Music motif, as a conceptual building block of composition, is crucial f...
We propose Polyffusion, a diffusion model that generates polyphonic musi...
Self-supervised learning (SSL) has shown promising results in various sp...
In the era of extensive intersection between art and Artificial Intellig...
Music rearrangement is a common music practice of reconstructing and
rec...
Self-supervised learning (SSL) has recently emerged as a promising parad...
In this paper, we propose Calliffusion, a system for generating high-qua...
In this study, we explore the representation mapping from the domain of
...
We propose a novel method to model hierarchical metrical structures for ...
The relationship between perceptual loudness and physical attributes of ...
Music contains hierarchical structures beyond beats and measures. While
...
The variational auto-encoder has become a leading framework for symbolic...
We propose Beat Transformer, a novel Transformer encoder architecture fo...
We propose AccoMontage2, a system capable of doing full-length song
harm...
Lyric interpretations can help people understand songs and their lyrics
...
Learning symbolic music representations, especially disentangled
represe...
Breath is a significant component in singing performance, which is still...
Could we automatically derive the score of a piano accompaniment based o...
Accompaniment arrangement is a difficult music generation task involving...
We propose a unified model for three inter-related tasks: 1) to
separate...
We propose the Siamese-flute method that measures the breath pressure an...
Music arrangement generation is a subtask of automatic music generation,...
While deep generative models have become the leading methods for algorit...
The dominant approach for music representation learning involves the dee...
This paper proposes a word representation strategy for rhythm patterns. ...
Automatic music generation is an interdisciplinary research topic that
c...
Analogy is a key solution to automated music generation, featured by its...
Haptic interfaces have untapped the sense of touch to assist multimodal ...
Variational Autoencoders(VAEs) have already achieved great results on im...
We contribute a pop-song automation framework for lead melody generation...
With recent breakthroughs in artificial neural networks, deep generative...
Automated melodic phrase detection and segmentation is a classical task ...
Led by the success of neural style transfer on visual arts, there has be...
Led by the success of neural style transfer on visual arts, there has be...
Traditional instrument learning is time-consuming. It begins with learni...