This survey paper provides a comprehensive overview of the recent advancements and
challenges in applying large language models to the field of audio signal processing. Audio …

Music is a powerful medium for altering the emotional state of the listener. In recent years,
with significant advancements in computing capabilities, artificial intelligence-based (AI …

Sketch-based melody creation systems enable people to compose melodies by converting
human-sketched melody contours into coherent melodies that fit the depicted contours. This …

Generating music with emotion is an important task in automatic music generation, in which
emotion is evoked through a variety of musical elements (such as pitch and duration) that …

We present the Melody Guided Music Generation (MMGen) model, the first novel approach
using melody to guide the music generation that, despite a pretty simple method and …

The COVID-19 pandemic has dramatically transformed human mobility patterns. Therefore,
human mobility prediction for the “new normal” is crucial to infrastructure redesign …

Existing melody harmonization models have made great progress in improving the quality of
generated harmonies, but most of them ignored the emotions beneath the music …

Melody-to-lyrics generation, which is based on syllable-level generation, is an intriguing and
challenging topic in the interdisciplinary field of music, multimedia, and machine learning …

Emotion-driven melody harmonization aims to generate diverse harmonies for a single
melody to convey desired emotions. Previous research found it hard to alter the perceived …

Existing music generation models are mostly language-based, neglecting the frequency
continuity property of notes, resulting in inadequate fitting of rare or never-used notes and …