{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:R2MED4WYVFUH6VJCEMPDQBVYP7","short_pith_number":"pith:R2MED4WY","schema_version":"1.0","canonical_sha256":"8e9841f2d8a9687f5522231e3806b87fc78c2a15a46fef4bde2ee0418024e9b4","source":{"kind":"arxiv","id":"2103.06581","version":1},"attestation_state":"computed","paper":{"title":"Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Janek Ebbers, Reinhold Haeb-Umbach","submitted_at":"2021-03-11T10:18:22Z","abstract_excerpt":"In this paper we present our system for the detection and classification of acoustic scenes and events (DCASE) 2020 Challenge Task 4: Sound event detection and separation in domestic environments. We introduce two new models: the forward-backward convolutional recurrent neural network (FBCRNN) and the tag-conditioned convolutional neural network (CNN). The FBCRNN employs two recurrent neural network (RNN) classifiers sharing the same CNN for preprocessing. With one RNN processing a recording in forward direction and the other in backward direction, the two networks are trained to jointly predi"},"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":"2103.06581","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-03-11T10:18:22Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"d0f6584e1a47d635082c2c62acecc2e89602eb487c5880568fb16535a42f1d71","abstract_canon_sha256":"d8101daaa51ae225b39346cf8fd379d73f03a8a0529cc72bec8d0b19cb8d9a52"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:22:10.747495Z","signature_b64":"JEoXcrcKsOLBHfiR7ZWzgr9A8S75IBb8FtLhRpZasDQ/i8gp1BZZLWlELcjN3+PV2ajqaPX9BRzkYq2kdaeVBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e9841f2d8a9687f5522231e3806b87fc78c2a15a46fef4bde2ee0418024e9b4","last_reissued_at":"2026-07-05T02:22:10.747079Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:22:10.747079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-supervised Sound Event Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Janek Ebbers, Reinhold Haeb-Umbach","submitted_at":"2021-03-11T10:18:22Z","abstract_excerpt":"In this paper we present our system for the detection and classification of acoustic scenes and events (DCASE) 2020 Challenge Task 4: Sound event detection and separation in domestic environments. We introduce two new models: the forward-backward convolutional recurrent neural network (FBCRNN) and the tag-conditioned convolutional neural network (CNN). The FBCRNN employs two recurrent neural network (RNN) classifiers sharing the same CNN for preprocessing. With one RNN processing a recording in forward direction and the other in backward direction, the two networks are trained to jointly predi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06581","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/2103.06581/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":"2103.06581","created_at":"2026-07-05T02:22:10.747134+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.06581v1","created_at":"2026-07-05T02:22:10.747134+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06581","created_at":"2026-07-05T02:22:10.747134+00:00"},{"alias_kind":"pith_short_12","alias_value":"R2MED4WYVFUH","created_at":"2026-07-05T02:22:10.747134+00:00"},{"alias_kind":"pith_short_16","alias_value":"R2MED4WYVFUH6VJC","created_at":"2026-07-05T02:22:10.747134+00:00"},{"alias_kind":"pith_short_8","alias_value":"R2MED4WY","created_at":"2026-07-05T02:22:10.747134+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/R2MED4WYVFUH6VJCEMPDQBVYP7","json":"https://pith.science/pith/R2MED4WYVFUH6VJCEMPDQBVYP7.json","graph_json":"https://pith.science/api/pith-number/R2MED4WYVFUH6VJCEMPDQBVYP7/graph.json","events_json":"https://pith.science/api/pith-number/R2MED4WYVFUH6VJCEMPDQBVYP7/events.json","paper":"https://pith.science/paper/R2MED4WY"},"agent_actions":{"view_html":"https://pith.science/pith/R2MED4WYVFUH6VJCEMPDQBVYP7","download_json":"https://pith.science/pith/R2MED4WYVFUH6VJCEMPDQBVYP7.json","view_paper":"https://pith.science/paper/R2MED4WY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.06581&json=true","fetch_graph":"https://pith.science/api/pith-number/R2MED4WYVFUH6VJCEMPDQBVYP7/graph.json","fetch_events":"https://pith.science/api/pith-number/R2MED4WYVFUH6VJCEMPDQBVYP7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/R2MED4WYVFUH6VJCEMPDQBVYP7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/R2MED4WYVFUH6VJCEMPDQBVYP7/action/storage_attestation","attest_author":"https://pith.science/pith/R2MED4WYVFUH6VJCEMPDQBVYP7/action/author_attestation","sign_citation":"https://pith.science/pith/R2MED4WYVFUH6VJCEMPDQBVYP7/action/citation_signature","submit_replication":"https://pith.science/pith/R2MED4WYVFUH6VJCEMPDQBVYP7/action/replication_record"}},"created_at":"2026-07-05T02:22:10.747134+00:00","updated_at":"2026-07-05T02:22:10.747134+00:00"}