{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/svdd-2024-the-inaugural-singing-voice","title":"SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge","arxiv_id":"2408.16132","date":"2024-08-28","proceeding":null,"authors":["You Zhang","Yongyi Zang","Jiatong Shi","Ryuichi Yamamoto","Tomoki Toda","Zhiyao Duan"],"abstract":"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 advance research in identifying AI-generated singing voices from authentic singers. This challenge features two tracks: a controlled setting track (CtrSVDD) and an in-the-wild scenario track (WildSVDD). The CtrSVDD track utilizes publicly available singing vocal data to generate deepfakes using state-of-the-art singing voice synthesis and conversion systems. Meanwhile, the WildSVDD track expands upon the existing SingFake dataset, which includes data sourced from popular user-generated content websites. For the CtrSVDD track, we received submissions from 47 teams, with 37 surpassing our baselines and the top team achieving a 1.65% equal error rate. For the WildSVDD track, we benchmarked the baselines. This paper reviews these results, discusses key findings, and outlines future directions for SVDD research.","url_abs":"https://arxiv.org/abs/2408.16132v2","url_pdf":"https://arxiv.org/pdf/2408.16132v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"svdd-2024-the-inaugural-singing-voice","repo_url":"https://github.com/svddchallenge/ctrsvdd2024_baseline","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"deepfake-detection","task_name":"DeepFake Detection"},{"task_slug":"face-swapping","task_name":"Face Swapping"},{"task_slug":"singing-voice-synthesis","task_name":"Singing Voice Synthesis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2408.16132","atlas_url":"https://app.syntology.ai/?focus=2408.16132","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2408.16132"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/svddchallenge/ctrsvdd2024_baseline","reach":{"status":"ok"}}],"summary":{"ran_fixture":1,"ran":2},"by_repo_kind":{"official":{"samples":3,"ran":3,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":3,"samples":[{"code_sha256_prefix":"3a889d3debbcead8","entry":"compute_det_curve","repo":"svddchallenge/ctrsvdd2024_baseline","repo_kind":"official","path":"utils.py","file_url":"https://github.com/svddchallenge/ctrsvdd2024_baseline/blob/HEAD/utils.py","link_basis":"plan_row","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"3a889d3debbcead8"}},{"code_sha256_prefix":"f1be015840088565","entry":"compute_eer","repo":"svddchallenge/ctrsvdd2024_baseline","repo_kind":"official","path":"utils.py","file_url":"https://github.com/svddchallenge/ctrsvdd2024_baseline/blob/HEAD/utils.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"f1be015840088565"}},{"code_sha256_prefix":"e415afaff995419f","entry":"pad_random","repo":"svddchallenge/ctrsvdd2024_baseline","repo_kind":"official","path":"datasets.py","file_url":"https://github.com/svddchallenge/ctrsvdd2024_baseline/blob/HEAD/datasets.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"e415afaff995419f"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}