activity
20182026
most citedASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

175 citations · 473 across the 30 of their papers we have counts for

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14 papers · 1 filter

cs.SD2026

Self Voice Conversion as an Attack against Neural Audio Watermarking

Yigitcan Özer, Wanying Ge, Zhe Zhang +2

Audio watermarking embeds auxiliary information into speech while maintaining speaker identity, linguistic content, and perceptual quality. Although recent advances in neural and d…

cs.SD2025

Zero-Day Audio DeepFake Detection via Retrieval Augmentation and Profile Matching

Xuechen Liu, Xin Wang, Junichi Yamagishi

Modern audio deepfake detectors built on foundation models and large training datasets achieve promising detection performance. However, they struggle with zero-day attacks, where…

cs.SD2025

LENS-DF: Deepfake Detection and Temporal Localization for Long-Form Noisy Speech

Xuechen Liu, Wanying Ge, Xin Wang +1

This study introduces LENS-DF, a novel and comprehensive recipe for training and evaluating audio deepfake detection and temporal localization under complicated and realistic audio…

cs.SD2025

MIDI-VALLE: Improving Expressive Piano Performance Synthesis Through Neural Codec Language Modelling

Jingjing Tang, Xin Wang, Zhe Zhang +3

Generating expressive audio performances from music scores requires models to capture both instrument acoustics and human interpretation. Traditional music performance synthesis pi…

cs.SD2025

A Comparative Study on Proactive and Passive Detection of Deepfake Speech

Chia-Hua Wu, Wanying Ge, Xin Wang +3

Solutions for defending against deepfake speech fall into two categories: proactive watermarking models and passive conventional deepfake detectors. While both address common threa…

cs.SD2025

Towards An Integrated Approach for Expressive Piano Performance Synthesis from Music Scores

Jingjing Tang, Erica Cooper, Xin Wang +2

This paper presents an integrated system that transforms symbolic music scores into expressive piano performance audio. By combining a Transformer-based Expressive Performance Rend…