activity
20232026
most citedSingFake: Singing Voice Deepfake Detection

52 citations · 93 across the 9 of their papers we have counts for

collaborators

10 papers

hep-ph2026

Brownian GPDs: A Stochastic Calculus Approach to Generalized Parton Distributions from Integral Constraints

Douglas Q. Adams, Simonetta Liuti, Zaki Panjsheeri +1

We present a stochastic calculus approach for modeling generalized parton distribution functions using information provided from lattice QCD calculations of Mellin moments, without…

eess.AS2025

ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech

Xin Wang, Héctor Delgado, Hemlata Tak +26

ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech spoofing and deepfake attacks as well as the design of detection solutions. We introduce…

eess.AS2024★ 15 cited

SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge

You Zhang, Yongyi Zang, Jiatong Shi +3

With the advancements in singing voice generation and the growing presence of AI singers on media platforms, the inaugural Singing Voice Deepfake Detection (SVDD) Challenge aims to…

cs.SD2024

The Interpretation Gap in Text-to-Music Generation Models

Yongyi Zang, Yixiao Zhang

Large-scale text-to-music generation models have significantly enhanced music creation capabilities, offering unprecedented creative freedom. However, their ability to collaborate…

eess.AS2024★ 14 cited

CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection

Yongyi Zang, Jiatong Shi, You Zhang +8

Recent singing voice synthesis and conversion advancements necessitate robust singing voice deepfake detection (SVDD) models. Current SVDD datasets face challenges due to limited c…

cs.SD2024

Ambisonizer: Neural Upmixing as Spherical Harmonics Generation

Yongyi Zang, Yifan Wang, Minglun Lee

Neural upmixing, the task of generating immersive music with an increased number of channels from fewer input channels, has been an active research area, with mono-to-stereo and st…

eess.AS2024★ 3 cited

SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge Evaluation Plan

You Zhang, Yongyi Zang, Jiatong Shi +5

The rapid advancement of AI-generated singing voices, which now closely mimic natural human singing and align seamlessly with musical scores, has led to heightened concerns for art…

cs.SD2023★ 8 cited

SynthTab: Leveraging Synthesized Data for Guitar Tablature Transcription

Yongyi Zang, Yi Zhong, Frank Cwitkowitz +1

Guitar tablature is a form of music notation widely used among guitarists. It captures not only the musical content of a piece, but also its implementation and ornamentation on the…

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…

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.…