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首页> 外文期刊>WSEAS Transactions on Information Science and Applications >A Corpus for Investigating the Multimodal Nature of Multi-Speaker Spontaneous Conversations - EVA Corpus
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A Corpus for Investigating the Multimodal Nature of Multi-Speaker Spontaneous Conversations - EVA Corpus

机译:调查多扬声器自发谈话的多模式性质的语料库 - EVA语料库

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摘要

Multimodality and multimodal communication is a rapidly evolving research field addressed by scientists working in various perspectives, from psycho-sociological fields, anthropology and linguistics, to communication and multimodal interfaces, companions, smart homes and ambient assisted living etc. Multimodality in human-machine interaction is not just an add-on or a style of information representation. It goes well beyond semantics and semiotic artefacts. It can significantly contribute to representation of the information as well as in interpersonal and textual function of communication. The study in this paper is a part of an ongoing effort in order to empirically investigate in detail relations between verbal and co-verbal behavior expressed during multi-speaker highly spontaneous and live conversations. It utilizes a highly multimodal approach for investigating into relations between the traditional linguistic (such as: paragraphs, sentences, sentence types, words, POS tags etc.) and prosodic features (such as: phrase breaks, prominence, durations, and pitch), and paralinguistic features traditionally interpreted as non-verbal communication or co-verbal behavior (such as: dialog role, semiotic classification of behavior, emotions, facial expressions, head movement, gaze, and hand gestures). The main motivation for this study is to be able to understand especially the informal nature of human-human communication, and to create co-verbal resources for automatic synthesis of highly natural co-verbal behavior from un-annotated text and expressed through embodied conversational agents. The EVA corpus designed by a novel EVA annotation scheme represents a rich empirical resource for performing such studies in conversational phenomena that manifest themselves in highly spontaneous face-to-face conversations. A preliminary analysis regarding emotions within conversations has been also conducted and presented in the paper.
机译:多模和多模式通信是由科学家在各种角度工作的快速发展的研究领域,从心理学 - 社会学领域,人类学和语言学,通信和多式联合界面,同伴,智能家庭和环境辅助生活等人机互动中的多模不仅仅是加载项或信息表示样式。它超越了语义和符号艺术品。它可以显着促进信息的表达以及通信的人际和文本函数。本文的研究是持续努力的一部分,以便在多扬声器高度自发性和实时对话期间表达口头和共同言语行为之间的细节关系。它利用高度多态方法来调查传统语言之间的关系(例如:段落,句子,句子类型,单词,POS标签等)和韵律特征(例如:短语打破,突出,持续时间和音高),和语言特征传统上被解释为非口头沟通或共同言语行为(例如:对话角色,行为,情绪,面部表情,头部运动,凝视和手势的符号分类。本研究的主要动机是能够理解人类通信的非正式性质,并为自动综合从未注释的文本自动合成高度自然的共言语行为,并通过体现的会话代理表达。由新型EVA注释计划设计的EVA语料库代表了一种丰富的经验资源,用于在充满自发的面对面对话中表现出来的会话现象的这些研究。还在论文中进行并介绍了对谈话中情绪的初步分析。

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