{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:M3S2AYM4H7L7FBFMIJUDJ5VYH3","short_pith_number":"pith:M3S2AYM4","canonical_record":{"source":{"id":"1910.11824","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-25T16:08:09Z","cross_cats_sorted":["cs.SD","eess.SP"],"title_canon_sha256":"1387e469f14fba8b01369a6657ded6814a583c1976ce7fcb32e69b3458366258","abstract_canon_sha256":"c2bcd7d84b655984dadcddf98bc3e8a0d3f6033d0390914aa8dd454489f01455"},"schema_version":"1.0"},"canonical_sha256":"66e5a0619c3fd7f284ac426834f6b83ec5e5739df779b08a544fc0036b1add8b","source":{"kind":"arxiv","id":"1910.11824","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.11824","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"arxiv_version","alias_value":"1910.11824v1","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.11824","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"pith_short_12","alias_value":"M3S2AYM4H7L7","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"pith_short_16","alias_value":"M3S2AYM4H7L7FBFM","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"pith_short_8","alias_value":"M3S2AYM4","created_at":"2026-07-05T00:14:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:M3S2AYM4H7L7FBFMIJUDJ5VYH3","target":"record","payload":{"canonical_record":{"source":{"id":"1910.11824","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-25T16:08:09Z","cross_cats_sorted":["cs.SD","eess.SP"],"title_canon_sha256":"1387e469f14fba8b01369a6657ded6814a583c1976ce7fcb32e69b3458366258","abstract_canon_sha256":"c2bcd7d84b655984dadcddf98bc3e8a0d3f6033d0390914aa8dd454489f01455"},"schema_version":"1.0"},"canonical_sha256":"66e5a0619c3fd7f284ac426834f6b83ec5e5739df779b08a544fc0036b1add8b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:14:57.249582Z","signature_b64":"hSbAnZTvhjWZfJeczWvlv25lyKNLB57IG0J7d3oRcBMyu4FCAnVW37Xh3JqA+D1kyVGKl5tmwVleESrlCz+xCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66e5a0619c3fd7f284ac426834f6b83ec5e5739df779b08a544fc0036b1add8b","last_reissued_at":"2026-07-05T00:14:57.249181Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:14:57.249181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.11824","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:14:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ROOjwicM+1mn2XI2qMtYrsRHZl/Jnft72uLHwpoVxhXZooUgq6HsNeehaF1Z0rxHMLohYFlHhZIynZGN4VwrCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T18:37:14.193888Z"},"content_sha256":"47bbcabe8a7f3b8941b6491169e72c0382a9c5fdee25a3d5a6a13983980744d7","schema_version":"1.0","event_id":"sha256:47bbcabe8a7f3b8941b6491169e72c0382a9c5fdee25a3d5a6a13983980744d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:M3S2AYM4H7L7FBFMIJUDJ5VYH3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive blind audio source extraction supervised by dominant speaker identification using x-vectors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.SP"],"primary_cat":"eess.AS","authors_text":"Jakub Jansk\\'y, Jaroslav \\v{C}mejla, Jind\\v{r}ich \\v{Z}\\v{d}\\'ansk\\'y, Ji\\v{r}\\'i M\\'alek, Tom\\'a\\v{s} Kounovsk\\'y, Zbyn\\v{e}k Koldovsk\\'y","submitted_at":"2019-10-25T16:08:09Z","abstract_excerpt":"We propose a novel algorithm for adaptive blind audio source extraction. The proposed method is based on independent vector analysis and utilizes the auxiliary function optimization to achieve high convergence speed. The algorithm is partially supervised by a pilot signal related to the source of interest (SOI), which ensures that the method correctly extracts the utterance of the desired speaker. The pilot is based on the identification of a dominant speaker in the mixture using x-vectors. The properties of the x-vectors computed in the presence of cross-talk are experimentally analyzed. The "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.11824","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/1910.11824/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:14:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mxdkdlXevzFoR/cCY141y9w6QOOteDW+/iyJaO6u62UtV6/mvSdSpsNPlpipF/Jb2UrGgwfQu2LKXdDZbCbWBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T18:37:14.194454Z"},"content_sha256":"fc045c5630e8d2cf8069c99531cf3aee67a960060dc1dcf775c147e33b107744","schema_version":"1.0","event_id":"sha256:fc045c5630e8d2cf8069c99531cf3aee67a960060dc1dcf775c147e33b107744"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M3S2AYM4H7L7FBFMIJUDJ5VYH3/bundle.json","state_url":"https://pith.science/pith/M3S2AYM4H7L7FBFMIJUDJ5VYH3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M3S2AYM4H7L7FBFMIJUDJ5VYH3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-23T18:37:14Z","links":{"resolver":"https://pith.science/pith/M3S2AYM4H7L7FBFMIJUDJ5VYH3","bundle":"https://pith.science/pith/M3S2AYM4H7L7FBFMIJUDJ5VYH3/bundle.json","state":"https://pith.science/pith/M3S2AYM4H7L7FBFMIJUDJ5VYH3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M3S2AYM4H7L7FBFMIJUDJ5VYH3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:M3S2AYM4H7L7FBFMIJUDJ5VYH3","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":"c2bcd7d84b655984dadcddf98bc3e8a0d3f6033d0390914aa8dd454489f01455","cross_cats_sorted":["cs.SD","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-25T16:08:09Z","title_canon_sha256":"1387e469f14fba8b01369a6657ded6814a583c1976ce7fcb32e69b3458366258"},"schema_version":"1.0","source":{"id":"1910.11824","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.11824","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"arxiv_version","alias_value":"1910.11824v1","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.11824","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"pith_short_12","alias_value":"M3S2AYM4H7L7","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"pith_short_16","alias_value":"M3S2AYM4H7L7FBFM","created_at":"2026-07-05T00:14:57Z"},{"alias_kind":"pith_short_8","alias_value":"M3S2AYM4","created_at":"2026-07-05T00:14:57Z"}],"graph_snapshots":[{"event_id":"sha256:fc045c5630e8d2cf8069c99531cf3aee67a960060dc1dcf775c147e33b107744","target":"graph","created_at":"2026-07-05T00:14:57Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1910.11824/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel algorithm for adaptive blind audio source extraction. The proposed method is based on independent vector analysis and utilizes the auxiliary function optimization to achieve high convergence speed. The algorithm is partially supervised by a pilot signal related to the source of interest (SOI), which ensures that the method correctly extracts the utterance of the desired speaker. The pilot is based on the identification of a dominant speaker in the mixture using x-vectors. The properties of the x-vectors computed in the presence of cross-talk are experimentally analyzed. The ","authors_text":"Jakub Jansk\\'y, Jaroslav \\v{C}mejla, Jind\\v{r}ich \\v{Z}\\v{d}\\'ansk\\'y, Ji\\v{r}\\'i M\\'alek, Tom\\'a\\v{s} Kounovsk\\'y, Zbyn\\v{e}k Koldovsk\\'y","cross_cats":["cs.SD","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-25T16:08:09Z","title":"Adaptive blind audio source extraction supervised by dominant speaker identification using x-vectors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.11824","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":"sha256:47bbcabe8a7f3b8941b6491169e72c0382a9c5fdee25a3d5a6a13983980744d7","target":"record","created_at":"2026-07-05T00:14:57Z","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":"c2bcd7d84b655984dadcddf98bc3e8a0d3f6033d0390914aa8dd454489f01455","cross_cats_sorted":["cs.SD","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-25T16:08:09Z","title_canon_sha256":"1387e469f14fba8b01369a6657ded6814a583c1976ce7fcb32e69b3458366258"},"schema_version":"1.0","source":{"id":"1910.11824","kind":"arxiv","version":1}},"canonical_sha256":"66e5a0619c3fd7f284ac426834f6b83ec5e5739df779b08a544fc0036b1add8b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"66e5a0619c3fd7f284ac426834f6b83ec5e5739df779b08a544fc0036b1add8b","first_computed_at":"2026-07-05T00:14:57.249181Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:14:57.249181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hSbAnZTvhjWZfJeczWvlv25lyKNLB57IG0J7d3oRcBMyu4FCAnVW37Xh3JqA+D1kyVGKl5tmwVleESrlCz+xCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:14:57.249582Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.11824","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47bbcabe8a7f3b8941b6491169e72c0382a9c5fdee25a3d5a6a13983980744d7","sha256:fc045c5630e8d2cf8069c99531cf3aee67a960060dc1dcf775c147e33b107744"],"state_sha256":"568f6868bb2b3f07d6bfd13ab26aed90d73389a9b5fc2a8445e6150333d0c6f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZWpaxkRQvANA+zF5sL52hU1t+DGBabEfJ1QwsACFtN3vXd9VFML89eU3hDcfyflErYQBQPzIJSA+IVE1kYOzAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T18:37:14.198027Z","bundle_sha256":"fcec98c5f0c710359274eab81f1e8b5a2172bb184643eec587ced5d8e97683f0"}}