52 citations · 93 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…