{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:7WHVPB4YLFH3GMSPWS4QROMK47","short_pith_number":"pith:7WHVPB4Y","schema_version":"1.0","canonical_sha256":"fd8f578798594fb3324fb4b908b98ae7fc973c710e2e17c75f62208d86a996d1","source":{"kind":"arxiv","id":"2404.02677","version":2},"attestation_state":"computed","paper":{"title":"The VoicePrivacy 2024 Challenge Evaluation Plan","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CR"],"primary_cat":"eess.AS","authors_text":"Emmanuel Vincent, Junichi Yamagishi, Massimiliano Todisco, Michele Panariello, Natalia Tomashenko, Nicholas Evans, Pierre Champion, Sarina Meyer, Xiaoxiao Miao, Xin Wang","submitted_at":"2024-04-03T12:20:51Z","abstract_excerpt":"The task of the challenge is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting linguistic content and emotional states. The organizers provide development and evaluation datasets and evaluation scripts, as well as baseline anonymization systems and a list of training resources formed on the basis of the participants' requests. Participants apply their developed anonymization systems, run evaluation scripts and submit evaluation results and anonymized speech data to the organizers. Results will be presented at a workshop held in"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2404.02677","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-04-03T12:20:51Z","cross_cats_sorted":["cs.CL","cs.CR"],"title_canon_sha256":"bb9ebbd72198a5f488f721749cd052b0da9f76a02d7883e33f57382156d523cd","abstract_canon_sha256":"2268e000bd644f646c499eebbd56f11a1042b56a1e19a5277917c0a48e99797f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:30:51.457003Z","signature_b64":"RgL3xW9vpxRaPOrEOsCufWp65VlJ7AeaXrt1E36zEvdhqjQ/qvHcnBDTquRdO3UOcbf5B3vGRCVAOR9HsANUDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd8f578798594fb3324fb4b908b98ae7fc973c710e2e17c75f62208d86a996d1","last_reissued_at":"2026-07-05T08:30:51.455443Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:30:51.455443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The VoicePrivacy 2024 Challenge Evaluation Plan","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.CR"],"primary_cat":"eess.AS","authors_text":"Emmanuel Vincent, Junichi Yamagishi, Massimiliano Todisco, Michele Panariello, Natalia Tomashenko, Nicholas Evans, Pierre Champion, Sarina Meyer, Xiaoxiao Miao, Xin Wang","submitted_at":"2024-04-03T12:20:51Z","abstract_excerpt":"The task of the challenge is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting linguistic content and emotional states. The organizers provide development and evaluation datasets and evaluation scripts, as well as baseline anonymization systems and a list of training resources formed on the basis of the participants' requests. Participants apply their developed anonymization systems, run evaluation scripts and submit evaluation results and anonymized speech data to the organizers. Results will be presented at a workshop held in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02677","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2404.02677/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2404.02677","created_at":"2026-07-05T08:30:51.455617+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.02677v2","created_at":"2026-07-05T08:30:51.455617+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02677","created_at":"2026-07-05T08:30:51.455617+00:00"},{"alias_kind":"pith_short_12","alias_value":"7WHVPB4YLFH3","created_at":"2026-07-05T08:30:51.455617+00:00"},{"alias_kind":"pith_short_16","alias_value":"7WHVPB4YLFH3GMSP","created_at":"2026-07-05T08:30:51.455617+00:00"},{"alias_kind":"pith_short_8","alias_value":"7WHVPB4Y","created_at":"2026-07-05T08:30:51.455617+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":8,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.07210","citing_title":"A Large-Scale Per-Speaker Analysis of Re-identification Risk in Speech Anonymization","ref_index":14,"is_internal_anchor":false},{"citing_arxiv_id":"2606.29575","citing_title":"TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation","ref_index":18,"is_internal_anchor":false},{"citing_arxiv_id":"2606.29575","citing_title":"TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation","ref_index":18,"is_internal_anchor":false},{"citing_arxiv_id":"2606.00407","citing_title":"Privacy-preserving Prosody Representation Learning","ref_index":39,"is_internal_anchor":false},{"citing_arxiv_id":"2505.00409","citing_title":"Perceptual implications of automatic anonymization in pathological speech","ref_index":80,"is_internal_anchor":false},{"citing_arxiv_id":"2507.12081","citing_title":"VoxATtack: A Multimodal Attack on Voice Anonymization Systems","ref_index":5,"is_internal_anchor":false},{"citing_arxiv_id":"2605.07291","citing_title":"Evaluating voice anonymisation using similarity rank disclosure","ref_index":14,"is_internal_anchor":false},{"citing_arxiv_id":"2604.17000","citing_title":"Anonymization, Not Elimination: Utility-Preserved Speech Anonymization","ref_index":9,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47","json":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47.json","graph_json":"https://pith.science/api/pith-number/7WHVPB4YLFH3GMSPWS4QROMK47/graph.json","events_json":"https://pith.science/api/pith-number/7WHVPB4YLFH3GMSPWS4QROMK47/events.json","paper":"https://pith.science/paper/7WHVPB4Y"},"agent_actions":{"view_html":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47","download_json":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47.json","view_paper":"https://pith.science/paper/7WHVPB4Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.02677&json=true","fetch_graph":"https://pith.science/api/pith-number/7WHVPB4YLFH3GMSPWS4QROMK47/graph.json","fetch_events":"https://pith.science/api/pith-number/7WHVPB4YLFH3GMSPWS4QROMK47/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47/action/storage_attestation","attest_author":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47/action/author_attestation","sign_citation":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47/action/citation_signature","submit_replication":"https://pith.science/pith/7WHVPB4YLFH3GMSPWS4QROMK47/action/replication_record"}},"created_at":"2026-07-05T08:30:51.455617+00:00","updated_at":"2026-07-05T08:30:51.455617+00:00"}