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 …

Audio editing is applicable for various purposes, such as adding background sound effects,
replacing a musical instrument, and repairing damaged audio. Recently, some diffusion …

Intelligent music generation, one of the most popular subfields of computer creativity, can
lower the creative threshold for non-specialists and increase the efficiency of music creation …

Style transfer is the process of changing the style of an image, video, audio clip or musical
piece so as to match the style of a given example. Even though the task has interesting …

Generative AI has the potential to create a new form of interactive media: AI-bridged creative
language arts (CLA), which bridge the author and audience by personalizing the author's …

Music creation involves not only composing the different parts (eg, melody, chords) of a
musical work but also arranging/selecting the instruments to play the different parts. While …

Every music composition has a composer at the core of its building block, molding it into a
style of their own. The creative compositional style of a composer varies dynamically with …

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 …

Music-to-visual style transfer is a challenging yet important cross-modal learning problem in
the practice of creativity. Its major difference from the traditional image style transfer problem …

In this work, we focus on solving the problem of timbre transfer in audio samples. The goal is
to transfer the source audio's timbre from one instrument to another while retaining as much …