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

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

URL: http://arxiv.org/abs/2405.05244v1
Date: Wed, 8 May 2024 17:40:12 GMT
Title: SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge Evaluation Plan
Authors: You Zhang, Yongyi Zang, Jiatong Shi, Ryuichi Yamamoto, Jionghao Han, Yuxun Tang, Tomoki Toda, Zhiyao Duan,
Abstract summary: "SVDD Challenge" is the first research challenge focusing on SVDD for lab-controlled and in-the-wild bonafide and deepfake singing voice recordings. The challenge will be held in conjunction with the 2024 IEEE Spoken Language Technology Workshop (SLT 2024)
Score: 44.260755521474735
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: 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 artists and the music industry. Unlike spoken voice, singing voice presents unique challenges due to its musical nature and the presence of strong background music, making singing voice deepfake detection (SVDD) a specialized field requiring focused attention. To promote SVDD research, we recently proposed the "SVDD Challenge," the very first research challenge focusing on SVDD for lab-controlled and in-the-wild bonafide and deepfake singing voice recordings. The challenge will be held in conjunction with the 2024 IEEE Spoken Language Technology Workshop (SLT 2024).

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