{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:6PPIPWLLPG37AT45AQEX4DF6I6","short_pith_number":"pith:6PPIPWLL","schema_version":"1.0","canonical_sha256":"f3de87d96b79b7f04f9d04097e0cbe47887bab92ff51e62263487560d6a20298","source":{"kind":"arxiv","id":"2307.13948","version":1},"attestation_state":"computed","paper":{"title":"Rethinking Voice-Face Correlation: A Geometry View","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CV","authors_text":"Bhiksha Raj, Jinglu Wang, Muqiao Yang, Rita Singh, Xiang Li, Yandong Wen","submitted_at":"2023-07-26T04:03:10Z","abstract_excerpt":"Previous works on voice-face matching and voice-guided face synthesis demonstrate strong correlations between voice and face, but mainly rely on coarse semantic cues such as gender, age, and emotion. In this paper, we aim to investigate the capability of reconstructing the 3D facial shape from voice from a geometry perspective without any semantic information. We propose a voice-anthropometric measurement (AM)-face paradigm, which identifies predictable facial AMs from the voice and uses them to guide 3D face reconstruction. By leveraging AMs as a proxy to link the voice and face geometry, we "},"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":"2307.13948","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-26T04:03:10Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"5a55b90f786b6a12516e1f5f676e54c02b8b3012fd74187c2a68bec4920059e1","abstract_canon_sha256":"2d960f8ae058fc7ec9ac9d7da0bb00dec7a266b3c3713b18c2146c4a221c81d7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:34:55.396140Z","signature_b64":"6FhHDFsO50gRZkTF1Rs2ZR5fsvOrScTurSs3WKCfFfv+YOfWZ63RAoKXkeUZ00oiQ9KB9iR5TDyj2FlTS7tcAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3de87d96b79b7f04f9d04097e0cbe47887bab92ff51e62263487560d6a20298","last_reissued_at":"2026-07-05T06:34:55.395737Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:34:55.395737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rethinking Voice-Face Correlation: A Geometry View","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CV","authors_text":"Bhiksha Raj, Jinglu Wang, Muqiao Yang, Rita Singh, Xiang Li, Yandong Wen","submitted_at":"2023-07-26T04:03:10Z","abstract_excerpt":"Previous works on voice-face matching and voice-guided face synthesis demonstrate strong correlations between voice and face, but mainly rely on coarse semantic cues such as gender, age, and emotion. In this paper, we aim to investigate the capability of reconstructing the 3D facial shape from voice from a geometry perspective without any semantic information. We propose a voice-anthropometric measurement (AM)-face paradigm, which identifies predictable facial AMs from the voice and uses them to guide 3D face reconstruction. By leveraging AMs as a proxy to link the voice and face geometry, we "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.13948","kind":"arxiv","version":1},"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/2307.13948/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":"2307.13948","created_at":"2026-07-05T06:34:55.395794+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.13948v1","created_at":"2026-07-05T06:34:55.395794+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.13948","created_at":"2026-07-05T06:34:55.395794+00:00"},{"alias_kind":"pith_short_12","alias_value":"6PPIPWLLPG37","created_at":"2026-07-05T06:34:55.395794+00:00"},{"alias_kind":"pith_short_16","alias_value":"6PPIPWLLPG37AT45","created_at":"2026-07-05T06:34:55.395794+00:00"},{"alias_kind":"pith_short_8","alias_value":"6PPIPWLL","created_at":"2026-07-05T06:34:55.395794+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6","json":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6.json","graph_json":"https://pith.science/api/pith-number/6PPIPWLLPG37AT45AQEX4DF6I6/graph.json","events_json":"https://pith.science/api/pith-number/6PPIPWLLPG37AT45AQEX4DF6I6/events.json","paper":"https://pith.science/paper/6PPIPWLL"},"agent_actions":{"view_html":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6","download_json":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6.json","view_paper":"https://pith.science/paper/6PPIPWLL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.13948&json=true","fetch_graph":"https://pith.science/api/pith-number/6PPIPWLLPG37AT45AQEX4DF6I6/graph.json","fetch_events":"https://pith.science/api/pith-number/6PPIPWLLPG37AT45AQEX4DF6I6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6/action/storage_attestation","attest_author":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6/action/author_attestation","sign_citation":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6/action/citation_signature","submit_replication":"https://pith.science/pith/6PPIPWLLPG37AT45AQEX4DF6I6/action/replication_record"}},"created_at":"2026-07-05T06:34:55.395794+00:00","updated_at":"2026-07-05T06:34:55.395794+00:00"}