Sep 19, 2023 · In this paper, we propose MelodyGLM, a multi-task pre-training framework for generating melodies with long-term structure. We design the melodic ...
View recent discussion. Abstract: Pre-trained language models have achieved impressive results in various music understanding and generation tasks.
Multi-task Pre-training for Symbolic Melody Generation - arxiv-sanity
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In this paper, we propose MelodyGLM, a multi-task pre-training framework for generating melodies with long-term structure. We design the melodic n-gram and long ...
Sep 18, 2023 · MelodyNet. Introduced by Wu et al. in MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation. we introduce a large-scale and ...
WuYun (悟韵), is a knowledge-enhanced deep learning architecture for improving the structure of generated melodies. Inspired by the hierarchical ...
2 days ago · In this paper, we propose SongGLM, a lyric-to-melody generation system that leverages 2D alignment encoding and multi-task pre-training based on ...
In this paper, we propose MelodyGLM, a multi-task pre-training framework for generating melodies with long-term structure. We design the melodic n-gram and long ...
MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation. X Wu, Z Huang, K Zhang, J Yu, X Tan, T Zhang, Z Wang, L Sun. arXiv preprint arXiv:2309.10738, ...
MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation · 19 Sep 2023 · Xinda Wu ; REMAST: Real-time Emotion-based Music Arrangement with Soft Transition.
MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation · Xinda Wu ... This paper proposes MelodyGLM, a multi-task pre-training framework for ...