collaborators

7 papers

cs.SD2026

PC-Mix: Partial-Component Audio Spoofing Detection under Mixed Speech and Environmental Sound Conditions

Zhenshan Zhang, Xueping Zhang, Linxi Li +2

Recent studies on partial audio spoofing mainly focus on studio-recorded speech with temporal localization of spoofed segments. However, these studies often overlook realistic cond…

cs.SD2026

Overview of ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge

Xueping Zhang, Han Yin, Yang Xiao +4

The Environment-Aware Speech and Sound Deepfake Detection Challenge (ESDD2), held in conjunction with ICME 2026, evaluated systems for five component-level audio spoofing detection…

cs.SD2026

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.SD2026

ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge Evaluation Plan

Xueping Zhang, Han Yin, Yang Xiao +4

Audio recorded in real-world environments often contains a mixture of foreground speech and background environmental sounds. With rapid advances in text-to-speech, voice conversion…

cs.SD2026

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…

cs.SD2026

Location-Oriented Sound Event Localization and Detection with Spatial Mapping and Regression Localization

Xueping Zhang, Yaxiong Chen, Ruilin Yao +2

Sound Event Localization and Detection (SELD) combines the Sound Event Detection (SED) with the corresponding Direction Of Arrival (DOA). Recently, adopted event oriented multi-tra…