{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:P3VITPZNPNRU4OMFNPNUHOEJ73","short_pith_number":"pith:P3VITPZN","schema_version":"1.0","canonical_sha256":"7eea89bf2d7b634e39856bdb43b889fedf6b37cb590d3281200b625deb3c870f","source":{"kind":"arxiv","id":"2508.19308","version":1},"attestation_state":"computed","paper":{"title":"Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Haolin Yu, Yanxiong Li","submitted_at":"2025-08-26T08:07:36Z","abstract_excerpt":"Infant cry detection is a crucial component of baby care system. In this paper, we propose a lightweight and robust method for infant cry detection. The method leverages blueprint separable convolutions to reduce computational complexity, and a time-frequency recurrent neural network for adaptive denoising. The overall framework of the method is structured as a multi-scale convolutional recurrent neural network, which is enhanced by efficient spatial attention mechanism and contrast-aware channel attention module, and acquire local and global information from the input feature of log Mel-spect"},"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":"2508.19308","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2025-08-26T08:07:36Z","cross_cats_sorted":[],"title_canon_sha256":"5f71def45aa3ba1a6eaf3f5a74918c2b42933ea9d0ca041067ee4987ccb38685","abstract_canon_sha256":"b475ca832f6d0ebc67ddec650edfa35b68b471ca9048a9eec7571d964668334c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:59:42.885031Z","signature_b64":"6Akh7idrEUkQrwlkmJ6N5mWiyi9DJvQ+A+ibxR/rov65dh/BEUqW4DpcMmHAq4DfDshk0NQ/G2yc3etB3/iCAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7eea89bf2d7b634e39856bdb43b889fedf6b37cb590d3281200b625deb3c870f","last_reissued_at":"2026-07-05T11:59:42.884636Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:59:42.884636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Infant Cry Detection In Noisy Environment Using Blueprint Separable Convolutions and Time-Frequency Recurrent Neural Network","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Haolin Yu, Yanxiong Li","submitted_at":"2025-08-26T08:07:36Z","abstract_excerpt":"Infant cry detection is a crucial component of baby care system. In this paper, we propose a lightweight and robust method for infant cry detection. The method leverages blueprint separable convolutions to reduce computational complexity, and a time-frequency recurrent neural network for adaptive denoising. The overall framework of the method is structured as a multi-scale convolutional recurrent neural network, which is enhanced by efficient spatial attention mechanism and contrast-aware channel attention module, and acquire local and global information from the input feature of log Mel-spect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.19308","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/2508.19308/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.19308","created_at":"2026-07-05T11:59:42.884692+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.19308v1","created_at":"2026-07-05T11:59:42.884692+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.19308","created_at":"2026-07-05T11:59:42.884692+00:00"},{"alias_kind":"pith_short_12","alias_value":"P3VITPZNPNRU","created_at":"2026-07-05T11:59:42.884692+00:00"},{"alias_kind":"pith_short_16","alias_value":"P3VITPZNPNRU4OMF","created_at":"2026-07-05T11:59:42.884692+00:00"},{"alias_kind":"pith_short_8","alias_value":"P3VITPZN","created_at":"2026-07-05T11:59:42.884692+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/P3VITPZNPNRU4OMFNPNUHOEJ73","json":"https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73.json","graph_json":"https://pith.science/api/pith-number/P3VITPZNPNRU4OMFNPNUHOEJ73/graph.json","events_json":"https://pith.science/api/pith-number/P3VITPZNPNRU4OMFNPNUHOEJ73/events.json","paper":"https://pith.science/paper/P3VITPZN"},"agent_actions":{"view_html":"https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73","download_json":"https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73.json","view_paper":"https://pith.science/paper/P3VITPZN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.19308&json=true","fetch_graph":"https://pith.science/api/pith-number/P3VITPZNPNRU4OMFNPNUHOEJ73/graph.json","fetch_events":"https://pith.science/api/pith-number/P3VITPZNPNRU4OMFNPNUHOEJ73/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73/action/storage_attestation","attest_author":"https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73/action/author_attestation","sign_citation":"https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73/action/citation_signature","submit_replication":"https://pith.science/pith/P3VITPZNPNRU4OMFNPNUHOEJ73/action/replication_record"}},"created_at":"2026-07-05T11:59:42.884692+00:00","updated_at":"2026-07-05T11:59:42.884692+00:00"}