The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …

With the development of knowledge of music composition and the recent increase in
demand, an increasing number of companies and research institutes have begun to study …

Automatic music generation systems have gained in popularity and sophistication as
advances in cloud computing have enabled large-scale complex computations such as …

Music exerts a ubiquitous influence on human cultures and daily lives. Composing music is
deemed rather complicated because it involves various factors (eg, instruments, melodies …

Variational Autoencoder (VAE) has been widely and successfully used in learning coherent
latent representation of data. However, the lack of interpretability in the latent space …

Music generation using deep learning has received considerable attention in recent years.
Researchers have developed various generative models capable of imitating musical …

For successful artificial music composition, chords and melody must be aligned well. Yet,
chord conditioned melody generation remains a challenging task mainly due to its …

Music plays an important role in our daily life. With the development of deep learning and
modern generation techniques, researchers have done plenty of works on automatic music …

In recent years, deep learning has seen remarkable progress in many fields, especially with
many excellent pre-training models emerged in Natural Language Processing (NLP) …

The uncertainties quantification of fiber path parameters is essential for fully developing the
variable stiffness composite laminates (VSCL) performance. How to design a reliable fiber …