activity
20232026
most citedSingFake: Singing Voice Deepfake Detection

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

collaborators
Showing cs.SDShow all

5 papers · 1 filter

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…

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…

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.…