论文标题
迈向GPT-3的音乐解释
Towards the Generation of Musical Explanations with GPT-3
论文作者
论文摘要
打开AI的语言模型GPT-3，在许多不同域中的应用程序显示了许多NLP任务的巨大潜力。在这项工作中，我们对GPT-3的能力进行了首次研究，该研究通过文字说明进行了文本解释来传达音乐决策，并以文字表示音乐。在人类音乐伙伴关系中实现对话是迈向更具吸引力和创造性的人类互动的重要一步。我们的结果表明，GPT-3缺乏真正理解音乐决定的必要智能。达到更好性能的主要障碍是缺乏数据，其中包括对艺术家为音乐作品进行的创作过程的解释。我们认为，这样的资源将有助于与AI音乐系统的理解和协作。
Open AI's language model, GPT-3, has shown great potential for many NLP tasks, with applications in many different domains. In this work we carry out a first study on GPT-3's capability to communicate musical decisions through textual explanations when prompted with a textual representation of a piece of music. Enabling a dialogue in human-AI music partnerships is an important step towards more engaging and creative human-AI interactions. Our results show that GPT-3 lacks the necessary intelligence to really understand musical decisions. A major barrier to reach a better performance is the lack of data that includes explanations of the creative process carried out by artists for musical pieces. We believe such a resource would aid the understanding and collaboration with AI music systems.
