{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:N32QC4UYNLB5DVZGXFTLEQWCVQ","short_pith_number":"pith:N32QC4UY","schema_version":"1.0","canonical_sha256":"6ef50172986ac3d1d726b966b242c2ac2918d9046f8f535c8fbbfa3744f1f726","source":{"kind":"arxiv","id":"1808.02171","version":1},"attestation_state":"computed","paper":{"title":"Dialog-context aware end-to-end speech recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Florian Metze, Suyoun Kim","submitted_at":"2018-08-07T01:04:39Z","abstract_excerpt":"Existing speech recognition systems are typically built at the sentence level, although it is known that dialog context, e.g. higher-level knowledge that spans across sentences or speakers, can help the processing of long conversations. The recent progress in end-to-end speech recognition systems promises to integrate all available information (e.g. acoustic, language resources) into a single model, which is then jointly optimized. It seems natural that such dialog context information should thus also be integrated into the end-to-end models to improve further recognition accuracy. In this wor"},"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":"1808.02171","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-07T01:04:39Z","cross_cats_sorted":[],"title_canon_sha256":"f7b5ec6444c737bb6b767c1c92b5beea22a84cd63dbf2ec232503013cbbfbf0c","abstract_canon_sha256":"965335ba17ba2e9bc078ddaf47050c6268dec9f32b90a7628152918fbbcc249a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:47.377333Z","signature_b64":"766J+6F5V1Ab9mgyRfb8gpNJ0/4FUD8RU1khgzdwS5WO7NueX9ghLK7osfmcwbRftMWYM+4VwnQGRXoIvuSHAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ef50172986ac3d1d726b966b242c2ac2918d9046f8f535c8fbbfa3744f1f726","last_reissued_at":"2026-05-18T00:08:47.376680Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:47.376680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Dialog-context aware end-to-end speech recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Florian Metze, Suyoun Kim","submitted_at":"2018-08-07T01:04:39Z","abstract_excerpt":"Existing speech recognition systems are typically built at the sentence level, although it is known that dialog context, e.g. higher-level knowledge that spans across sentences or speakers, can help the processing of long conversations. The recent progress in end-to-end speech recognition systems promises to integrate all available information (e.g. acoustic, language resources) into a single model, which is then jointly optimized. It seems natural that such dialog context information should thus also be integrated into the end-to-end models to improve further recognition accuracy. In this wor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.02171","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":"1808.02171","created_at":"2026-05-18T00:08:47.376772+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.02171v1","created_at":"2026-05-18T00:08:47.376772+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.02171","created_at":"2026-05-18T00:08:47.376772+00:00"},{"alias_kind":"pith_short_12","alias_value":"N32QC4UYNLB5","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_16","alias_value":"N32QC4UYNLB5DVZG","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_8","alias_value":"N32QC4UY","created_at":"2026-05-18T12:32:40.477152+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/N32QC4UYNLB5DVZGXFTLEQWCVQ","json":"https://pith.science/pith/N32QC4UYNLB5DVZGXFTLEQWCVQ.json","graph_json":"https://pith.science/api/pith-number/N32QC4UYNLB5DVZGXFTLEQWCVQ/graph.json","events_json":"https://pith.science/api/pith-number/N32QC4UYNLB5DVZGXFTLEQWCVQ/events.json","paper":"https://pith.science/paper/N32QC4UY"},"agent_actions":{"view_html":"https://pith.science/pith/N32QC4UYNLB5DVZGXFTLEQWCVQ","download_json":"https://pith.science/pith/N32QC4UYNLB5DVZGXFTLEQWCVQ.json","view_paper":"https://pith.science/paper/N32QC4UY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.02171&json=true","fetch_graph":"https://pith.science/api/pith-number/N32QC4UYNLB5DVZGXFTLEQWCVQ/graph.json","fetch_events":"https://pith.science/api/pith-number/N32QC4UYNLB5DVZGXFTLEQWCVQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/N32QC4UYNLB5DVZGXFTLEQWCVQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/N32QC4UYNLB5DVZGXFTLEQWCVQ/action/storage_attestation","attest_author":"https://pith.science/pith/N32QC4UYNLB5DVZGXFTLEQWCVQ/action/author_attestation","sign_citation":"https://pith.science/pith/N32QC4UYNLB5DVZGXFTLEQWCVQ/action/citation_signature","submit_replication":"https://pith.science/pith/N32QC4UYNLB5DVZGXFTLEQWCVQ/action/replication_record"}},"created_at":"2026-05-18T00:08:47.376772+00:00","updated_at":"2026-05-18T00:08:47.376772+00:00"}