Ai-based affective music generation systems: A review of methods and challenges

A Dash, K Agres - ACM Computing Surveys, 2024 - dl.acm.org
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 …

Musecoco: Generating symbolic music from text

P Lu, X Xu, C Kang, B Yu, C Xing, X Tan… - arXiv preprint arXiv …, 2023 - arxiv.org
Generating music from text descriptions is a user-friendly mode since the text is a relatively
easy interface for user engagement. While some approaches utilize texts to control music …

Cross-and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction

Z Mo, H Xiang, X Di - ACM Transactions on Spatial Algorithms and …, 2024 - dl.acm.org
The COVID-19 pandemic has dramatically transformed human mobility patterns. Therefore,
human mobility prediction for the “new normal” is crucial to infrastructure redesign …

Emomusictv: Emotion-conditioned symbolic music generation with hierarchical transformer vae

S Ji, X Yang - IEEE Transactions on Multimedia, 2023 - ieeexplore.ieee.org
Emotion is one of the most crucial attributes of music. However, due to the scarcity of
emotional music datasets, emotion-conditioned symbolic music generation using deep …

BandControlNet: parallel transformers-based steerable popular music generation with fine-grained spatiotemporal features

J Luo, X Yang, D Herremans - arXiv preprint arXiv:2407.10462, 2024 - arxiv.org
Controllable music generation promotes the interaction between humans and composition
systems by projecting the users' intent on their desired music. The challenge of introducing …

Diff-BGM: A Diffusion Model for Video Background Music Generation

S Li, Y Qin, M Zheng, X Jin… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
When editing a video a piece of attractive background music is indispensable. However
video background music generation tasks face several challenges for example the lack of …

Generating Polyphonic Symbolic Emotional Music in the Style of Bach Using Convolutional Conditional Variational Autoencoder

J Grekow - IEEE Access, 2023 - ieeexplore.ieee.org
In times of increasing human-machine interaction, the implementation of emotional
intelligence in machines should not only recognize and track emotions during human …

Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representation

J Huang, K Chen, YH Yang - arXiv preprint arXiv:2407.20955, 2024 - arxiv.org
Managing the emotional aspect remains a challenge in automatic music generation. Prior
works aim to learn various emotions at once, leading to inadequate modeling. This paper …

MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion

S Ji, X Yang - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
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 …

IteraTTA: An interface for exploring both text prompts and audio priors in generating music with text-to-audio models

H Yakura, M Goto - arXiv preprint arXiv:2307.13005, 2023 - arxiv.org
Recent text-to-audio generation techniques have the potential to allow novice users to freely
generate music audio. Even if they do not have musical knowledge, such as about chord …