MusicMark: A Robust Generative Watermarking Framework for Music Generation

arXiv:2607.11117 · cs.SD, cs.AI, cs.CR · Submitted 2026-07-13 · Read on arXiv

Seohwan Yun, Jeeyoung Yun, Yongjin Kim, Juyeon Lee, Sungwoong Kim

cs.SD, cs.AI, cs.CR

Submitted: 2026-07-13

Comments: Submitted to IEEE Transactions on Information Forensics and Security

Code: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 43× in this paper · explained in 5 episodes
• Accuracy — 24× in this paper · explained in 1 episode
• Consistency — 14× in this paper · explained in 3 episodes
• Fidelity — 11× in this paper · explained in 2 episodes
• Alignment — 10× in this paper · explained in 1 episode
• Latent Space — 10× in this paper · explained in 7 episodes
• Provenance — 8× in this paper · explained in 3 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Flow Matching — 5× in this paper · explained in 8 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Decode — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Phoneme Error Rate — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Short Time Fourier Transform — 1× in this paper

Sources

• ACE-Step: A Step Towards Music Generation Foundation Model
• DiffRhythm: Blazingly Fast and Embarrassingly Simple End-to-End Full-Length Song Generation with Latent Diffusion
• DiffRhythm 2: Efficient and High Fidelity Song Generation via Block Flow Matching
• YuE: Scaling Open Foundation Models for Long-Form Music Generation
• HeartMuLa: A Family of Open Sourced Music Foundation Models
• JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment
• Stable Audio 3
• WavMark: Watermarking for Audio Generation
• TraceableSpeech: Towards Proactively Traceable Text-to-Speech with Watermarking
• VocBulwark: Towards Practical Generative Speech Watermarking via Additional-Parameter Injection
• MusicLM: Generating Music From Text
• High Fidelity Neural Audio Compression
• SoK: How Robust is Audio Watermarking in Generative AI models?
• Deep Audio Watermarks are Shallow: Limitations of Post-Hoc Watermarking Techniques for Speech
• SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation
• Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
• Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control
• Fr'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms
• Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound

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