{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:LHFKRDD3Q7ZLCSKUTOPOD4FR6U","short_pith_number":"pith:LHFKRDD3","schema_version":"1.0","canonical_sha256":"59caa88c7b87f2b149549b9ee1f0b1f52c8a8c1285c62759518b59c3070981cf","source":{"kind":"arxiv","id":"2507.01356","version":1},"attestation_state":"computed","paper":{"title":"Voice Conversion for Likability Control via Automated Rating of Speech Synthesis Corpora","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Hitoshi Suda, Satoru Fukayama, Shinnosuke Takamichi","submitted_at":"2025-07-02T04:47:43Z","abstract_excerpt":"Perceived voice likability plays a crucial role in various social interactions, such as partner selection and advertising. A system that provides reference likable voice samples tailored to target audiences would enable users to adjust their speaking style and voice quality, facilitating smoother communication. To this end, we propose a voice conversion method that controls the likability of input speech while preserving both speaker identity and linguistic content. To improve training data scalability, we train a likability predictor on an existing voice likability dataset and employ it to au"},"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":"2507.01356","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2025-07-02T04:47:43Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"21594c67dedca3e8eb9cff4fb2903664d31ed053769925b9a8cca6ef17255288","abstract_canon_sha256":"600841e991d4d3850990b774fce527581a12a9ce27643dc4303c32711f528add"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:30:47.333828Z","signature_b64":"6mUWEep3w3eDwJxvN3oGU5JSSLNIwefqpt1Y5Huie/LPxKMvgDXZFlS18kG4g21J1Zc+TU+CEhC2AtGtJDc4BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59caa88c7b87f2b149549b9ee1f0b1f52c8a8c1285c62759518b59c3070981cf","last_reissued_at":"2026-07-05T11:30:47.333331Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:30:47.333331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Voice Conversion for Likability Control via Automated Rating of Speech Synthesis Corpora","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Hitoshi Suda, Satoru Fukayama, Shinnosuke Takamichi","submitted_at":"2025-07-02T04:47:43Z","abstract_excerpt":"Perceived voice likability plays a crucial role in various social interactions, such as partner selection and advertising. A system that provides reference likable voice samples tailored to target audiences would enable users to adjust their speaking style and voice quality, facilitating smoother communication. To this end, we propose a voice conversion method that controls the likability of input speech while preserving both speaker identity and linguistic content. To improve training data scalability, we train a likability predictor on an existing voice likability dataset and employ it to au"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01356","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/2507.01356/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":"2507.01356","created_at":"2026-07-05T11:30:47.333392+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.01356v1","created_at":"2026-07-05T11:30:47.333392+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01356","created_at":"2026-07-05T11:30:47.333392+00:00"},{"alias_kind":"pith_short_12","alias_value":"LHFKRDD3Q7ZL","created_at":"2026-07-05T11:30:47.333392+00:00"},{"alias_kind":"pith_short_16","alias_value":"LHFKRDD3Q7ZLCSKU","created_at":"2026-07-05T11:30:47.333392+00:00"},{"alias_kind":"pith_short_8","alias_value":"LHFKRDD3","created_at":"2026-07-05T11:30:47.333392+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.01356","citing_title":"Voice Conversion for Likability Control via Automated Rating of Speech Synthesis Corpora","ref_index":2,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U","json":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U.json","graph_json":"https://pith.science/api/pith-number/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/graph.json","events_json":"https://pith.science/api/pith-number/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/events.json","paper":"https://pith.science/paper/LHFKRDD3"},"agent_actions":{"view_html":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U","download_json":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U.json","view_paper":"https://pith.science/paper/LHFKRDD3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.01356&json=true","fetch_graph":"https://pith.science/api/pith-number/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/graph.json","fetch_events":"https://pith.science/api/pith-number/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/action/storage_attestation","attest_author":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/action/author_attestation","sign_citation":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/action/citation_signature","submit_replication":"https://pith.science/pith/LHFKRDD3Q7ZLCSKUTOPOD4FR6U/action/replication_record"}},"created_at":"2026-07-05T11:30:47.333392+00:00","updated_at":"2026-07-05T11:30:47.333392+00:00"}