{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:2CCTV4JBZUVM3IP6LO2OKYHO5V","short_pith_number":"pith:2CCTV4JB","schema_version":"1.0","canonical_sha256":"d0853af121cd2acda1fe5bb4e560eeed75378295d29545d7b60ebdf600891f0e","source":{"kind":"arxiv","id":"2502.08587","version":1},"attestation_state":"computed","paper":{"title":"Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Md. Sahidullah, Tomi Kinnunen, Vishwanath Pratap Singh","submitted_at":"2025-02-12T17:20:37Z","abstract_excerpt":"The increasing use of children's automatic speech recognition (ASR) systems has spurred research efforts to improve the accuracy of models designed for children's speech in recent years. The current approach utilizes either open-source speech foundation models (SFMs) directly or fine-tuning them with children's speech data. These SFMs, whether open-source or fine-tuned for children, often exhibit higher word error rates (WERs) compared to adult speech. However, there is a lack of systemic analysis of the cause of this degraded performance of SFMs. Understanding and addressing the reasons behin"},"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":"2502.08587","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2025-02-12T17:20:37Z","cross_cats_sorted":[],"title_canon_sha256":"bdc1a2271a5425bb7d775e0214cc4b9f0dc973dca5288326f051fbf65d39a7a7","abstract_canon_sha256":"8694cc2e352978610d55c9b044cb9b64da49f9044ba63d531257697f17fd8884"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:13:24.987749Z","signature_b64":"g6zKa14txlQulWL4jlcdkANk0dX4qXQ4jneYPvYto7/yMAdD9bybolXoIzAm5irJXhUvnJg5r7gnSZuX1f+JBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0853af121cd2acda1fe5bb4e560eeed75378295d29545d7b60ebdf600891f0e","last_reissued_at":"2026-07-05T10:13:24.987250Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:13:24.987250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Md. Sahidullah, Tomi Kinnunen, Vishwanath Pratap Singh","submitted_at":"2025-02-12T17:20:37Z","abstract_excerpt":"The increasing use of children's automatic speech recognition (ASR) systems has spurred research efforts to improve the accuracy of models designed for children's speech in recent years. The current approach utilizes either open-source speech foundation models (SFMs) directly or fine-tuning them with children's speech data. These SFMs, whether open-source or fine-tuned for children, often exhibit higher word error rates (WERs) compared to adult speech. However, there is a lack of systemic analysis of the cause of this degraded performance of SFMs. Understanding and addressing the reasons behin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.08587","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/2502.08587/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":"2502.08587","created_at":"2026-07-05T10:13:24.987309+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.08587v1","created_at":"2026-07-05T10:13:24.987309+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.08587","created_at":"2026-07-05T10:13:24.987309+00:00"},{"alias_kind":"pith_short_12","alias_value":"2CCTV4JBZUVM","created_at":"2026-07-05T10:13:24.987309+00:00"},{"alias_kind":"pith_short_16","alias_value":"2CCTV4JBZUVM3IP6","created_at":"2026-07-05T10:13:24.987309+00:00"},{"alias_kind":"pith_short_8","alias_value":"2CCTV4JB","created_at":"2026-07-05T10:13:24.987309+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/2CCTV4JBZUVM3IP6LO2OKYHO5V","json":"https://pith.science/pith/2CCTV4JBZUVM3IP6LO2OKYHO5V.json","graph_json":"https://pith.science/api/pith-number/2CCTV4JBZUVM3IP6LO2OKYHO5V/graph.json","events_json":"https://pith.science/api/pith-number/2CCTV4JBZUVM3IP6LO2OKYHO5V/events.json","paper":"https://pith.science/paper/2CCTV4JB"},"agent_actions":{"view_html":"https://pith.science/pith/2CCTV4JBZUVM3IP6LO2OKYHO5V","download_json":"https://pith.science/pith/2CCTV4JBZUVM3IP6LO2OKYHO5V.json","view_paper":"https://pith.science/paper/2CCTV4JB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.08587&json=true","fetch_graph":"https://pith.science/api/pith-number/2CCTV4JBZUVM3IP6LO2OKYHO5V/graph.json","fetch_events":"https://pith.science/api/pith-number/2CCTV4JBZUVM3IP6LO2OKYHO5V/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2CCTV4JBZUVM3IP6LO2OKYHO5V/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2CCTV4JBZUVM3IP6LO2OKYHO5V/action/storage_attestation","attest_author":"https://pith.science/pith/2CCTV4JBZUVM3IP6LO2OKYHO5V/action/author_attestation","sign_citation":"https://pith.science/pith/2CCTV4JBZUVM3IP6LO2OKYHO5V/action/citation_signature","submit_replication":"https://pith.science/pith/2CCTV4JBZUVM3IP6LO2OKYHO5V/action/replication_record"}},"created_at":"2026-07-05T10:13:24.987309+00:00","updated_at":"2026-07-05T10:13:24.987309+00:00"}