{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OPYZ647DL4KU5S6F3GYTR3TYWA","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":"735e15ef007384317a26dc2a6e4c932b62e111adade4ae0ebf703d402acdebee","cross_cats_sorted":["cs.CL","eess.AS","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-06-20T06:08:09Z","title_canon_sha256":"09a4b00d92483c0ccfdbc5bfbfb9551367d74d00530205d1898ad5de6b47026e"},"schema_version":"1.0","source":{"id":"2306.11309","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.11309","created_at":"2026-07-05T06:22:18Z"},{"alias_kind":"arxiv_version","alias_value":"2306.11309v1","created_at":"2026-07-05T06:22:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.11309","created_at":"2026-07-05T06:22:18Z"},{"alias_kind":"pith_short_12","alias_value":"OPYZ647DL4KU","created_at":"2026-07-05T06:22:18Z"},{"alias_kind":"pith_short_16","alias_value":"OPYZ647DL4KU5S6F","created_at":"2026-07-05T06:22:18Z"},{"alias_kind":"pith_short_8","alias_value":"OPYZ647D","created_at":"2026-07-05T06:22:18Z"}],"graph_snapshots":[{"event_id":"sha256:98e0fb2ae1ceb0e55c48e9efc24415a9ee67133abcaa4e36ed2905bcfa9fc990","target":"graph","created_at":"2026-07-05T06:22:18Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2306.11309/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-resource accented speech recognition is one of the important challenges faced by current ASR technology in practical applications. In this study, we propose a Conformer-based architecture, called Aformer, to leverage both the acoustic information from large non-accented and limited accented training data. Specifically, a general encoder and an accent encoder are designed in the Aformer to extract complementary acoustic information. Moreover, we propose to train the Aformer in a multi-pass manner, and investigate three cross-information fusion methods to effectively combine the information ","authors_text":"Haoran Wei, Xuefei Wang, Yanhua Long, Yijie Li","cross_cats":["cs.CL","eess.AS","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-06-20T06:08:09Z","title":"Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.11309","kind":"arxiv","version":1},"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":"sha256:303790466d5280a40fc000210b28c1579fa37ced6652e904c999cf6c6735808d","target":"record","created_at":"2026-07-05T06:22:18Z","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":"735e15ef007384317a26dc2a6e4c932b62e111adade4ae0ebf703d402acdebee","cross_cats_sorted":["cs.CL","eess.AS","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-06-20T06:08:09Z","title_canon_sha256":"09a4b00d92483c0ccfdbc5bfbfb9551367d74d00530205d1898ad5de6b47026e"},"schema_version":"1.0","source":{"id":"2306.11309","kind":"arxiv","version":1}},"canonical_sha256":"73f19f73e35f154ecbc5d9b138ee78b02da03b005c03961c1470f3b304ba6531","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73f19f73e35f154ecbc5d9b138ee78b02da03b005c03961c1470f3b304ba6531","first_computed_at":"2026-07-05T06:22:18.091244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:22:18.091244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w1d2SKhoJASsD2xSuVNTRLOBfbmSzEPRKlm/TnrogFASo/+zCqY1KrzjSKtEDDEhDbU3MIuhAmbGtgAwoGnLAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:22:18.091644Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.11309","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:303790466d5280a40fc000210b28c1579fa37ced6652e904c999cf6c6735808d","sha256:98e0fb2ae1ceb0e55c48e9efc24415a9ee67133abcaa4e36ed2905bcfa9fc990"],"state_sha256":"5e7f347f46b48a989433f1a93f7ebff5278f81bf6f83cdfafea440501b243052"}