collaborators

7 papers

cs.SD2026

Investigating Codec-Internal Latent Audio Watermarking for Neural Codec Robustness

Zi Hu, Houmin Sun, Linxi Li +4

Neural audio codecs are challenging transformations for audio watermarking because they re-encode, quantize, and resynthesize speech. This paper investigates continuous latent-spac…

cs.SD2026

SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation

Linxi Li, Yuncong Yu, Qianwei Guo +3

While audio deepfake detection has advanced significantly, representative detectors show limited generalization to synthetic sound effects. Existing environmental audio datasets su…

cs.CV2026

USV: Towards Understanding the User-generated Short-form Videos

Haoyue Cheng, Su Xu, Liwei Jin +3

Several large-scale video datasets have been published these years and have advanced the area of video understanding. However, the newly emerged user-generated short-form videos ha…

cs.SD2026

Making Separation-First Multi-Stream Audio Watermarking Feasible via Joint Training

Houmin Sun, Zi Hu, Linxi Li +4

Modern audio is created by mixing stems from different sources, raising the question: can we independently watermark each stem and recover all watermarks after separation? We study…

cs.SD2025

MultiAPI Spoof: A Multi-API Dataset and Local-Attention Network for Speech Anti-spoofing Detection

Xueping Zhang, Zhenshan Zhang, Yechen Wang +3

Existing speech anti-spoofing benchmarks rely on a narrow set of public models, creating a substantial gap from real-world scenarios in which commercial systems employ diverse, oft…

cs.LG2025

The Impact of Audio Watermarking on Audio Anti-Spoofing Countermeasures

Zhenshan Zhang, Xueping Zhang, Yechen Wang +2

This paper presents the first study on the impact of audio watermarking on spoofing countermeasures. While anti-spoofing systems are essential for securing speech-based application…

cs.SD2025

CompSpoof: A Dataset and Joint Learning Framework for Component-Level Audio Anti-spoofing Countermeasures

Xueping Zhang, Yechen Wang, Linxi Li +2

Component-level audio Spoofing (Comp-Spoof) targets a new form of audio manipulation where only specific components of a signal, such as speech or environmental sound, are forged o…