Open-Qwen-Music: An Auditable Framework for LLM-Based Music Composition and Diffusion Rendering

arXiv:2609.31652 · cs.SD, cs.AI, eess.AS · Submitted 2026-09-14 · Read on arXiv

cs.SD, cs.AI, eess.AS

Submitted: 2026-09-14

Updated: 2026-09-14

Code: https://github.com/biang15343100-source/Open-Qwen-Music

Terminology

• Adaptation — 8× in this paper · explained in 1 episode
• Provenance — 8× in this paper · explained in 4 episodes
• Quantization — 7× in this paper · explained in 12 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Fidelity — 6× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Flow Matching — 3× in this paper · explained in 8 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Affective Computing — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• KL Regularization — 1× in this paper · explained in 2 episodes
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• MusicLM: Generating Music From Text
• Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering
• FMA: A Dataset For Music Analysis
• Hybrid Spectrogram and Waveform Source Separation
• ACE-Step 1.5: Pushing the Boundaries of Open-Source Music Generation
• SongFormer: Scaling Music Structure Analysis with Heterogeneous Supervision
• Advancing the Foundation Model for Music Understanding
• Jamendo-QA: A Large-Scale Music Question Answering Dataset
• LeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-Training
• Aligning Generative Speech Enhancement with Perceptual Feedback
• Multi-objective Large Language Model Alignment with Hierarchical Experts
• Qwen3-ASR Technical Report
• Learning Features of Music from Scratch
• Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models
• Audio Interaction Model
• Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation
• Qwen2.5-Omni Technical Report
• Qwen3-Omni Technical Report
• Qwen-Music Technical Report
• SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement

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