{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:JEMABYEV6J22EUBKQ43XVP25CF","short_pith_number":"pith:JEMABYEV","schema_version":"1.0","canonical_sha256":"491800e095f275a2502a87377abf5d11650a4e047c4b12e683adbf4def5265ee","source":{"kind":"arxiv","id":"1904.05167","version":1},"attestation_state":"computed","paper":{"title":"Speech Enhancement with Wide Residual Networks in Reverberant Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Alfonso Ortega, Antonio Miguel, Dayana Ribas, Eduardo Lleida, Jorge Llombart, Luis Vicente","submitted_at":"2019-04-09T07:46:25Z","abstract_excerpt":"This paper proposes a speech enhancement method which exploits the high potential of residual connections in a Wide Residual Network architecture. This is supported on single dimensional convolutions computed alongside the time domain, which is a powerful approach to process contextually correlated representations through the temporal domain, such as speech feature sequences. We find the residual mechanism extremely useful for the enhancement task since the signal always has a linear shortcut and the non-linear path enhances it in several steps by adding or subtracting corrections. The enhance"},"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":"1904.05167","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-04-09T07:46:25Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"10b7c5ff98baeaad434e6b913c82e1728069dc2d83b33c7b717c062af899aed9","abstract_canon_sha256":"7dd07f0586a19cf8c7a9419a5aa31de1e4cbb89075b2946e1583a0041ef18ad1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:53.942047Z","signature_b64":"pq1/lLXyqGUd+iVg+05Nban0696JZEscV0zMBVzHEw022C/V4icTgi9PtG/p1lCURKwzCU6J3BhHrGz1iqwoDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"491800e095f275a2502a87377abf5d11650a4e047c4b12e683adbf4def5265ee","last_reissued_at":"2026-05-17T23:48:53.941601Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:53.941601Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Speech Enhancement with Wide Residual Networks in Reverberant Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Alfonso Ortega, Antonio Miguel, Dayana Ribas, Eduardo Lleida, Jorge Llombart, Luis Vicente","submitted_at":"2019-04-09T07:46:25Z","abstract_excerpt":"This paper proposes a speech enhancement method which exploits the high potential of residual connections in a Wide Residual Network architecture. This is supported on single dimensional convolutions computed alongside the time domain, which is a powerful approach to process contextually correlated representations through the temporal domain, such as speech feature sequences. We find the residual mechanism extremely useful for the enhancement task since the signal always has a linear shortcut and the non-linear path enhances it in several steps by adding or subtracting corrections. The enhance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.05167","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":"1904.05167","created_at":"2026-05-17T23:48:53.941669+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.05167v1","created_at":"2026-05-17T23:48:53.941669+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.05167","created_at":"2026-05-17T23:48:53.941669+00:00"},{"alias_kind":"pith_short_12","alias_value":"JEMABYEV6J22","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_16","alias_value":"JEMABYEV6J22EUBK","created_at":"2026-05-18T12:33:18.533446+00:00"},{"alias_kind":"pith_short_8","alias_value":"JEMABYEV","created_at":"2026-05-18T12:33:18.533446+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/JEMABYEV6J22EUBKQ43XVP25CF","json":"https://pith.science/pith/JEMABYEV6J22EUBKQ43XVP25CF.json","graph_json":"https://pith.science/api/pith-number/JEMABYEV6J22EUBKQ43XVP25CF/graph.json","events_json":"https://pith.science/api/pith-number/JEMABYEV6J22EUBKQ43XVP25CF/events.json","paper":"https://pith.science/paper/JEMABYEV"},"agent_actions":{"view_html":"https://pith.science/pith/JEMABYEV6J22EUBKQ43XVP25CF","download_json":"https://pith.science/pith/JEMABYEV6J22EUBKQ43XVP25CF.json","view_paper":"https://pith.science/paper/JEMABYEV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.05167&json=true","fetch_graph":"https://pith.science/api/pith-number/JEMABYEV6J22EUBKQ43XVP25CF/graph.json","fetch_events":"https://pith.science/api/pith-number/JEMABYEV6J22EUBKQ43XVP25CF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JEMABYEV6J22EUBKQ43XVP25CF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JEMABYEV6J22EUBKQ43XVP25CF/action/storage_attestation","attest_author":"https://pith.science/pith/JEMABYEV6J22EUBKQ43XVP25CF/action/author_attestation","sign_citation":"https://pith.science/pith/JEMABYEV6J22EUBKQ43XVP25CF/action/citation_signature","submit_replication":"https://pith.science/pith/JEMABYEV6J22EUBKQ43XVP25CF/action/replication_record"}},"created_at":"2026-05-17T23:48:53.941669+00:00","updated_at":"2026-05-17T23:48:53.941669+00:00"}