Results 41 to 50 of about 23,204 (110)

An IoT-enhanced automatic music composition system integrating audio-visual learning with transformer and SketchVAE

open access: yesAlexandria Engineering Journal
With the rapid development of artificial intelligence and the Internet of Things technology, the automatic music composition system has become a hot topic of research.
Yifei Zhang
doaj   +1 more source

MGU-V: A Deep Learning Approach for Lo-Fi Music Generation Using Variational Autoencoders With State-of-the-Art Performance on Combined MIDI Datasets

open access: yesIEEE Access
Music generation presents a significant challenge within the realm of generative AI, encompassing diverse applications in music production, real-time composition, and other related fields.
Amit Kumar Bairwa   +3 more
doaj   +1 more source

Semi-supervised Emotional Music Generation Method Based on Improved Gaussian Mixture Variational Autoencoders [PDF]

open access: yesJisuanji kexue
Music can transmit audio content and emotions through serialized audio features.Emotion is an important component in the semantic expression of music.Therefore,music generation technology should not only consider the structural information of music but ...
XU Bei, LIU Tong
doaj   +1 more source

Probe-Assisted Fine-Grained Control for Non-Differentiable Features in Symbolic Music Generation

open access: yesIEEE Access
As symbolic music generation evolves, research interest is shifting toward more controlled and steerable generative processes to support creative decisions. Previous methods focus on global conditioning or fine-grained control through input sequences but
Rafik Hachana, Bader Rasheed
doaj   +1 more source

A Lightweight Deep Learning-Based Approach for Jazz Music Generation in MIDI Format. [PDF]

open access: yesComput Intell Neurosci, 2022
Yadav PS   +4 more
europepmc   +1 more source

MusicDiffusionNet: Enhancing Text-to-Music Generation with Adaptive Style and Multi-Scale Temporal Mixup Strategies

open access: yesApplied Sciences
Text-to-music generation aims to automatically produce audio content with semantic consistency and coherent musical structure based on natural language descriptions.
Leiheng Xu   +3 more
doaj   +1 more source

Repulsive Guidance for Memorization Mitigation in Text-to-Music Diffusion Models

open access: yesMathematics
Recent progress in text-to-music generation has enabled high-quality audio synthesis from natural language prompts. However, such models are at risk of unintended replication, raising concerns regarding originality and intellectual property.
Taehyeon Kim   +3 more
doaj   +1 more source

MusDiff: A multimodal-guided framework for music generation

open access: yesAlexandria Engineering Journal
Music generation has become a key area in artificial intelligence, achieving significant progress in recent years. However, current research focuses primarily on general music tasks, with limited support for ethnic music. Moreover, the lack of multimodal
Lili Liu, Rui Gong, Yubo Yang
doaj   +1 more source

Home - About - Disclaimer - Privacy