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).

翻译：人工智能生成的歌声已能高度模仿自然人声并与乐谱无缝对齐，其快速发展引发了艺术家及音乐行业的深切担忧。与语音不同，歌声因其音乐属性和强背景音乐的存在而面临独特挑战，这使得歌声深度伪造检测（SVDD）成为一个需要重点关注的专业领域。为推进SVDD研究，我们近期发起了"SVDD挑战赛"——这是首个聚焦实验室控制与真实场景下各类真伪歌声录音检测的研究型竞赛。该挑战赛将与2024年IEEE口语语言技术研讨会（SLT 2024）同期举办。