Results 41 to 50 of about 23,204 (110)
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
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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
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Semi-supervised Emotional Music Generation Method Based on Improved Gaussian Mixture Variational Autoencoders [PDF]
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
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An automatic music generation and evaluation method based on transfer learning. [PDF]
Guo Y, Liu Y, Zhou T, Xu L, Zhang Q.
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Probe-Assisted Fine-Grained Control for Non-Differentiable Features in Symbolic Music Generation
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
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Retracted: The Psychological Education Strategy of Music Generation and Creation by Generative Confrontation Network under Deep Learning. [PDF]
Intelligence And Neuroscience C.
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A Lightweight Deep Learning-Based Approach for Jazz Music Generation in MIDI Format. [PDF]
Yadav PS +4 more
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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
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Repulsive Guidance for Memorization Mitigation in Text-to-Music Diffusion Models
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
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MusDiff: A multimodal-guided framework for music generation
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
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