{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:UUYVYYKP66Q2WYVDHWM2ZA2SJL","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":"335228d56b970f0b926eae93560158110dbac14cc9b8b1ff825fc6b9c2d14576","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-10-31T07:03:50Z","title_canon_sha256":"130ea03d0610501ef4429561d3ae4e5abd94118469c500247d813704e3877140"},"schema_version":"1.0","source":{"id":"2211.00490","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.00490","created_at":"2026-07-05T05:12:23Z"},{"alias_kind":"arxiv_version","alias_value":"2211.00490v1","created_at":"2026-07-05T05:12:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.00490","created_at":"2026-07-05T05:12:23Z"},{"alias_kind":"pith_short_12","alias_value":"UUYVYYKP66Q2","created_at":"2026-07-05T05:12:23Z"},{"alias_kind":"pith_short_16","alias_value":"UUYVYYKP66Q2WYVD","created_at":"2026-07-05T05:12:23Z"},{"alias_kind":"pith_short_8","alias_value":"UUYVYYKP","created_at":"2026-07-05T05:12:23Z"}],"graph_snapshots":[{"event_id":"sha256:3a4dca3f80fd61aee1d3136e0de80819af8a2fe484c75f25145724edc8225611","target":"graph","created_at":"2026-07-05T05:12:23Z","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/2211.00490/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In streaming automatic speech recognition (ASR), it is desirable to reduce latency as much as possible while having minimum impact on recognition accuracy. Although a few existing methods are able to achieve this goal, they are difficult to implement due to their dependency on external alignments. In this paper, we propose a simple way to penalize symbol delay in transducer model, so that we can balance the trade-off between symbol delay and accuracy for streaming models without external alignments. Specifically, our method adds a small constant times (T/2 - t), where T is the number of frames","authors_text":"Daniel Povey, Fangjun Kuang, Liyong Guo, Long Lin, Piotr \\.Zelasko, Wei Kang, Xiaoyu Yang, Zengwei Yao","cross_cats":["cs.CL","cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-10-31T07:03:50Z","title":"Delay-penalized transducer for low-latency streaming ASR"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.00490","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":"sha256:79b9f2e1f98b9c0db55ad062697c299ff4976e83a9241213f2bbfe05ebe12025","target":"record","created_at":"2026-07-05T05:12:23Z","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":"335228d56b970f0b926eae93560158110dbac14cc9b8b1ff825fc6b9c2d14576","cross_cats_sorted":["cs.CL","cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-10-31T07:03:50Z","title_canon_sha256":"130ea03d0610501ef4429561d3ae4e5abd94118469c500247d813704e3877140"},"schema_version":"1.0","source":{"id":"2211.00490","kind":"arxiv","version":1}},"canonical_sha256":"a5315c614ff7a1ab62a33d99ac83524ae8cbec8db7b736b9c023b67c1d204855","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5315c614ff7a1ab62a33d99ac83524ae8cbec8db7b736b9c023b67c1d204855","first_computed_at":"2026-07-05T05:12:23.263274Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:23.263274Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RnngZdKCcD+TUIEmHjRGw6h/RqzgJw6fxbAmzn491VXqi92qDLMTduimb0ihN+aGCfuGjgvJOMcQabHtae1sBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:23.263689Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.00490","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79b9f2e1f98b9c0db55ad062697c299ff4976e83a9241213f2bbfe05ebe12025","sha256:3a4dca3f80fd61aee1d3136e0de80819af8a2fe484c75f25145724edc8225611"],"state_sha256":"2cd3dfdb7bb7b52562838c4fd7457d917fc3f77b35a84baca7e596c33f81c00b"}