论文标题
桌面角色扮演游戏的计算机生成音乐
Computer-Generated Music for Tabletop Role-Playing Games
论文作者
论文摘要
在本文中，我们提出了Bardo Composer，该系统是为桌面角色扮演游戏生成背景音乐的系统。 Bardo作曲家使用语音识别系统将播放器语音转化为文本，该文本是根据情感模型进行分类的。然后，Bardo Composer使用随机双视线梁搜索，这是我们在本文中介绍的随机光束搜索的一种变体，并使用神经模型来生成音乐作品，以传达所需的情感。我们对116名参与者进行了一项用户研究，以评估人们是否能够正确识别系统产生的作品中传达的情绪。在我们的研究中，我们使用了生成的作品，用于野外的呼唤，YouTube上可用的地牢和龙活动。我们的结果表明，人类受试者可以正确地确定产生的音乐作品的情感，因为他们能够识别人类写的作品的情感。
In this paper we present Bardo Composer, a system to generate background music for tabletop role-playing games. Bardo Composer uses a speech recognition system to translate player speech into text, which is classified according to a model of emotion. Bardo Composer then uses Stochastic Bi-Objective Beam Search, a variant of Stochastic Beam Search that we introduce in this paper, with a neural model to generate musical pieces conveying the desired emotion. We performed a user study with 116 participants to evaluate whether people are able to correctly identify the emotion conveyed in the pieces generated by the system. In our study we used pieces generated for Call of the Wild, a Dungeons and Dragons campaign available on YouTube. Our results show that human subjects could correctly identify the emotion of the generated music pieces as accurately as they were able to identify the emotion of pieces written by humans.
