{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QSPR7JYPKYQNF2UFUJV3SAR7A2","short_pith_number":"pith:QSPR7JYP","canonical_record":{"source":{"id":"1904.04294","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-08T18:48:45Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"698b077b5fca37c5c076fcbce96e020a48ef3689db6dbcf0ac49a6b86727e835","abstract_canon_sha256":"395275dc1c07aaae792dcfd92fc3ce1ef742acd492fb7a1466d2599de34788a3"},"schema_version":"1.0"},"canonical_sha256":"849f1fa70f5620d2ea85a26bb9023f06b3182dc977b5cb37dc401319f084c919","source":{"kind":"arxiv","id":"1904.04294","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04294","created_at":"2026-05-17T23:40:03Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04294v2","created_at":"2026-05-17T23:40:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04294","created_at":"2026-05-17T23:40:03Z"},{"alias_kind":"pith_short_12","alias_value":"QSPR7JYPKYQN","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QSPR7JYPKYQNF2UF","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QSPR7JYP","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QSPR7JYPKYQNF2UFUJV3SAR7A2","target":"record","payload":{"canonical_record":{"source":{"id":"1904.04294","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-08T18:48:45Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"698b077b5fca37c5c076fcbce96e020a48ef3689db6dbcf0ac49a6b86727e835","abstract_canon_sha256":"395275dc1c07aaae792dcfd92fc3ce1ef742acd492fb7a1466d2599de34788a3"},"schema_version":"1.0"},"canonical_sha256":"849f1fa70f5620d2ea85a26bb9023f06b3182dc977b5cb37dc401319f084c919","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:03.605183Z","signature_b64":"VPJok0NmPmSY8LWNSEANV2aDpUkXx07PVVc9o7CdXzUydB7l4wTrR4/GIFS8FpXijRiCcPlln9PVzo5aADkhCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"849f1fa70f5620d2ea85a26bb9023f06b3182dc977b5cb37dc401319f084c919","last_reissued_at":"2026-05-17T23:40:03.604529Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:03.604529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.04294","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:40:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zGubs57EHyJA/Q/4PJyIuwkO2832046IXXwfsEGhtr0YMC6imr9l+Z+UlPV9B4XW4+cOsfxtYbwXmarzebdCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T03:05:10.128580Z"},"content_sha256":"55d4fd120fc5c7cada68d475c786d5baa6a6fc5799ac16c1c5251c68cf3cfa51","schema_version":"1.0","event_id":"sha256:55d4fd120fc5c7cada68d475c786d5baa6a6fc5799ac16c1c5251c68cf3cfa51"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QSPR7JYPKYQNF2UFUJV3SAR7A2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Methods for the Automatic Detection of Errors in Manual Transcription","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Hynek Hermansky, Jinyi Yang, Ruizhi Li, Samik Sadhu, Xiaofei Wang","submitted_at":"2019-04-08T18:48:45Z","abstract_excerpt":"Quality of data plays an important role in most deep learning tasks. In the speech community, transcription of speech recording is indispensable. Since the transcription is usually generated artificially, automatically finding errors in manual transcriptions not only saves time and labors but benefits the performance of tasks that need the training process. Inspired by the success of hybrid automatic speech recognition using both language model and acoustic model, two approaches of automatic error detection in the transcriptions have been explored in this work. Previous study using a biased la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04294","kind":"arxiv","version":2},"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":"2026-05-17T23:40:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bc6RtpN9xsR47rUYQ/ktIzX4WPaHXZIt6h4k56whjWuPK9qqALMzsbCCPRT/VUw4WR3vd0uVqeH9kYk6PxFbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T03:05:10.129268Z"},"content_sha256":"4705098dc6f744d2bd209eeb03f09fcbb5b946da450f327addd57f9d47f28963","schema_version":"1.0","event_id":"sha256:4705098dc6f744d2bd209eeb03f09fcbb5b946da450f327addd57f9d47f28963"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QSPR7JYPKYQNF2UFUJV3SAR7A2/bundle.json","state_url":"https://pith.science/pith/QSPR7JYPKYQNF2UFUJV3SAR7A2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QSPR7JYPKYQNF2UFUJV3SAR7A2/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":"2026-05-25T03:05:10Z","links":{"resolver":"https://pith.science/pith/QSPR7JYPKYQNF2UFUJV3SAR7A2","bundle":"https://pith.science/pith/QSPR7JYPKYQNF2UFUJV3SAR7A2/bundle.json","state":"https://pith.science/pith/QSPR7JYPKYQNF2UFUJV3SAR7A2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QSPR7JYPKYQNF2UFUJV3SAR7A2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QSPR7JYPKYQNF2UFUJV3SAR7A2","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":"395275dc1c07aaae792dcfd92fc3ce1ef742acd492fb7a1466d2599de34788a3","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-08T18:48:45Z","title_canon_sha256":"698b077b5fca37c5c076fcbce96e020a48ef3689db6dbcf0ac49a6b86727e835"},"schema_version":"1.0","source":{"id":"1904.04294","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04294","created_at":"2026-05-17T23:40:03Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04294v2","created_at":"2026-05-17T23:40:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04294","created_at":"2026-05-17T23:40:03Z"},{"alias_kind":"pith_short_12","alias_value":"QSPR7JYPKYQN","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"QSPR7JYPKYQNF2UF","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"QSPR7JYP","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:4705098dc6f744d2bd209eeb03f09fcbb5b946da450f327addd57f9d47f28963","target":"graph","created_at":"2026-05-17T23:40:03Z","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":"Quality of data plays an important role in most deep learning tasks. In the speech community, transcription of speech recording is indispensable. Since the transcription is usually generated artificially, automatically finding errors in manual transcriptions not only saves time and labors but benefits the performance of tasks that need the training process. Inspired by the success of hybrid automatic speech recognition using both language model and acoustic model, two approaches of automatic error detection in the transcriptions have been explored in this work. Previous study using a biased la","authors_text":"Hynek Hermansky, Jinyi Yang, Ruizhi Li, Samik Sadhu, Xiaofei Wang","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-08T18:48:45Z","title":"Exploring Methods for the Automatic Detection of Errors in Manual Transcription"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04294","kind":"arxiv","version":2},"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":"sha256:55d4fd120fc5c7cada68d475c786d5baa6a6fc5799ac16c1c5251c68cf3cfa51","target":"record","created_at":"2026-05-17T23:40:03Z","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":"395275dc1c07aaae792dcfd92fc3ce1ef742acd492fb7a1466d2599de34788a3","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-04-08T18:48:45Z","title_canon_sha256":"698b077b5fca37c5c076fcbce96e020a48ef3689db6dbcf0ac49a6b86727e835"},"schema_version":"1.0","source":{"id":"1904.04294","kind":"arxiv","version":2}},"canonical_sha256":"849f1fa70f5620d2ea85a26bb9023f06b3182dc977b5cb37dc401319f084c919","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"849f1fa70f5620d2ea85a26bb9023f06b3182dc977b5cb37dc401319f084c919","first_computed_at":"2026-05-17T23:40:03.604529Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:03.604529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VPJok0NmPmSY8LWNSEANV2aDpUkXx07PVVc9o7CdXzUydB7l4wTrR4/GIFS8FpXijRiCcPlln9PVzo5aADkhCA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:03.605183Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.04294","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55d4fd120fc5c7cada68d475c786d5baa6a6fc5799ac16c1c5251c68cf3cfa51","sha256:4705098dc6f744d2bd209eeb03f09fcbb5b946da450f327addd57f9d47f28963"],"state_sha256":"8cbd64dfb4f5106a851319a65e8fe155e0239b46947c26959bdc05786fa57be1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m4I4t/jBC1hg4hPgh87kkyb5FpiOBHK6p+1Ep/VT6IOsmMrjWKPC7XzlkZfAUJ0MrlDhEoD6Z7sLkHFoK5zCCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T03:05:10.133093Z","bundle_sha256":"1131e68f524049222d0af78b957b62d9ceabc98924477765a028ed779fdd466d"}}