{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:OCTY3F7YFMTNTHFGJUXBPBZMB3","short_pith_number":"pith:OCTY3F7Y","schema_version":"1.0","canonical_sha256":"70a78d97f82b26d99ca64d2e17872c0efaca3f9dabfe8ab44c0605832409e170","source":{"kind":"arxiv","id":"1812.01570","version":1},"attestation_state":"computed","paper":{"title":"Intensity Particle Flow SMC-PHD Filter For Audio Speaker Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Volkan Kilic, Wenwu Wang, Yang Liu","submitted_at":"2018-12-04T18:20:27Z","abstract_excerpt":"Non-zero diffusion particle flow Sequential Monte Carlo probability hypothesis density (NPF-SMC-PHD) filtering has been recently introduced for multi-speaker tracking. However, the NPF does not consider the missing detection which plays a key role in estimation of the number of speakers with their states. To address this limitation, we propose to use intensity particle flow (IPF) in NPFSMC-PHD filter. The proposed method, IPF-SMC-PHD, considers the clutter intensity and detection probability while no data association algorithms are used for the calculation of particle flow. Experiments on the "},"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":"1812.01570","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2018-12-04T18:20:27Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"6a117e7e65bffe104f4203ba4ff900aaa0f226e126a21fde391d9d1c022e679a","abstract_canon_sha256":"0c2fac208a5745bffa4e3f7532a066b4e9f56294d681b057440f35641c6b3291"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:10.468924Z","signature_b64":"crwXW8Jl82xHcf8fyqNDGwOtynMj4v0W0pr44eCTaCl+BM4c4ZhoNiFl87b40qpPrz/xAGLCT6ru1ZtVq9NHCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70a78d97f82b26d99ca64d2e17872c0efaca3f9dabfe8ab44c0605832409e170","last_reissued_at":"2026-05-17T23:59:10.468450Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:10.468450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Intensity Particle Flow SMC-PHD Filter For Audio Speaker Tracking","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Volkan Kilic, Wenwu Wang, Yang Liu","submitted_at":"2018-12-04T18:20:27Z","abstract_excerpt":"Non-zero diffusion particle flow Sequential Monte Carlo probability hypothesis density (NPF-SMC-PHD) filtering has been recently introduced for multi-speaker tracking. However, the NPF does not consider the missing detection which plays a key role in estimation of the number of speakers with their states. To address this limitation, we propose to use intensity particle flow (IPF) in NPFSMC-PHD filter. The proposed method, IPF-SMC-PHD, considers the clutter intensity and detection probability while no data association algorithms are used for the calculation of particle flow. Experiments on the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.01570","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":"1812.01570","created_at":"2026-05-17T23:59:10.468520+00:00"},{"alias_kind":"arxiv_version","alias_value":"1812.01570v1","created_at":"2026-05-17T23:59:10.468520+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.01570","created_at":"2026-05-17T23:59:10.468520+00:00"},{"alias_kind":"pith_short_12","alias_value":"OCTY3F7YFMTN","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_16","alias_value":"OCTY3F7YFMTNTHFG","created_at":"2026-05-18T12:32:43.782077+00:00"},{"alias_kind":"pith_short_8","alias_value":"OCTY3F7Y","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/OCTY3F7YFMTNTHFGJUXBPBZMB3","json":"https://pith.science/pith/OCTY3F7YFMTNTHFGJUXBPBZMB3.json","graph_json":"https://pith.science/api/pith-number/OCTY3F7YFMTNTHFGJUXBPBZMB3/graph.json","events_json":"https://pith.science/api/pith-number/OCTY3F7YFMTNTHFGJUXBPBZMB3/events.json","paper":"https://pith.science/paper/OCTY3F7Y"},"agent_actions":{"view_html":"https://pith.science/pith/OCTY3F7YFMTNTHFGJUXBPBZMB3","download_json":"https://pith.science/pith/OCTY3F7YFMTNTHFGJUXBPBZMB3.json","view_paper":"https://pith.science/paper/OCTY3F7Y","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1812.01570&json=true","fetch_graph":"https://pith.science/api/pith-number/OCTY3F7YFMTNTHFGJUXBPBZMB3/graph.json","fetch_events":"https://pith.science/api/pith-number/OCTY3F7YFMTNTHFGJUXBPBZMB3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OCTY3F7YFMTNTHFGJUXBPBZMB3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OCTY3F7YFMTNTHFGJUXBPBZMB3/action/storage_attestation","attest_author":"https://pith.science/pith/OCTY3F7YFMTNTHFGJUXBPBZMB3/action/author_attestation","sign_citation":"https://pith.science/pith/OCTY3F7YFMTNTHFGJUXBPBZMB3/action/citation_signature","submit_replication":"https://pith.science/pith/OCTY3F7YFMTNTHFGJUXBPBZMB3/action/replication_record"}},"created_at":"2026-05-17T23:59:10.468520+00:00","updated_at":"2026-05-17T23:59:10.468520+00:00"}