Computer-Generated Music for Tabletop Role-Playing Games
| العنوان: | Computer-Generated Music for Tabletop Role-Playing Games |
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| المؤلفون: | Lucas Ferreira, Levi Lelis, Jim Whitehead |
| المصدر: | Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 16:59-65 |
| بيانات النشر: | Association for the Advancement of Artificial Intelligence (AAAI), 2020. |
| سنة النشر: | 2020 |
| الوصف: | 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. |
| تدمد: | 2334-0924 2326-909X |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::f788e1f58733032ddb83b97457758c9b https://doi.org/10.1609/aiide.v16i1.7408 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........f788e1f58733032ddb83b97457758c9b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23340924 2326909X |
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