{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:2R63KKOAX7FD7Z2YD4DIVXYEX5","short_pith_number":"pith:2R63KKOA","schema_version":"1.0","canonical_sha256":"d47db529c0bfca3fe7581f068adf04bf5407dfa290910235f6867ab4e3028a87","source":{"kind":"arxiv","id":"1903.04124","version":1},"attestation_state":"computed","paper":{"title":"Singing voice conversion with non-parallel data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD","stat.ML"],"primary_cat":"eess.AS","authors_text":"Jinxi Guo, Ning Xu, Wei Chu, Xin Chen","submitted_at":"2019-03-11T04:52:36Z","abstract_excerpt":"Singing voice conversion is a task to convert a song sang by a source singer to the voice of a target singer. In this paper, we propose using a parallel data free, many-to-one voice conversion technique on singing voices. A phonetic posterior feature is first generated by decoding singing voices through a robust Automatic Speech Recognition Engine (ASR). Then, a trained Recurrent Neural Network (RNN) with a Deep Bidirectional Long Short Term Memory (DBLSTM) structure is used to model the mapping from person-independent content to the acoustic features of the target person. F0 and aperiodic are"},"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":"1903.04124","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-03-11T04:52:36Z","cross_cats_sorted":["cs.LG","cs.SD","stat.ML"],"title_canon_sha256":"c6803b171c2e16cda8e2ccdeaa72c7d215572a19aeeb3e1eda67cdc2b90b9345","abstract_canon_sha256":"c61636accea6a2b086b05b921f5fbdea66f6dbcb48a19463125fb09ef2912b80"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:38.613786Z","signature_b64":"DzWEs5a2Sc14ee1DC0Es5creizf5lmsrVr9q45C0GR5rkLBwv3CUk5bXbrQyAK/VdccQ9D64RbFvxGWU0t0aDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d47db529c0bfca3fe7581f068adf04bf5407dfa290910235f6867ab4e3028a87","last_reissued_at":"2026-05-17T23:51:38.613176Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:38.613176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Singing voice conversion with non-parallel data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD","stat.ML"],"primary_cat":"eess.AS","authors_text":"Jinxi Guo, Ning Xu, Wei Chu, Xin Chen","submitted_at":"2019-03-11T04:52:36Z","abstract_excerpt":"Singing voice conversion is a task to convert a song sang by a source singer to the voice of a target singer. In this paper, we propose using a parallel data free, many-to-one voice conversion technique on singing voices. A phonetic posterior feature is first generated by decoding singing voices through a robust Automatic Speech Recognition Engine (ASR). Then, a trained Recurrent Neural Network (RNN) with a Deep Bidirectional Long Short Term Memory (DBLSTM) structure is used to model the mapping from person-independent content to the acoustic features of the target person. F0 and aperiodic are"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04124","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":""},"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":"1903.04124","created_at":"2026-05-17T23:51:38.613257+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.04124v1","created_at":"2026-05-17T23:51:38.613257+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04124","created_at":"2026-05-17T23:51:38.613257+00:00"},{"alias_kind":"pith_short_12","alias_value":"2R63KKOAX7FD","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_16","alias_value":"2R63KKOAX7FD7Z2Y","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_8","alias_value":"2R63KKOA","created_at":"2026-05-18T12:33:07.085635+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/2R63KKOAX7FD7Z2YD4DIVXYEX5","json":"https://pith.science/pith/2R63KKOAX7FD7Z2YD4DIVXYEX5.json","graph_json":"https://pith.science/api/pith-number/2R63KKOAX7FD7Z2YD4DIVXYEX5/graph.json","events_json":"https://pith.science/api/pith-number/2R63KKOAX7FD7Z2YD4DIVXYEX5/events.json","paper":"https://pith.science/paper/2R63KKOA"},"agent_actions":{"view_html":"https://pith.science/pith/2R63KKOAX7FD7Z2YD4DIVXYEX5","download_json":"https://pith.science/pith/2R63KKOAX7FD7Z2YD4DIVXYEX5.json","view_paper":"https://pith.science/paper/2R63KKOA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.04124&json=true","fetch_graph":"https://pith.science/api/pith-number/2R63KKOAX7FD7Z2YD4DIVXYEX5/graph.json","fetch_events":"https://pith.science/api/pith-number/2R63KKOAX7FD7Z2YD4DIVXYEX5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2R63KKOAX7FD7Z2YD4DIVXYEX5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2R63KKOAX7FD7Z2YD4DIVXYEX5/action/storage_attestation","attest_author":"https://pith.science/pith/2R63KKOAX7FD7Z2YD4DIVXYEX5/action/author_attestation","sign_citation":"https://pith.science/pith/2R63KKOAX7FD7Z2YD4DIVXYEX5/action/citation_signature","submit_replication":"https://pith.science/pith/2R63KKOAX7FD7Z2YD4DIVXYEX5/action/replication_record"}},"created_at":"2026-05-17T23:51:38.613257+00:00","updated_at":"2026-05-17T23:51:38.613257+00:00"}