{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:IVQZZA763Y4BMJ2XFP4C4FIMYN","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":"f73dbb33b29e4e2a7b95b2021ec95fa2ec24b7b9d9df43a700ac9dad3cf42cb1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-14T04:52:23Z","title_canon_sha256":"e75a241ccdd4ed411ef3990bd97e956c936345e8bd8044182d2db68deeb1465c"},"schema_version":"1.0","source":{"id":"1804.05166","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.05166","created_at":"2026-05-18T00:18:30Z"},{"alias_kind":"arxiv_version","alias_value":"1804.05166v1","created_at":"2026-05-18T00:18:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.05166","created_at":"2026-05-18T00:18:30Z"},{"alias_kind":"pith_short_12","alias_value":"IVQZZA763Y4B","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"IVQZZA763Y4BMJ2X","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"IVQZZA76","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:678cbf17615424fc777a56532d3142decad72ea942ddba6d84dab5a66cd48260","target":"graph","created_at":"2026-05-18T00:18:30Z","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":"In this study, we develop the keyword spotting (KWS) and acoustic model (AM) components in a far-field speaker system. Specifically, we use teacher-student (T/S) learning to adapt a close-talk well-trained production AM to far-field by using parallel close-talk and simulated far-field data. We also use T/S learning to compress a large-size KWS model into a small-size one to fit the device computational cost. Without the need of transcription, T/S learning well utilizes untranscribed data to boost the model performance in both the AM adaptation and KWS model compression. We further optimize the","authors_text":"Changliang Liu, Guoli Ye, Jinyu Li, Rui Zhao, Xiong Xiao, Yifan Gong, Zhuo Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-14T04:52:23Z","title":"Developing Far-Field Speaker System Via Teacher-Student Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.05166","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":"sha256:776e49111d778fabb595780c9e31fb5f9480817efcd118591613fb9088b83aab","target":"record","created_at":"2026-05-18T00:18:30Z","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":"f73dbb33b29e4e2a7b95b2021ec95fa2ec24b7b9d9df43a700ac9dad3cf42cb1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-14T04:52:23Z","title_canon_sha256":"e75a241ccdd4ed411ef3990bd97e956c936345e8bd8044182d2db68deeb1465c"},"schema_version":"1.0","source":{"id":"1804.05166","kind":"arxiv","version":1}},"canonical_sha256":"45619c83fede381627572bf82e150cc3421dcef10e9f70f182a89d3ee7c34f2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45619c83fede381627572bf82e150cc3421dcef10e9f70f182a89d3ee7c34f2f","first_computed_at":"2026-05-18T00:18:30.421251Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:30.421251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h4SavyV91MA+CZS2zAMJlZaEAHnJauFTdGEO08Pt18NvJRKllM4YkpGFoYtpCw9OBMaAdCxE9xTAi1cNuLd2Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:30.421638Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.05166","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:776e49111d778fabb595780c9e31fb5f9480817efcd118591613fb9088b83aab","sha256:678cbf17615424fc777a56532d3142decad72ea942ddba6d84dab5a66cd48260"],"state_sha256":"5eb631463c7ea800d18fbf2b98bd9f6962087e2b3bd1a20418a35c21d24ebe26"}