{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:OULQJZ4CF6P7DA2SIRGH7EAMNW","short_pith_number":"pith:OULQJZ4C","schema_version":"1.0","canonical_sha256":"751704e7822f9ff18352444c7f900c6d92e588411400c81c42c6b568e2da1ece","source":{"kind":"arxiv","id":"1812.01521","version":1},"attestation_state":"computed","paper":{"title":"Localization and Tracking of an Acoustic Source using a Diagonal Unloading Beamforming and a Kalman Filter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Carlo Drioli, Daniele Salvati, Gian Luca Foresti","submitted_at":"2018-12-04T16:48:52Z","abstract_excerpt":"We present the signal processing framework and some results for the IEEE AASP challenge on acoustic source localization and tracking (LOCATA). The system is designed for the direction of arrival (DOA) estimation in single-source scenarios. The proposed framework consists of four main building blocks: pre-processing, voice activity detection (VAD), localization, tracking. The signal pre-processing pipeline includes the short-time Fourier transform (STFT) of the multichannel input captured by the array and the cross power spectral density (CPSD) matrices estimation. The VAD is calculated with a "},"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":"1812.01521","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-04T16:48:52Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"c1e9fd656afd3a482bacad6dab3e497fff5eec61e078abc7e43910378d38b4b2","abstract_canon_sha256":"851b29efbc85c6959563c9a236511f731e0a56f8ae2c2f179a22ca6193c6b8cc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:12.274712Z","signature_b64":"86igcMigL3mE9UugVsDwPsPHmsZPPkv5+dbj14Dbekk/TshAxYzZ1tGC3GPBq/Y0sROn/10mG+KolVBxLCWHAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"751704e7822f9ff18352444c7f900c6d92e588411400c81c42c6b568e2da1ece","last_reissued_at":"2026-05-17T23:59:12.274092Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:12.274092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Localization and Tracking of an Acoustic Source using a Diagonal Unloading Beamforming and a Kalman Filter","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Carlo Drioli, Daniele Salvati, Gian Luca Foresti","submitted_at":"2018-12-04T16:48:52Z","abstract_excerpt":"We present the signal processing framework and some results for the IEEE AASP challenge on acoustic source localization and tracking (LOCATA). The system is designed for the direction of arrival (DOA) estimation in single-source scenarios. The proposed framework consists of four main building blocks: pre-processing, voice activity detection (VAD), localization, tracking. The signal pre-processing pipeline includes the short-time Fourier transform (STFT) of the multichannel input captured by the array and the cross power spectral density (CPSD) matrices estimation. The VAD is calculated with a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01521","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":"1812.01521","created_at":"2026-05-17T23:59:12.274202+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.01521v1","created_at":"2026-05-17T23:59:12.274202+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01521","created_at":"2026-05-17T23:59:12.274202+00:00"},{"alias_kind":"pith_short_12","alias_value":"OULQJZ4CF6P7","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_16","alias_value":"OULQJZ4CF6P7DA2S","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_8","alias_value":"OULQJZ4C","created_at":"2026-05-18T12:32:43.782077+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/OULQJZ4CF6P7DA2SIRGH7EAMNW","json":"https://pith.science/pith/OULQJZ4CF6P7DA2SIRGH7EAMNW.json","graph_json":"https://pith.science/api/pith-number/OULQJZ4CF6P7DA2SIRGH7EAMNW/graph.json","events_json":"https://pith.science/api/pith-number/OULQJZ4CF6P7DA2SIRGH7EAMNW/events.json","paper":"https://pith.science/paper/OULQJZ4C"},"agent_actions":{"view_html":"https://pith.science/pith/OULQJZ4CF6P7DA2SIRGH7EAMNW","download_json":"https://pith.science/pith/OULQJZ4CF6P7DA2SIRGH7EAMNW.json","view_paper":"https://pith.science/paper/OULQJZ4C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.01521&json=true","fetch_graph":"https://pith.science/api/pith-number/OULQJZ4CF6P7DA2SIRGH7EAMNW/graph.json","fetch_events":"https://pith.science/api/pith-number/OULQJZ4CF6P7DA2SIRGH7EAMNW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OULQJZ4CF6P7DA2SIRGH7EAMNW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OULQJZ4CF6P7DA2SIRGH7EAMNW/action/storage_attestation","attest_author":"https://pith.science/pith/OULQJZ4CF6P7DA2SIRGH7EAMNW/action/author_attestation","sign_citation":"https://pith.science/pith/OULQJZ4CF6P7DA2SIRGH7EAMNW/action/citation_signature","submit_replication":"https://pith.science/pith/OULQJZ4CF6P7DA2SIRGH7EAMNW/action/replication_record"}},"created_at":"2026-05-17T23:59:12.274202+00:00","updated_at":"2026-05-17T23:59:12.274202+00:00"}