{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:RUBOQI4EQNMCS72VIURN2RFEWK","short_pith_number":"pith:RUBOQI4E","schema_version":"1.0","canonical_sha256":"8d02e823848358297f554522dd44a4b29b7044a01d7b37c770416bb63d5042e2","source":{"kind":"arxiv","id":"1706.07238","version":1},"attestation_state":"computed","paper":{"title":"Automatic Quality Estimation for ASR System Combination","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Daniele Falavigna, Marco Matassoni, Marco Turchi, Matteo Negri, Shahab Jalalvand","submitted_at":"2017-06-22T10:11:34Z","abstract_excerpt":"Recognizer Output Voting Error Reduction (ROVER) has been widely used for system combination in automatic speech recognition (ASR). In order to select the most appropriate words to insert at each position in the output transcriptions, some ROVER extensions rely on critical information such as confidence scores and other ASR decoder features. This information, which is not always available, highly depends on the decoding process and sometimes tends to over estimate the real quality of the recognized words. In this paper we propose a novel variant of ROVER that takes advantage of ASR quality est"},"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":"1706.07238","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-22T10:11:34Z","cross_cats_sorted":[],"title_canon_sha256":"ade7221c2657098eccf1a01daeb19aa3287abb378e429a41baa6081d985553e8","abstract_canon_sha256":"4a8abfbc94c47dbc7addee1760b6ac0334994d402ca0185973e9f5e5e25c2a4b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:52.263502Z","signature_b64":"Pr52Cl9lcLM1CfVRC96Z9ad9bh3eN63ZF+1bvGlK1y7cCUzKOP1IIi/ZG5oyYh8RKDMiI5qsMmDz1BegqHKPDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d02e823848358297f554522dd44a4b29b7044a01d7b37c770416bb63d5042e2","last_reissued_at":"2026-05-18T00:41:52.262952Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:52.262952Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automatic Quality Estimation for ASR System Combination","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Daniele Falavigna, Marco Matassoni, Marco Turchi, Matteo Negri, Shahab Jalalvand","submitted_at":"2017-06-22T10:11:34Z","abstract_excerpt":"Recognizer Output Voting Error Reduction (ROVER) has been widely used for system combination in automatic speech recognition (ASR). In order to select the most appropriate words to insert at each position in the output transcriptions, some ROVER extensions rely on critical information such as confidence scores and other ASR decoder features. This information, which is not always available, highly depends on the decoding process and sometimes tends to over estimate the real quality of the recognized words. In this paper we propose a novel variant of ROVER that takes advantage of ASR quality est"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.07238","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":""},"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":"1706.07238","created_at":"2026-05-18T00:41:52.263043+00:00"},{"alias_kind":"arxiv_version","alias_value":"1706.07238v1","created_at":"2026-05-18T00:41:52.263043+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.07238","created_at":"2026-05-18T00:41:52.263043+00:00"},{"alias_kind":"pith_short_12","alias_value":"RUBOQI4EQNMC","created_at":"2026-05-18T12:31:39.905425+00:00"},{"alias_kind":"pith_short_16","alias_value":"RUBOQI4EQNMCS72V","created_at":"2026-05-18T12:31:39.905425+00:00"},{"alias_kind":"pith_short_8","alias_value":"RUBOQI4E","created_at":"2026-05-18T12:31:39.905425+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/RUBOQI4EQNMCS72VIURN2RFEWK","json":"https://pith.science/pith/RUBOQI4EQNMCS72VIURN2RFEWK.json","graph_json":"https://pith.science/api/pith-number/RUBOQI4EQNMCS72VIURN2RFEWK/graph.json","events_json":"https://pith.science/api/pith-number/RUBOQI4EQNMCS72VIURN2RFEWK/events.json","paper":"https://pith.science/paper/RUBOQI4E"},"agent_actions":{"view_html":"https://pith.science/pith/RUBOQI4EQNMCS72VIURN2RFEWK","download_json":"https://pith.science/pith/RUBOQI4EQNMCS72VIURN2RFEWK.json","view_paper":"https://pith.science/paper/RUBOQI4E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1706.07238&json=true","fetch_graph":"https://pith.science/api/pith-number/RUBOQI4EQNMCS72VIURN2RFEWK/graph.json","fetch_events":"https://pith.science/api/pith-number/RUBOQI4EQNMCS72VIURN2RFEWK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RUBOQI4EQNMCS72VIURN2RFEWK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RUBOQI4EQNMCS72VIURN2RFEWK/action/storage_attestation","attest_author":"https://pith.science/pith/RUBOQI4EQNMCS72VIURN2RFEWK/action/author_attestation","sign_citation":"https://pith.science/pith/RUBOQI4EQNMCS72VIURN2RFEWK/action/citation_signature","submit_replication":"https://pith.science/pith/RUBOQI4EQNMCS72VIURN2RFEWK/action/replication_record"}},"created_at":"2026-05-18T00:41:52.263043+00:00","updated_at":"2026-05-18T00:41:52.263043+00:00"}