mlsanityData to 7 Oct 2026

Seed-Music: A Unified Framework for High Quality and Controlled Music Generation

arXiv 2409.09214 ↗First posted 13 Sep 2024cs.SD eess.AScited by 21

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Abstract (arXiv)

We introduce Seed-Music, a suite of music generation systems capable of producing high-quality music with fine-grained style control. Our unified framework leverages both auto-regressive language modeling and diffusion approaches to support two key music creation workflows: controlled music generation and post-production editing. For controlled music generation, our system enables vocal music generation with performance controls from multi-modal inputs, including style descriptions, audio references, musical scores, and voice prompts. For post-production editing, it offers interactive tools for editing lyrics and vocal melodies directly in the generated audio. We encourage readers to listen to demo audio examples at https://team.doubao.com/seed-music "https://team.doubao.com/seed-music".

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Sep 2024.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 11; 2026: 9.

21 papers.

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  1. 2025DiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusioncited by 46
  2. 2025LeVo: High-Quality Song Generation with Multi-Preference Alignmentcited by 23
  3. 2025Analyzable Chain-of-Musical-Thought Prompting for High-Fidelity Music Generationcited by 13
  4. 2024Improving Musical Accompaniment Co-creation via Diffusion Transformerscited by 11
  5. 2025InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music Generationcited by 10
  6. 2025Vevo2: A Unified and Controllable Framework for Speech and Singing Voice Generationcited by 5
  7. 2025A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectivescited by 4
  8. 2025Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generationcited by 2
  9. 2025Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generationcited by 1
  10. 2026Evaluating Disentangled Representations for Controllable Music Generationcited by 1
  11. 2026Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generationcited by 1
  12. 2026StepAudio 3 Music Technical Reportcited by 1
9 more
  1. 2025Mozualization: Crafting Music and Visual Representation with Multimodal AIcited by 0
  2. 2025TISDiSS: A Training-Time and Inference-Time Scalable Framework for Discriminative Source Separationcited by 0
  3. 2025BridgeVoC: Revitalizing Neural Vocoder from a Restoration Perspectivecited by 0
  4. 2026LaDA-Band: Language Diffusion Models for Vocal-to-Accompaniment Generationcited by 0
  5. 2026Aligning Language Models for Lyric-to-Melody Generation with Rule-Based Musical Constraintscited by 0
  6. 2026JenBridge: Adaptive Long-Form Video Soundtracking across Scene Transitionscited by 0
  7. 2026SketchSong: Hierarchical Song Generation with Sketch Planning and Fine-Grained Multi-Track Modelingcited by 0
  8. 2026Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokenscited by 0
  9. 2026MusicLayout: Explicit Structural Planning for Controllable Text-to-Music Generationcited by 0