{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:L64IOALHGRE4HZ7RZGLMCWIS4T","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":"36cf2e82cfc8fe791d7ca15ab7b27e8cbdc3cd7a4231ec219a08ddb4e44cfe58","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-04-07T15:24:32Z","title_canon_sha256":"5502897506c4dd868b7fcc3998b985951334af66ee60e2c15bec1ea2ff7242c7"},"schema_version":"1.0","source":{"id":"1904.03670","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.03670","created_at":"2026-05-17T23:39:33Z"},{"alias_kind":"arxiv_version","alias_value":"1904.03670v2","created_at":"2026-05-17T23:39:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.03670","created_at":"2026-05-17T23:39:33Z"},{"alias_kind":"pith_short_12","alias_value":"L64IOALHGRE4","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"L64IOALHGRE4HZ7R","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"L64IOALH","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:5add84902984bb476295d04085dd019b3c3534cfc5a890bb793a3133440cf573","target":"graph","created_at":"2026-05-17T23:39:33Z","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"},"paper":{"abstract_excerpt":"Whereas conventional spoken language understanding (SLU) systems map speech to text, and then text to intent, end-to-end SLU systems map speech directly to intent through a single trainable model. Achieving high accuracy with these end-to-end models without a large amount of training data is difficult. We propose a method to reduce the data requirements of end-to-end SLU in which the model is first pre-trained to predict words and phonemes, thus learning good features for SLU. We introduce a new SLU dataset, Fluent Speech Commands, and show that our method improves performance both when the fu","authors_text":"Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, Yoshua Bengio","cross_cats":["cs.CL","cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-04-07T15:24:32Z","title":"Speech Model Pre-training for End-to-End Spoken Language Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.03670","kind":"arxiv","version":2},"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":"sha256:26cad2af4185b412e5308edc3fd3d87333d6ed5d49de56a47d82080d53268688","target":"record","created_at":"2026-05-17T23:39:33Z","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":"36cf2e82cfc8fe791d7ca15ab7b27e8cbdc3cd7a4231ec219a08ddb4e44cfe58","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-04-07T15:24:32Z","title_canon_sha256":"5502897506c4dd868b7fcc3998b985951334af66ee60e2c15bec1ea2ff7242c7"},"schema_version":"1.0","source":{"id":"1904.03670","kind":"arxiv","version":2}},"canonical_sha256":"5fb88701673449c3e7f1c996c15912e4e79424c577ab78ee66a7f6864060e894","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5fb88701673449c3e7f1c996c15912e4e79424c577ab78ee66a7f6864060e894","first_computed_at":"2026-05-17T23:39:33.273561Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:33.273561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bbtZ3F9BD6Zooc8oYM/3qccaCemXxKAF2Wrp+TgkZ6bnomX+cilXoAjsBO/JJfyxdscidm8G8ohH79YZNUHZCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:33.274257Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.03670","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26cad2af4185b412e5308edc3fd3d87333d6ed5d49de56a47d82080d53268688","sha256:5add84902984bb476295d04085dd019b3c3534cfc5a890bb793a3133440cf573"],"state_sha256":"cd0a4fc2bde2a0e9a4cb5ef5e884331df10dd2a1c92641db775082e7e22c42b8"}