Self Voice Conversion as an Attack against Neural Audio Watermarking

Export BriefConnect with Author
View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $10K - $14K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (42)

[1]
A Comparative Study on Proactive and Passive Detection of Deepfake Speech
2025Chia-Hua Wu, Wanying Ge et al.
[2]
VoiceMark: Zero-Shot Voice Cloning-Resistant Watermarking Approach Leveraging Speaker-Specific Latents
2025Haiyun Li, Zhiyong Wu et al.
[3]
A Comprehensive Real-World Assessment of Audio Watermarking Algorithms: Will They Survive Neural Codecs?
2025Yigitcan Özer, Woosung Choi et al.
[4]
Deep Audio Watermarks are Shallow: Limitations of Post-Hoc Watermarking Techniques for Speech
2025Patrick O'Reilly, Zeyu Jin et al.
[5]
SoK: How Robust is Audio Watermarking in Generative AI models?
2025Yizhu Wen, Ashwin Innuganti et al.
[6]
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention
2025Yixin Liu, Lie Lu et al.
[7]
Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis
2024Lauri Juvela, Xin Wang
[8]
WMCodec: End-to-End Neural Speech Codec with Deep Watermarking for Authenticity Verification
2024Jun Zhou, Jiangyan Yi et al.
[9]
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis
2024Weizhi Liu, Yue Li et al.
[10]
AudioMarkBench: Benchmarking Robustness of Audio Watermarking
2024Hongbin Liu, Moyang Guo et al.
[11]
SilentCipher: Deep Audio Watermarking
2024Mayank Kumar Singh, Naoya Takahashi et al.
[12]
Maskmark: Robust Neuralwatermarking for Real and Synthetic Speech
2024Patrick O'Reilly, Zeyu Jin et al.
[13]
Proactive Detection of Voice Cloning with Localized Watermarking
2024Robin San Roman, Pierre Fernandez et al.
[14]
Detecting Voice Cloning Attacks via Timbre Watermarking
2023Chang Liu, Jie Zhang et al.
[15]
WavMark: Watermarking for Audio Generation
2023Guang Chen, Yu Wu et al.
[16]
High-Fidelity Audio Compression with Improved RVQGAN
2023Rithesh Kumar, Prem Seetharaman et al.
[17]
Voice Conversion With Just Nearest Neighbors
2023Matthew Baas, B. V. Niekerk et al.
[18]
Who is Speaking Actually? Robust and Versatile Speaker Traceability for Voice Conversion
2023Yanzhen Ren, Hongcheng Zhu et al.
[19]
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
2023Kai Shen, Zeqian Ju et al.
[20]
Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion
2023Jiangyi Deng, Yanjiao Chen et al.

Showing 20 of 42 references

Founder's Pitch

"Develop a tool that leverages self voice conversion to test and improve the security of neural audio watermarking systems."

Audio SecurityScore: 5View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

4/4 signals

10

Series A Potential

2/4 signals

5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 1/28/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.

Related Papers

Loading…