{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:3MPHD2G32JYHRTU7OUHQXJJ6G6","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":"20303c778bda68e829109b059e464c7e7cf55bfe30dcc2153d3a666ba7e46d4e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-11-04T14:13:27Z","title_canon_sha256":"32d441acafc18dcfaa60cb2dbb1a9ff6c6d925bf5f092f449f4e6697aa351c46"},"schema_version":"1.0","source":{"id":"1311.0707","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1311.0707","created_at":"2026-05-18T02:59:05Z"},{"alias_kind":"arxiv_version","alias_value":"1311.0707v3","created_at":"2026-05-18T02:59:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.0707","created_at":"2026-05-18T02:59:05Z"},{"alias_kind":"pith_short_12","alias_value":"3MPHD2G32JYH","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_16","alias_value":"3MPHD2G32JYHRTU7","created_at":"2026-05-18T12:27:32Z"},{"alias_kind":"pith_short_8","alias_value":"3MPHD2G3","created_at":"2026-05-18T12:27:32Z"}],"graph_snapshots":[{"event_id":"sha256:46288572a7a6871c706149cb3a1a12ce1ea0b9d3d7f3f6e9724a9476a3e0a30e","target":"graph","created_at":"2026-05-18T02:59:05Z","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":"Score calibration enables automatic speaker recognizers to make cost-effective accept / reject decisions. Traditional calibration requires supervised data, which is an expensive resource. We propose a 2-component GMM for unsupervised calibration and demonstrate good performance relative to a supervised baseline on NIST SRE'10 and SRE'12. A Bayesian analysis demonstrates that the uncertainty associated with the unsupervised calibration parameter estimates is surprisingly small.","authors_text":"Daniel Garcia-Romero, Niko Br\\\"ummer","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-11-04T14:13:27Z","title":"Generative Modelling for Unsupervised Score Calibration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.0707","kind":"arxiv","version":3},"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":"sha256:5a6cd185f854a21f376bdb4be66235c810fc952b528c9d99b0ba3bdd7c7f9c5f","target":"record","created_at":"2026-05-18T02:59:05Z","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":"20303c778bda68e829109b059e464c7e7cf55bfe30dcc2153d3a666ba7e46d4e","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2013-11-04T14:13:27Z","title_canon_sha256":"32d441acafc18dcfaa60cb2dbb1a9ff6c6d925bf5f092f449f4e6697aa351c46"},"schema_version":"1.0","source":{"id":"1311.0707","kind":"arxiv","version":3}},"canonical_sha256":"db1e71e8dbd27078ce9f750f0ba53e378c5135e37ad942d78204342f6175b75a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db1e71e8dbd27078ce9f750f0ba53e378c5135e37ad942d78204342f6175b75a","first_computed_at":"2026-05-18T02:59:05.917629Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:59:05.917629Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LET0Ynrj0QZ/kqQrQwksWxg6wnDmeDLA/5l2dxmd7fc3JSOyulpxL1fSNa6YdCUJza6F6XsQhmbD4yeL94Y7Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:59:05.918258Z","signed_message":"canonical_sha256_bytes"},"source_id":"1311.0707","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a6cd185f854a21f376bdb4be66235c810fc952b528c9d99b0ba3bdd7c7f9c5f","sha256:46288572a7a6871c706149cb3a1a12ce1ea0b9d3d7f3f6e9724a9476a3e0a30e"],"state_sha256":"77fe72474c362cdbf3141d7e6d491dbd04054f35911c58ef6fb613864de79811"}