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 …

Abstract “Art is the lie that enables us to realize the truth.”–Pablo Picasso. For centuries,
humans have dedicated themselves to producing arts to convey their imagination. The …

Low-rate Distributed DoS (LDDoS) attack is a complex large-scale attack behavior with
strong time-domain characteristics in blockchain-based wireless network. Blockchain with …

Human usually composes music by organizing elements according to the musical form to
express music ideas. However, for neural network-based music generation, it is difficult to do …

Automatic lyrics generation has received attention from both music and AI communities for
years. Early rule-based approaches have-due to increases in computational power and …

We focus on the music generation conditional on human emotions, specifically the positive
and negative emotions. There is no existing large-scale music datasets with the annotation …

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 …

With the availability of paired lyrics-melody dataset and advancements of artificial
intelligence techniques, research on melody generation conditioned on lyrics has become …

At present, most of the melody generation models consider the introduction of chord, rhythm
and other constraints in the melody generation process to ensure the quality of the melody …

We propose a deep attention-based alignment network, which aims to automatically predict
lyrics and melody with given incomplete lyrics as input in a way similar to the music creation …