论文标题
符号音乐的生成以连续值的情绪为条件
Symbolic music generation conditioned on continuous-valued emotions
论文作者
论文摘要
在本文中，我们介绍了一种新的方法，用于产生由音乐情感驱动的多仪器象征性音乐。我们方法的主要新颖性集中在调理基于连续值价和唤醒标签的最先进的变压器。此外，我们还提供了一个新的大型符号音乐数据集，并在价和唤醒方面配对情感标签。我们以两种方式评估我们的方法，首先是通过测量其音符预测准确性，其次是通过价值平面中的回归任务进行评估。我们的结果表明，我们所提出的方法使用控制令牌代表了当前的最新状态。
In this paper we present a new approach for the generation of multi-instrument symbolic music driven by musical emotion. The principal novelty of our approach centres on conditioning a state-of-the-art transformer based on continuous-valued valence and arousal labels. In addition, we provide a new large-scale dataset of symbolic music paired with emotion labels in terms of valence and arousal. We evaluate our approach in a quantitative manner in two ways, first by measuring its note prediction accuracy, and second via a regression task in the valence-arousal plane. Our results demonstrate that our proposed approaches outperform conditioning using control tokens which is representative of the current state of the art.
