Rap-Style Commentary Generation in an Audience Participation Fighting Game

Thanat Jumneanbun, Marcel Wira, Pujana Paliyawan, R. Thawonmas, Kingkarn Sookhanaphibarn, Worawat Choensawat
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Abstract

This paper presents a rap-style commentary system for enhancing audience participation games. In this work, an audience participation fighting game played by two AI players is presented. This game has two unique features. The first is that commentaries are generated in a rap-style fashion. The second is AI-player strength adjustment based on chat messages from audiences-these chat messages also affect the abovementioned commentaries. Experimental results show that the proposed system significantly promotes audience experience.
玩家参与格斗游戏中的说唱风格评论生成
本文提出了一种提高观众参与性的说唱式解说系统。在这项工作中,呈现了一个由两个AI玩家玩的观众参与格斗游戏。这个游戏有两个独特的特点。首先,评论是以说唱风格的方式产生的。第二种是基于观众的聊天信息来调整ai玩家的实力——这些聊天信息也会影响上述评论。实验结果表明,该系统显著提升了观众体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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