论文标题
由音调张力控制的音乐发电的差异自动编码器
A variational autoencoder for music generation controlled by tonal tension
论文作者
论文摘要
许多基于神经网络的音乐生成系统都是完全自主的，并且无法控制生成过程。在这项研究中，我们就音调张力提出了可控的音乐生成系统。我们将基于螺旋阵列张力理论的两种色调张力度量纳入变异自动编码器模型中。这使我们能够控制整个生成的部分的音调张力的方向以及整体张力的水平。鉴于种子音乐片段是源于用户输入或直接从潜在空间采样的，该模型可以产生这种原始种子片段的变化，并改变了色调张力。这种改变的音乐仍然与种子音乐有节奏，但是音符的音调会更改以匹配用户条件的所需的色调张力。
Many of the music generation systems based on neural networks are fully autonomous and do not offer control over the generation process. In this research, we present a controllable music generation system in terms of tonal tension. We incorporate two tonal tension measures based on the Spiral Array Tension theory into a variational autoencoder model. This allows us to control the direction of the tonal tension throughout the generated piece, as well as the overall level of tonal tension. Given a seed musical fragment, stemming from either the user input or from directly sampling from the latent space, the model can generate variations of this original seed fragment with altered tonal tension. This altered music still resembles the seed music rhythmically, but the pitch of the notes are changed to match the desired tonal tension as conditioned by the user.
