{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3IMIZ6FKRLUSLMG5LMV6FDB3Y2","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"25bbd6db81b897d3d86d05db9d5bc1a63b9fb683cce3bd2a302532bba047686e","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-06-06T14:44:36Z","title_canon_sha256":"7107351e439e32f64735eec01354ffd5862c7de9b4e887887d155a0a62c036e8"},"schema_version":"1.0","source":{"id":"1906.02618","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02618","created_at":"2026-05-17T23:44:00Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02618v1","created_at":"2026-05-17T23:44:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02618","created_at":"2026-05-17T23:44:00Z"},{"alias_kind":"pith_short_12","alias_value":"3IMIZ6FKRLUS","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"3IMIZ6FKRLUSLMG5","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"3IMIZ6FK","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:8636dec6e3f0f45d9899647a7cc7714e7eb4e4d173e17227a79df7e5549e48f9","target":"graph","created_at":"2026-05-17T23:44:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In the recent years, singing voice separation systems showed increased performance due to the use of supervised training. The design of training datasets is known as a crucial factor in the performance of such systems. We investigate on how the characteristics of the training dataset impacts the separation performances of state-of-the-art singing voice separation algorithms. We show that the separation quality and diversity are two important and complementary assets of a good training dataset. We also provide insights on possible transforms to perform data augmentation for this task.","authors_text":"Andrea Vaglio, Jimena Royo-Letelier, Laure Pr\\'etet, Romain Hennequin","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-06-06T14:44:36Z","title":"Singing voice separation: a study on training data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02618","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f4452fc232ee552c4da5933285418ddb77a4b81c1372f19a90cba012813cdf30","target":"record","created_at":"2026-05-17T23:44:00Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"25bbd6db81b897d3d86d05db9d5bc1a63b9fb683cce3bd2a302532bba047686e","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-06-06T14:44:36Z","title_canon_sha256":"7107351e439e32f64735eec01354ffd5862c7de9b4e887887d155a0a62c036e8"},"schema_version":"1.0","source":{"id":"1906.02618","kind":"arxiv","version":1}},"canonical_sha256":"da188cf8aa8ae925b0dd5b2be28c3bc6a93940a8c86593fd527a0a25c89eba7a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da188cf8aa8ae925b0dd5b2be28c3bc6a93940a8c86593fd527a0a25c89eba7a","first_computed_at":"2026-05-17T23:44:00.586578Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:00.586578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2BgXn79VdpZszdS6OK9Pud0SHSGjEdMiLaSSopoQ1yYKgUuIr702KdNLPyHnW1/faP6bkuW1fi38z0ShHlurDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:00.587114Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.02618","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4452fc232ee552c4da5933285418ddb77a4b81c1372f19a90cba012813cdf30","sha256:8636dec6e3f0f45d9899647a7cc7714e7eb4e4d173e17227a79df7e5549e48f9"],"state_sha256":"b3014297eb5fbac573eba196e7b742a62d0dea8a1bfd19f902e4854f4aa4f5a2"}