{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:XYTBLKP6EFWKPZDTAP3BSOD5IF","short_pith_number":"pith:XYTBLKP6","schema_version":"1.0","canonical_sha256":"be2615a9fe216ca7e47303f619387d415446ba1937c114b20509db0ce0a2a078","source":{"kind":"arxiv","id":"1902.07178","version":1},"attestation_state":"computed","paper":{"title":"A spelling correction model for end-to-end speech recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Jinxi Guo, Ron J. Weiss, Tara N. Sainath","submitted_at":"2019-02-19T18:18:59Z","abstract_excerpt":"Attention-based sequence-to-sequence models for speech recognition jointly train an acoustic model, language model (LM), and alignment mechanism using a single neural network and require only parallel audio-text pairs. Thus, the language model component of the end-to-end model is only trained on transcribed audio-text pairs, which leads to performance degradation especially on rare words. While there have been a variety of work that look at incorporating an external LM trained on text-only data into the end-to-end framework, none of them have taken into account the characteristic error distrib"},"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":"1902.07178","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-02-19T18:18:59Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG","cs.SD"],"title_canon_sha256":"afc7e3d3670f0db19b073868c6c85f645312ac51879e8269749541df649bc594","abstract_canon_sha256":"555360f4bac9346739ea3c37b2d36206378ec153c9878ceac5dbc48f210344ee"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:39.718282Z","signature_b64":"rGsDY23CeHt5kvBcSHOIJ6nq9L8OXYbFVKtLEt5+GzIv41+oiQrLOtBbvFD5mn8whR0nc6ei66BaLL1kVl41AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be2615a9fe216ca7e47303f619387d415446ba1937c114b20509db0ce0a2a078","last_reissued_at":"2026-05-17T23:53:39.717512Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:39.717512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A spelling correction model for end-to-end speech recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Jinxi Guo, Ron J. Weiss, Tara N. Sainath","submitted_at":"2019-02-19T18:18:59Z","abstract_excerpt":"Attention-based sequence-to-sequence models for speech recognition jointly train an acoustic model, language model (LM), and alignment mechanism using a single neural network and require only parallel audio-text pairs. Thus, the language model component of the end-to-end model is only trained on transcribed audio-text pairs, which leads to performance degradation especially on rare words. While there have been a variety of work that look at incorporating an external LM trained on text-only data into the end-to-end framework, none of them have taken into account the characteristic error distrib"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.07178","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":"1902.07178","created_at":"2026-05-17T23:53:39.717644+00:00"},{"alias_kind":"arxiv_version","alias_value":"1902.07178v1","created_at":"2026-05-17T23:53:39.717644+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.07178","created_at":"2026-05-17T23:53:39.717644+00:00"},{"alias_kind":"pith_short_12","alias_value":"XYTBLKP6EFWK","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_16","alias_value":"XYTBLKP6EFWKPZDT","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_8","alias_value":"XYTBLKP6","created_at":"2026-05-18T12:33:33.725879+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/XYTBLKP6EFWKPZDTAP3BSOD5IF","json":"https://pith.science/pith/XYTBLKP6EFWKPZDTAP3BSOD5IF.json","graph_json":"https://pith.science/api/pith-number/XYTBLKP6EFWKPZDTAP3BSOD5IF/graph.json","events_json":"https://pith.science/api/pith-number/XYTBLKP6EFWKPZDTAP3BSOD5IF/events.json","paper":"https://pith.science/paper/XYTBLKP6"},"agent_actions":{"view_html":"https://pith.science/pith/XYTBLKP6EFWKPZDTAP3BSOD5IF","download_json":"https://pith.science/pith/XYTBLKP6EFWKPZDTAP3BSOD5IF.json","view_paper":"https://pith.science/paper/XYTBLKP6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1902.07178&json=true","fetch_graph":"https://pith.science/api/pith-number/XYTBLKP6EFWKPZDTAP3BSOD5IF/graph.json","fetch_events":"https://pith.science/api/pith-number/XYTBLKP6EFWKPZDTAP3BSOD5IF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XYTBLKP6EFWKPZDTAP3BSOD5IF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XYTBLKP6EFWKPZDTAP3BSOD5IF/action/storage_attestation","attest_author":"https://pith.science/pith/XYTBLKP6EFWKPZDTAP3BSOD5IF/action/author_attestation","sign_citation":"https://pith.science/pith/XYTBLKP6EFWKPZDTAP3BSOD5IF/action/citation_signature","submit_replication":"https://pith.science/pith/XYTBLKP6EFWKPZDTAP3BSOD5IF/action/replication_record"}},"created_at":"2026-05-17T23:53:39.717644+00:00","updated_at":"2026-05-17T23:53:39.717644+00:00"}