{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BCZIRSS3BS3HQC3Q4HAEMQ2BU6","short_pith_number":"pith:BCZIRSS3","canonical_record":{"source":{"id":"1906.10369","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-06-25T08:11:20Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"28cd006e11a382a30096254045f937c13d9cf4c5e54660f72d146819e1b44d77","abstract_canon_sha256":"3ac78bddbafa0ad18f3b50c38f777c67a6b13ed24b05d20e914b1c1c8702da30"},"schema_version":"1.0"},"canonical_sha256":"08b288ca5b0cb6780b70e1c0464341a7a81db9dae311fd7d619051db7137620f","source":{"kind":"arxiv","id":"1906.10369","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.10369","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"arxiv_version","alias_value":"1906.10369v1","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.10369","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"pith_short_12","alias_value":"BCZIRSS3BS3H","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BCZIRSS3BS3HQC3Q","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BCZIRSS3","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BCZIRSS3BS3HQC3Q4HAEMQ2BU6","target":"record","payload":{"canonical_record":{"source":{"id":"1906.10369","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-06-25T08:11:20Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"28cd006e11a382a30096254045f937c13d9cf4c5e54660f72d146819e1b44d77","abstract_canon_sha256":"3ac78bddbafa0ad18f3b50c38f777c67a6b13ed24b05d20e914b1c1c8702da30"},"schema_version":"1.0"},"canonical_sha256":"08b288ca5b0cb6780b70e1c0464341a7a81db9dae311fd7d619051db7137620f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:18.263890Z","signature_b64":"Nqlr66ZK/K9CtzomQ1x5QVkzxhkAivSpLPi0puXBOrMl+zV5HE0Zt7WSBYArIRBqvCNDVSeEvbjWNzkDG14FCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08b288ca5b0cb6780b70e1c0464341a7a81db9dae311fd7d619051db7137620f","last_reissued_at":"2026-05-17T23:42:18.263347Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:18.263347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.10369","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:42:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ViVVmxNfRuJj0CmqRT1MItKFT1GoF6quI7qbw5D5BPjx9Qb0T03hfcjhoK4UZtq2qsmkbzZ2xyfuRhUK7AK/Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T05:37:21.821982Z"},"content_sha256":"7c06d29d78c38502987e49082e9785d2e2b21d55e276e4ecb463c8090108f1b2","schema_version":"1.0","event_id":"sha256:7c06d29d78c38502987e49082e9785d2e2b21d55e276e4ecb463c8090108f1b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BCZIRSS3BS3HQC3Q4HAEMQ2BU6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Acoustic Modeling for Automatic Lyrics-to-Audio Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SD"],"primary_cat":"eess.AS","authors_text":"Chitralekha Gupta, Emre Y{\\i}lmaz, Haizhou Li","submitted_at":"2019-06-25T08:11:20Z","abstract_excerpt":"Automatic lyrics to polyphonic audio alignment is a challenging task not only because the vocals are corrupted by background music, but also there is a lack of annotated polyphonic corpus for effective acoustic modeling. In this work, we propose (1) using additional speech and music-informed features and (2) adapting the acoustic models trained on a large amount of solo singing vocals towards polyphonic music using a small amount of in-domain data. Incorporating additional information such as voicing and auditory features together with conventional acoustic features aims to bring robustness ag"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.10369","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:42:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PWUeIyv3XhuEsaJxj3hOcoj8IZJsiPsVF/ti4iV3Dwu7m017OnptapmGgJm4bPgaFSDpUn+O+yMQKqZdjN/3DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T05:37:21.822345Z"},"content_sha256":"8f422865a5445c6c3c2b46dd8545eaa076e1b0701de33e50b06cfa624790b9ca","schema_version":"1.0","event_id":"sha256:8f422865a5445c6c3c2b46dd8545eaa076e1b0701de33e50b06cfa624790b9ca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BCZIRSS3BS3HQC3Q4HAEMQ2BU6/bundle.json","state_url":"https://pith.science/pith/BCZIRSS3BS3HQC3Q4HAEMQ2BU6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BCZIRSS3BS3HQC3Q4HAEMQ2BU6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-03T05:37:21Z","links":{"resolver":"https://pith.science/pith/BCZIRSS3BS3HQC3Q4HAEMQ2BU6","bundle":"https://pith.science/pith/BCZIRSS3BS3HQC3Q4HAEMQ2BU6/bundle.json","state":"https://pith.science/pith/BCZIRSS3BS3HQC3Q4HAEMQ2BU6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BCZIRSS3BS3HQC3Q4HAEMQ2BU6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BCZIRSS3BS3HQC3Q4HAEMQ2BU6","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":"3ac78bddbafa0ad18f3b50c38f777c67a6b13ed24b05d20e914b1c1c8702da30","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-06-25T08:11:20Z","title_canon_sha256":"28cd006e11a382a30096254045f937c13d9cf4c5e54660f72d146819e1b44d77"},"schema_version":"1.0","source":{"id":"1906.10369","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.10369","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"arxiv_version","alias_value":"1906.10369v1","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.10369","created_at":"2026-05-17T23:42:18Z"},{"alias_kind":"pith_short_12","alias_value":"BCZIRSS3BS3H","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BCZIRSS3BS3HQC3Q","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BCZIRSS3","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:8f422865a5445c6c3c2b46dd8545eaa076e1b0701de33e50b06cfa624790b9ca","target":"graph","created_at":"2026-05-17T23:42:18Z","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":"Automatic lyrics to polyphonic audio alignment is a challenging task not only because the vocals are corrupted by background music, but also there is a lack of annotated polyphonic corpus for effective acoustic modeling. In this work, we propose (1) using additional speech and music-informed features and (2) adapting the acoustic models trained on a large amount of solo singing vocals towards polyphonic music using a small amount of in-domain data. Incorporating additional information such as voicing and auditory features together with conventional acoustic features aims to bring robustness ag","authors_text":"Chitralekha Gupta, Emre Y{\\i}lmaz, Haizhou Li","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-06-25T08:11:20Z","title":"Acoustic Modeling for Automatic Lyrics-to-Audio Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.10369","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":"sha256:7c06d29d78c38502987e49082e9785d2e2b21d55e276e4ecb463c8090108f1b2","target":"record","created_at":"2026-05-17T23:42:18Z","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":"3ac78bddbafa0ad18f3b50c38f777c67a6b13ed24b05d20e914b1c1c8702da30","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-06-25T08:11:20Z","title_canon_sha256":"28cd006e11a382a30096254045f937c13d9cf4c5e54660f72d146819e1b44d77"},"schema_version":"1.0","source":{"id":"1906.10369","kind":"arxiv","version":1}},"canonical_sha256":"08b288ca5b0cb6780b70e1c0464341a7a81db9dae311fd7d619051db7137620f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08b288ca5b0cb6780b70e1c0464341a7a81db9dae311fd7d619051db7137620f","first_computed_at":"2026-05-17T23:42:18.263347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:18.263347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Nqlr66ZK/K9CtzomQ1x5QVkzxhkAivSpLPi0puXBOrMl+zV5HE0Zt7WSBYArIRBqvCNDVSeEvbjWNzkDG14FCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:18.263890Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.10369","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c06d29d78c38502987e49082e9785d2e2b21d55e276e4ecb463c8090108f1b2","sha256:8f422865a5445c6c3c2b46dd8545eaa076e1b0701de33e50b06cfa624790b9ca"],"state_sha256":"bb220b9f7660103e1bf21a765f6bcceb66303876abee016afb29ad009f62eb78"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZGr7cYNYtNuDJrvYzMVUsedGgl3y/PRolxw/y9kYOtd30Tva2fu7dBv+dAos4d02BLLb2oauT7S6I2kzdjCOAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T05:37:21.824350Z","bundle_sha256":"caf19a635c9f615a312380626c8abd3850f924db64215eb0c082ccf8af671df9"}}