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20242026
most citedMitigating Unauthorized Speech Synthesis for Voice Protection

7 citations · 7 across the 7 of their papers we have counts for

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cs.SD2026

Discrete vs. Continuous: A Comprehensive Study of Unified Audio Understanding in LALMs

Jing Peng, Zichao Nie, Zhisheng Zhang +2

Large Audio Language Models (LALMs) utilize either continuous features or discrete tokens, yet the optimal representation paradigm for general audio understanding remains debated.…

cs.SD2026

Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions

Haiyun Li, Shuhai Peng, Zhisheng Zhang +4

Audio watermarking aims to embed identifiable information into audio while remaining imperceptible. Existing methods adopt high-fidelity, low-energy designs to preserve perceptual…

cs.SD2026

VoxCPM2 Technical Report

Yixuan Zhou, Guoyang Zeng, Xin Liu +15

We present VoxCPM2, a https://info.arxiv.org/help/prep#abstractsfully open-source multilingual and controllable speech generation foundation model that extends the hierarchical dif…

cs.SD2025

SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis

Zhisheng Zhang, Derui Wang, Qianyi Yang +6

Speech synthesis technology has brought great convenience, while the widespread usage of realistic deepfake audio has triggered hazards. Malicious adversaries may unauthorizedly co…

cs.SD2024★ 7 cited

Mitigating Unauthorized Speech Synthesis for Voice Protection

Zhisheng Zhang, Qianyi Yang, Derui Wang +4

With just a few speech samples, it is possible to perfectly replicate a speaker's voice in recent years, while malicious voice exploitation (e.g., telecom fraud for illegal financi…

cs.SD2024

HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System

Zhisheng Zhang, Pengyang Huang

In recent years, the remarkable advancements in deep neural networks have brought tremendous convenience. However, the training process of a highly effective model necessitates a s…