语音代理。人类自然会控制他们的言语韵律以相互同情。通过将这种“同情对话”行为纳入口语对话系统，我们可以开发一个可以自然响应用户的语音代理。我们设计了研究语料库，以包括一个演讲者，他明确地对对话者的情感表示同情。我们描述了构建善解人意的对话语音语料库的方法论，并报告研究研究的分析结果。我们进行了一项文本到语音实验，以最初研究如何开发更多的自然语音代理，以调整与对话者情绪相对应的语言风格。结果表明，对话者的情感标签和对话环境嵌入的使用可以与使用代理商的情感标签相同的自然性产生语音。我们的研究项目页面是http://sython.org/corpus/studies。
We present STUDIES, a new speech corpus for developing a voice agent that can speak in a friendly manner. Humans naturally control their speech prosody to empathize with each other. By incorporating this "empathetic dialogue" behavior into a spoken dialogue system, we can develop a voice agent that can respond to a user more naturally. We designed the STUDIES corpus to include a speaker who speaks with empathy for the interlocutor's emotion explicitly. We describe our methodology to construct an empathetic dialogue speech corpus and report the analysis results of the STUDIES corpus. We conducted a text-to-speech experiment to initially investigate how we can develop more natural voice agent that can tune its speaking style corresponding to the interlocutor's emotion. The results show that the use of interlocutor's emotion label and conversational context embedding can produce speech with the same degree of naturalness as that synthesized by using the agent's emotion label. Our project page of the STUDIES corpus is http://sython.org/Corpus/STUDIES.
