{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:BNDMZ4ANSCB3MO6KPRNXMQQEOM","short_pith_number":"pith:BNDMZ4AN","schema_version":"1.0","canonical_sha256":"0b46ccf00d9083b63bca7c5b764204730b9ac981acb5dd7f549ac0b3f11d7a94","source":{"kind":"arxiv","id":"2112.01757","version":1},"attestation_state":"computed","paper":{"title":"BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Binbin Du, Wenxuan Wang, Yingxin Zhang, Yuke Li, Yuting Yang","submitted_at":"2021-12-03T07:27:13Z","abstract_excerpt":"This paper introduces the system submitted by the Yidun NISP team to the video keyword wakeup challenge. We propose a mandarin keyword spotting system (KWS) with several novel and effective improvements, including a big backbone (B) model, a keyword biasing (B) mechanism and the introduction of syllable modeling units (S). By considering this, we term the total system BBS-KWS as an abbreviation. The BBS-KWS system consists of an end-to-end automatic speech recognition (ASR) module and a KWS module. The ASR module converts speech features to text representations, which applies a big backbone ne"},"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":"2112.01757","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-12-03T07:27:13Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"b51dd9793399bb919f605f19e45189e1ddc9201319059f59011b72059fe59582","abstract_canon_sha256":"bbf4bd9debb18874b34a5ee4da4de5efa1a5ccd8796c1e756c98c4d97ac54a23"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:37:31.795183Z","signature_b64":"A4AYY3XGJahQM4xQELhJG+5+IG/W/GVIVKNuDTtW++dty3z+8FFzmujGZzBrt/rPHZ+pQPnG80PyhcNQRuKfDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b46ccf00d9083b63bca7c5b764204730b9ac981acb5dd7f549ac0b3f11d7a94","last_reissued_at":"2026-07-05T03:37:31.794775Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:37:31.794775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Binbin Du, Wenxuan Wang, Yingxin Zhang, Yuke Li, Yuting Yang","submitted_at":"2021-12-03T07:27:13Z","abstract_excerpt":"This paper introduces the system submitted by the Yidun NISP team to the video keyword wakeup challenge. We propose a mandarin keyword spotting system (KWS) with several novel and effective improvements, including a big backbone (B) model, a keyword biasing (B) mechanism and the introduction of syllable modeling units (S). By considering this, we term the total system BBS-KWS as an abbreviation. The BBS-KWS system consists of an end-to-end automatic speech recognition (ASR) module and a KWS module. The ASR module converts speech features to text representations, which applies a big backbone ne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.01757","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2112.01757/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2112.01757","created_at":"2026-07-05T03:37:31.794832+00:00"},{"alias_kind":"arxiv_version","alias_value":"2112.01757v1","created_at":"2026-07-05T03:37:31.794832+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.01757","created_at":"2026-07-05T03:37:31.794832+00:00"},{"alias_kind":"pith_short_12","alias_value":"BNDMZ4ANSCB3","created_at":"2026-07-05T03:37:31.794832+00:00"},{"alias_kind":"pith_short_16","alias_value":"BNDMZ4ANSCB3MO6K","created_at":"2026-07-05T03:37:31.794832+00:00"},{"alias_kind":"pith_short_8","alias_value":"BNDMZ4AN","created_at":"2026-07-05T03:37:31.794832+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/BNDMZ4ANSCB3MO6KPRNXMQQEOM","json":"https://pith.science/pith/BNDMZ4ANSCB3MO6KPRNXMQQEOM.json","graph_json":"https://pith.science/api/pith-number/BNDMZ4ANSCB3MO6KPRNXMQQEOM/graph.json","events_json":"https://pith.science/api/pith-number/BNDMZ4ANSCB3MO6KPRNXMQQEOM/events.json","paper":"https://pith.science/paper/BNDMZ4AN"},"agent_actions":{"view_html":"https://pith.science/pith/BNDMZ4ANSCB3MO6KPRNXMQQEOM","download_json":"https://pith.science/pith/BNDMZ4ANSCB3MO6KPRNXMQQEOM.json","view_paper":"https://pith.science/paper/BNDMZ4AN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2112.01757&json=true","fetch_graph":"https://pith.science/api/pith-number/BNDMZ4ANSCB3MO6KPRNXMQQEOM/graph.json","fetch_events":"https://pith.science/api/pith-number/BNDMZ4ANSCB3MO6KPRNXMQQEOM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BNDMZ4ANSCB3MO6KPRNXMQQEOM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BNDMZ4ANSCB3MO6KPRNXMQQEOM/action/storage_attestation","attest_author":"https://pith.science/pith/BNDMZ4ANSCB3MO6KPRNXMQQEOM/action/author_attestation","sign_citation":"https://pith.science/pith/BNDMZ4ANSCB3MO6KPRNXMQQEOM/action/citation_signature","submit_replication":"https://pith.science/pith/BNDMZ4ANSCB3MO6KPRNXMQQEOM/action/replication_record"}},"created_at":"2026-07-05T03:37:31.794832+00:00","updated_at":"2026-07-05T03:37:31.794832+00:00"}