activity
20202025
most citedOne-class Learning Towards Synthetic Voice Spoofing Detection

211 citations · 382 across the 17 of their papers we have counts for

collaborators

17 papers

eess.AS2025★ 1 cited

Towards Perception-Informed Latent HRTF Representations

You Zhang, Andrew Francl, Ruohan Gao +3

Personalized head-related transfer functions (HRTFs) are essential for ensuring a realistic auditory experience over headphones, because they take into account individual anatomica…

eess.AS2025★ 2 cited

PartialEdit: Identifying Partial Deepfakes in the Era of Neural Speech Editing

You Zhang, Baotong Tian, Lin Zhang +1

Neural speech editing enables seamless partial edits to speech utterances, allowing modifications to selected content while preserving the rest of the audio unchanged. This useful…

cs.CV2025

Audio Visual Segmentation Through Text Embeddings

Kyungbok Lee, You Zhang, Zhiyao Duan

The goal of Audio-Visual Segmentation (AVS) is to localize and segment the sounding source objects from video frames. Research on AVS suffers from data scarcity due to the high cos…

cs.SD2024

A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake Detection

Kyungbok Lee, You Zhang, Zhiyao Duan

This paper addresses the challenge of developing a robust audio-visual deepfake detection model. In practical use cases, new generation algorithms are continually emerging, and the…

eess.AS2023

Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech

Enting Zhou, You Zhang, Zhiyao Duan

Dimensional representations of speech emotions such as the arousal-valence (AV) representation provide a continuous and fine-grained description and control than their categorical…

cs.SD2023★ 52 cited

SingFake: Singing Voice Deepfake Detection

Yongyi Zang, You Zhang, Mojtaba Heydari +1

The rise of singing voice synthesis presents critical challenges to artists and industry stakeholders over unauthorized voice usage. Unlike synthesized speech, synthesized singing…

eess.AS2023

Mitigating Cross-Database Differences for Learning Unified HRTF Representation

Yutong Wen, You Zhang, Zhiyao Duan

Individualized head-related transfer functions (HRTFs) are crucial for accurate sound positioning in virtual auditory displays. As the acoustic measurement of HRTFs is resource-int…

cs.SD2023★ 1 cited

Phase perturbation improves channel robustness for speech spoofing countermeasures

Yongyi Zang, You Zhang, Zhiyao Duan

In this paper, we aim to address the problem of channel robustness in speech countermeasure (CM) systems, which are used to distinguish synthetic speech from human natural speech.…

eess.AS2022

SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing

Siwen Ding, You Zhang, Zhiyao Duan

Voice anti-spoofing systems are crucial auxiliaries for automatic speaker verification (ASV) systems. A major challenge is caused by unseen attacks empowered by advanced speech syn…

eess.AS2022★ 1 cited

HRTF Field: Unifying Measured HRTF Magnitude Representation with Neural Fields

You Zhang, Yuxiang Wang, Zhiyao Duan

Head-related transfer functions (HRTFs) are a set of functions describing the spatial filtering effect of the outer ear (i.e., torso, head, and pinnae) onto sound sources at differ…

cs.SD2022

Rethinking Audio-visual Synchronization for Active Speaker Detection

Abudukelimu Wuerkaixi, You Zhang, Zhiyao Duan +1

Active speaker detection (ASD) systems are important modules for analyzing multi-talker conversations. They aim to detect which speakers or none are talking in a visual scene at an…

eess.AS2022★ 3 cited

Predicting Global HRTFs From Scanned Head Geometry Using Deep Learning and Compact Representations

Yuxiang Wang, You Zhang, Zhiyao Duan +1

In the growing field of virtual auditory display, personalized head-related transfer functions (HRTFs) play a vital role in establishing an accurate sound image for mixed and augme…

eess.AS2022★ 16 cited

A Probabilistic Fusion Framework for Spoofing Aware Speaker Verification

You Zhang, Ge Zhu, Zhiyao Duan

The performance of automatic speaker verification (ASV) systems could be degraded by voice spoofing attacks. Most existing works aimed to develop standalone spoofing countermeasure…

eess.AS2021★ 59 cited

UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021

Xinhui Chen, You Zhang, Ge Zhu +1

In this paper, we present UR-AIR system submission to the logical access (LA) and the speech deepfake (DF) tracks of the ASVspoof 2021 Challenge. The LA and DF tasks focus on synth…

eess.AS2021★ 27 cited

An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

You Zhang, Ge Zhu, Fei Jiang +1

Spoofing countermeasure (CM) systems are critical in speaker verification; they aim to discern spoofing attacks from bona fide speech trials. In practice, however, acoustic conditi…

eess.AS2020★ 211 cited

One-class Learning Towards Synthetic Voice Spoofing Detection

You Zhang, Fei Jiang, Zhiyao Duan

Human voices can be used to authenticate the identity of the speaker, but the automatic speaker verification (ASV) systems are vulnerable to voice spoofing attacks, such as imperso…

eess.AS2020★ 9 cited

Speech Driven Talking Face Generation from a Single Image and an Emotion Condition

Sefik Emre Eskimez, You Zhang, Zhiyao Duan

Visual emotion expression plays an important role in audiovisual speech communication. In this work, we propose a novel approach to rendering visual emotion expression in speech-dr…