{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:C2AEIZ3W4MX34OBX2V4Y5FA6AD","short_pith_number":"pith:C2AEIZ3W","schema_version":"1.0","canonical_sha256":"1680446776e32fbe3837d5798e941e00e0599b7bd81d9d6a4d2cb7927bc78c1d","source":{"kind":"arxiv","id":"1810.13109","version":1},"attestation_state":"computed","paper":{"title":"Latent variable approach to diarization of audio recordings using ad-hoc randomly placed mobile devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Anirban Bhowmick, Srikanth Raj Chetupalli, Thippur V. Sreenivas","submitted_at":"2018-10-31T05:16:25Z","abstract_excerpt":"Diarization of audio recordings from ad-hoc mobile devices using spatial information is considered in this paper. A two-channel synchronous recording is assumed for each mobile device, which is used to compute directional statistics separately at each device in a frame-wise manner. The recordings across the mobile devices are asynchronous, but a coarse synchronization is performed by aligning the signals using acoustic events, or real-time clock. Direction statistics computed for all the devices, are then modeled jointly using a Dirichlet mixture model, and the posterior probability over the m"},"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":"1810.13109","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2018-10-31T05:16:25Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"a72883b080f91c977dd992989891c78590a12b4912c5ee8b08182c9001166a52","abstract_canon_sha256":"d879bc4cc5f0deab1916a39878e10383c317529e831245548e653b30dbee5966"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:01:52.250363Z","signature_b64":"M0FI8Hu6up/EXfu8QyIm3mNlOe+GL8WQr29wumO5wjgenOPWrdbNEd9he1XozTbYYp3nwDHIC1pKsWtuHgFoAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1680446776e32fbe3837d5798e941e00e0599b7bd81d9d6a4d2cb7927bc78c1d","last_reissued_at":"2026-05-18T00:01:52.249824Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:01:52.249824Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Latent variable approach to diarization of audio recordings using ad-hoc randomly placed mobile devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Anirban Bhowmick, Srikanth Raj Chetupalli, Thippur V. Sreenivas","submitted_at":"2018-10-31T05:16:25Z","abstract_excerpt":"Diarization of audio recordings from ad-hoc mobile devices using spatial information is considered in this paper. A two-channel synchronous recording is assumed for each mobile device, which is used to compute directional statistics separately at each device in a frame-wise manner. The recordings across the mobile devices are asynchronous, but a coarse synchronization is performed by aligning the signals using acoustic events, or real-time clock. Direction statistics computed for all the devices, are then modeled jointly using a Dirichlet mixture model, and the posterior probability over the m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.13109","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":"1810.13109","created_at":"2026-05-18T00:01:52.249917+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.13109v1","created_at":"2026-05-18T00:01:52.249917+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.13109","created_at":"2026-05-18T00:01:52.249917+00:00"},{"alias_kind":"pith_short_12","alias_value":"C2AEIZ3W4MX3","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_16","alias_value":"C2AEIZ3W4MX34OBX","created_at":"2026-05-18T12:32:16.446611+00:00"},{"alias_kind":"pith_short_8","alias_value":"C2AEIZ3W","created_at":"2026-05-18T12:32:16.446611+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/C2AEIZ3W4MX34OBX2V4Y5FA6AD","json":"https://pith.science/pith/C2AEIZ3W4MX34OBX2V4Y5FA6AD.json","graph_json":"https://pith.science/api/pith-number/C2AEIZ3W4MX34OBX2V4Y5FA6AD/graph.json","events_json":"https://pith.science/api/pith-number/C2AEIZ3W4MX34OBX2V4Y5FA6AD/events.json","paper":"https://pith.science/paper/C2AEIZ3W"},"agent_actions":{"view_html":"https://pith.science/pith/C2AEIZ3W4MX34OBX2V4Y5FA6AD","download_json":"https://pith.science/pith/C2AEIZ3W4MX34OBX2V4Y5FA6AD.json","view_paper":"https://pith.science/paper/C2AEIZ3W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.13109&json=true","fetch_graph":"https://pith.science/api/pith-number/C2AEIZ3W4MX34OBX2V4Y5FA6AD/graph.json","fetch_events":"https://pith.science/api/pith-number/C2AEIZ3W4MX34OBX2V4Y5FA6AD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/C2AEIZ3W4MX34OBX2V4Y5FA6AD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/C2AEIZ3W4MX34OBX2V4Y5FA6AD/action/storage_attestation","attest_author":"https://pith.science/pith/C2AEIZ3W4MX34OBX2V4Y5FA6AD/action/author_attestation","sign_citation":"https://pith.science/pith/C2AEIZ3W4MX34OBX2V4Y5FA6AD/action/citation_signature","submit_replication":"https://pith.science/pith/C2AEIZ3W4MX34OBX2V4Y5FA6AD/action/replication_record"}},"created_at":"2026-05-18T00:01:52.249917+00:00","updated_at":"2026-05-18T00:01:52.249917+00:00"}