{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:527U7R2AVO5ZUBP6JSLVM66JRC","short_pith_number":"pith:527U7R2A","schema_version":"1.0","canonical_sha256":"eebf4fc740abbb9a05fe4c97567bc988a66d2f9c1008aba38288d9f2dacd780b","source":{"kind":"arxiv","id":"1907.02194","version":1},"attestation_state":"computed","paper":{"title":"The DKU System for the Speaker Recognition Task of the 2019 VOiCES from a Distance Challenge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Danwei Cai, Ming Li, Weicheng Cai, Xiaoyi Qin","submitted_at":"2019-07-04T02:42:15Z","abstract_excerpt":"In this paper, we present the DKU system for the speaker recognition task of the VOiCES from a distance challenge 2019. We investigate the whole system pipeline for the far-field speaker verification, including data pre-processing, short-term spectral feature representation, utterance-level speaker modeling, back-end scoring, and score normalization. Our best single system employs a residual neural network trained with angular softmax loss. Also, the weighted prediction error algorithms can further improve performance. It achieves 0.3668 minDCF and 5.58% EER on the evaluation set by using a si"},"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":"1907.02194","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-07-04T02:42:15Z","cross_cats_sorted":[],"title_canon_sha256":"707838224d863fbb85b4ee6b304121254aef5eca8d81f79961de0c94b89d1f76","abstract_canon_sha256":"40f2e6268f32b222eca54da91bfd8c3cd2ef267dd2b3020befaa027b18ee37fe"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:29.472585Z","signature_b64":"xFIjRibGRRSP7v8JKY6uaGpiNzPSxl+KJdiZlfD5YiDSW07cNZ+FYQ9B73ygh1kDfMX2ANFvkcJnrj7dwTE9Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eebf4fc740abbb9a05fe4c97567bc988a66d2f9c1008aba38288d9f2dacd780b","last_reissued_at":"2026-05-17T23:41:29.471861Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:29.471861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The DKU System for the Speaker Recognition Task of the 2019 VOiCES from a Distance Challenge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Danwei Cai, Ming Li, Weicheng Cai, Xiaoyi Qin","submitted_at":"2019-07-04T02:42:15Z","abstract_excerpt":"In this paper, we present the DKU system for the speaker recognition task of the VOiCES from a distance challenge 2019. We investigate the whole system pipeline for the far-field speaker verification, including data pre-processing, short-term spectral feature representation, utterance-level speaker modeling, back-end scoring, and score normalization. Our best single system employs a residual neural network trained with angular softmax loss. Also, the weighted prediction error algorithms can further improve performance. It achieves 0.3668 minDCF and 5.58% EER on the evaluation set by using a si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.02194","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":"1907.02194","created_at":"2026-05-17T23:41:29.471986+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.02194v1","created_at":"2026-05-17T23:41:29.471986+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.02194","created_at":"2026-05-17T23:41:29.471986+00:00"},{"alias_kind":"pith_short_12","alias_value":"527U7R2AVO5Z","created_at":"2026-05-18T12:33:10.108867+00:00"},{"alias_kind":"pith_short_16","alias_value":"527U7R2AVO5ZUBP6","created_at":"2026-05-18T12:33:10.108867+00:00"},{"alias_kind":"pith_short_8","alias_value":"527U7R2A","created_at":"2026-05-18T12:33:10.108867+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"1907.02194","citing_title":"The DKU System for the Speaker Recognition Task of the 2019 VOiCES from a Distance Challenge","ref_index":2,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC","json":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC.json","graph_json":"https://pith.science/api/pith-number/527U7R2AVO5ZUBP6JSLVM66JRC/graph.json","events_json":"https://pith.science/api/pith-number/527U7R2AVO5ZUBP6JSLVM66JRC/events.json","paper":"https://pith.science/paper/527U7R2A"},"agent_actions":{"view_html":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC","download_json":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC.json","view_paper":"https://pith.science/paper/527U7R2A","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.02194&json=true","fetch_graph":"https://pith.science/api/pith-number/527U7R2AVO5ZUBP6JSLVM66JRC/graph.json","fetch_events":"https://pith.science/api/pith-number/527U7R2AVO5ZUBP6JSLVM66JRC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC/action/storage_attestation","attest_author":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC/action/author_attestation","sign_citation":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC/action/citation_signature","submit_replication":"https://pith.science/pith/527U7R2AVO5ZUBP6JSLVM66JRC/action/replication_record"}},"created_at":"2026-05-17T23:41:29.471986+00:00","updated_at":"2026-05-17T23:41:29.471986+00:00"}