Audio Watermarking

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Latest papers 29

9 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

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GAMW: Generation-Aware Mel-Domain Watermarking for TTS Traceability
Oct 10, 2026Yihang Zhang, Weicai Yan, Qifei Zhang +2Audio Watermarking Robust Watermarking
Zhejiang University
NeuMark-Native: Robust Text-to-Speech-Native Watermarking Through Full Utilization of Neural Audio Codec Latent Space
Oct 4, 2026Annan Wu, Wen-Chin Huang, Tomoki TodaAudio Watermarking Robust Watermarking
Nagoya University, Japan
Learning to Watermark Speech Synthesis Against Model-Driven Reconstruction
Oct 3, 2026Weizhi Liu, Yue Li, Hui Tian +1Audio Watermarking Robust Watermarking
East China Normal University, Shanghai, China · Huaqiao University, Xiamen, China
Watermarks and Fingerprints as Soft Bindings for Content Provenance: An Open-Licence Benchmark for Images, Audio and Video
Oct 2, 2026Seyedmahdi Kazempourradi, Ramtin Mojtahedi, Behrang MohseniData Provenance Robust Watermarking
Original Pictures Technologies, Inc., Delaware, USA
Tokens Change, Structure Endures: Spectral Watermarking for Generated Speech
Sep 27, 2026Kanghwi Lee, Kyeongseok Jeong, Jeongmin LiuAudio Watermarking Robust Watermarking
Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland · NAVER Cloud
No Time to Collapse: Unlocking Robustness and Multiplexed Capacity in Frozen Audio Watermarkers
Sep 24, 2026Xuanye Wang, Linxi Li, Yechen Wang +3Audio Watermarking Robust Watermarking
OfSpectrum, Inc., Los Angeles, CA, USA · University of Warwick, Coventry, United Kingdom
The Vulnerability of Neural Audio Watermarks under Speech Enhancement
Sep 24, 2026Xincong Zhong, Shengyao Wang, Lingfeng Yao +4Watermark Removal Audio Watermarking
Waseda University, Japan · University of Houston, USA
Latent Audio Watermarking for Robustness to Neural Codec Resynthesis
Sep 22, 2026Lovro Brulec, Sahil Karawade, Leonard KinzingerAudio Watermarking Robust Watermarking
Munich Music Labs · Technical University of Munich
NeuMark: Neural Codec Resynthesis-Robust Audio Watermarking in the Codec Latent Space
Sep 22, 2026Annan Wu, Wen-Chin Huang, Tomoki TodaAudio Watermarking Robust Watermarking
Nagoya University, Japan
CRAW: Codec Robust Audio Watermarking
Sep 2, 2026David Chernin, Ethan FetayaAudio Watermarking Robust Watermarking
Bar-Ilan University, Ramat Gan, Israel · NVIDIA
Combining Self-Embedding Audio Watermarking with Ultra-Low-Bitrate Neural Codecs
Aug 26, 2026Yigitcan Özer, Xin Wang, Zhe Zhang +1Audio Watermarking Audio Deepfake Detection
National Institute of Informatics, Tokyo, Japan
On the Robustness of Audio Deepfake Detection under Audio Watermarking
Aug 25, 2026Zi Qian Yong, Ajinkya Kulkarni, Julia Lau +4Audio Deepfake Detection Audio Watermarking
School of Information Technology, Monash University, Malaysia campus · Idiap Research Institute, Switzerland
AudioNoisePrints: Model-free audio watermarking using spatial correlation in flow matching TTS
Aug 23, 2026Timothy Tin-Long, Jian Zhu, Aidan Pine +1Audio Watermarking Robust Watermarking
National Research Council Canada, Canada · University of British Columbia, Canada
How Fragile Is Your Watermark? Training-Free Structural Removal of Neural Audio Watermarks
Aug 17, 2026Likhith KumaraWatermark Removal Audio Watermarking
Indian Institute of Technology Madras, Chennai, India
Investigating Codec-Internal Latent Audio Watermarking for Neural Codec Robustness
Jul 23, 2026Zi Hu, Houmin Sun, Linxi Li +4Audio Watermarking Neural Audio Codecs
Digital Innovation Research Center, Duke Kunshan University, Kunshan, China · OfSpectrum, Inc., Los Angeles, USA · University of Warwick, Coventry, United Kingdom +1
SSTMark: Robust Training-Free Semantic-Level Speech Watermarking
Jul 20, 2026Kuan-Lin Chu, Jun-Cheng Chen, Chun-Shien LuAudio Watermarking Robust Watermarking
CITI, Academia Sinica · Taiwan, ROC · IIS, Academia Sinica
MusicMark: A Robust Generative Watermarking Framework for Music Generation
Jul 13, 2026Seohwan Yun, Jeeyoung Yun, Yongjin Kim +2Audio Watermarking Robust Watermarking
Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea · Department of Computer Engineering, Inha University, Incheon, Republic of Korea
The Watermark Shortcut: How Provenance Marking Sabotages Audio Deepfake Detection
Jun 22, 2026Nicolas M. Müller, Pascal DebusAudio Watermarking Audio Deepfake Detection
Fraunhofer AISEC, Germany · Resemble AI
Learning to Evade: Adaptive Attacks on Audio Watermarking
Jun 21, 2026Weikang Ding, Hanqing Guo, Rui Duan +4Watermark Removal Audio Watermarking
University of Missouri-Kansas City, USA · University of Hawaii at Manoa, USA · University of South Florida, USA +2
LambdaMark: Semantic Audio Watermarking for Robustness and Radioactivity
Jun 19, 2026Kexin Li, Xiao Hu, Ilya Grishchenko +1Audio Watermarking Robust Watermarking
University of Toronto, Canada
DuraMark: Duration-Embedded Watermarking in LLM-based TTS
Jun 13, 2026Zhenwei Mou, Weili Jiang, Liping Chen +4Audio Watermarking TTS Synthesis
University of Science and Technology of China, China · Institute of Forensic Science, Ministry of Public Security, China · The Hong Kong Polytechnic University, China
VoxWatermark: A Large-Scale Benchmark for Audio Watermark Detection under Perturbations
Jun 13, 2026Farnaz Sedaghati, Yuxi Wang, Zicheng Weng +1Audio Watermarking Robust Watermarking
University of Tehran, Iran · Nanyang Technological University, Singapore
Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions
Jun 10, 2026Haiyun Li, Shuhai Peng, Zhisheng Zhang +4Audio Watermarking Robust Watermarking
Shenzhen International Graduate School, Tsinghua University, China · Pengcheng Laboratory, China · Independent Researcher, China
Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors
May 28, 2026Lingfeng Yao, Xincong Zhong, Chenpei Huang +6Watermark Removal Audio Watermarking
University of Houston · Waseda University · UC Berkeley +3
Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio
May 25, 2026Georgios Milis, Yubin Qin, Yihan Wu +1Audio Watermarking Robust Watermarking
Department of Computer Science, University of Maryland, College Park, USA.
MelShield: Robust Mel-Domain Audio Watermarking for Provenance Attribution of AI Generated Synthesized Speech
May 2, 2026Yutong Jin, Qi Li, Lingshuang Liu +1Audio Watermarking Robust Watermarking
Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada · Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
LAVA: Layered Audio-Visual Anti-tampering Watermarking for Robust Deepfake Detection and Localization
Apr 27, 2026Bokang Zeng, Zheng Gao, Xiaoyu Li +2Audio Watermarking Deepfake Detection
School of Computer Science and Engineering UNSW Sydney Sydney, Australia · School of Information and Communication Technology Griffith University Brisbane, Australia
Making Separation-First Multi-Stream Audio Watermarking Feasible via Joint Training
Mar 17, 2026Houmin Sun, Zi Hu, Linxi Li +4Audio Watermarking Robust Watermarking
Digital Innovation Research Center, Duke Kunshan University, Kunshan, China · OfSpectrum, Inc., Los Angeles, USA · University of Warwick, Coventry, United Kingdom +1
Latent-Mark: An Audio Watermark Robust to Neural Codec Compression
Mar 5, 2026Yen-Shan Chen, Shih-Yu Lai, Ying-Jung Tsou +5Audio Watermarking Robust Watermarking
National Taiwan University, Taiwan · RIKEN Center for Computational Science (RIKEN-CCS), Japan · MoonShine Animation Studio, Taiwan +1

Oct 10, 2026J/K move · Enter open · S save

GAMW: Generation-Aware Mel-Domain Watermarking for TTS Traceability

Yihang Zhang, Weicai Yan, Qifei Zhang, Yangyang Wu+1

Zhejiang University

Audio Watermarking Robust Watermarking TTS Synthesis

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As text-to-speech (TTS) systems continue to advance, provenance tracking and security verification of synthesized speech have become increasingly important. Audio watermarking provides active provenance by embedding imperceptible, machine-recoverable information into speech. However, existing post-hoc methods typically modify the waveform after synthesis, leaving the watermark vulnerable to compound perturbations. To address this limitation, we propose GAMW, a watermark injection framework integrated into the TTS generation process. Before waveform synthesis, GAMW embeds a content-adaptive multi-bit watermark residual into the generated representation, and its decoding objective combines focal modulation with dynamic per-bit weighting. We train and evaluate GAMW separately on two TTS backbones. With a 16-bit payload, GAMW improves decoding accuracy over the strongest baseline by 9.2 and 23.5 percentage points under individual and compound perturbations, respectively, while maintaining competitive speech quality. Reliable clean-speech decoding is also retained at higher payloads. Code is available at https://github.com/ZConJugaTe/GAMW.