{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:77ISQ3WZXCPUOUDBHYVJJHAB5J","short_pith_number":"pith:77ISQ3WZ","schema_version":"1.0","canonical_sha256":"ffd1286ed9b89f4750613e2a949c01ea7ad604309047e8162f7fad1b060b6c01","source":{"kind":"arxiv","id":"2305.14402","version":3},"attestation_state":"computed","paper":{"title":"Enhancing Speech Emotion Recognition Through Differentiable Architecture Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Berrak Sisman, Bj\\\"orn Schuller, Rajib Rana, Sara Khalifa, Thejan Rajapakshe","submitted_at":"2023-05-23T10:16:08Z","abstract_excerpt":"Speech Emotion Recognition (SER) is a critical enabler of emotion-aware communication in human-computer interactions. Recent advancements in Deep Learning (DL) have substantially enhanced the performance of SER models through increased model complexity. However, designing optimal DL architectures requires prior experience and experimental evaluations. Encouragingly, Neural Architecture Search (NAS) offers a promising avenue to determine an optimal DL model automatically. In particular, Differentiable Architecture Search (DARTS) is an efficient method of using NAS to search for optimised models"},"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":"2305.14402","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-05-23T10:16:08Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"90c7cfb966db235f49cfb46ba72595cbc26b1e59cc22dc76c23c3b64f846ae57","abstract_canon_sha256":"e9c514cf4ca9a4896c63c00593aa45c2b5a47ae10f5c64134d6b69109ff1cc67"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:35:19.065334Z","signature_b64":"PV1rf6pLaJpmKW0n4RKW4dnxjTa7zIaFE81qp/lx45jIY8Ta6Pmss0vYwUPR2Qhj52s17royi5nEvMcfhij/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ffd1286ed9b89f4750613e2a949c01ea7ad604309047e8162f7fad1b060b6c01","last_reissued_at":"2026-07-05T07:35:19.064909Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:35:19.064909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enhancing Speech Emotion Recognition Through Differentiable Architecture Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Berrak Sisman, Bj\\\"orn Schuller, Rajib Rana, Sara Khalifa, Thejan Rajapakshe","submitted_at":"2023-05-23T10:16:08Z","abstract_excerpt":"Speech Emotion Recognition (SER) is a critical enabler of emotion-aware communication in human-computer interactions. Recent advancements in Deep Learning (DL) have substantially enhanced the performance of SER models through increased model complexity. However, designing optimal DL architectures requires prior experience and experimental evaluations. Encouragingly, Neural Architecture Search (NAS) offers a promising avenue to determine an optimal DL model automatically. In particular, Differentiable Architecture Search (DARTS) is an efficient method of using NAS to search for optimised models"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14402","kind":"arxiv","version":3},"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/2305.14402/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":"2305.14402","created_at":"2026-07-05T07:35:19.064965+00:00"},{"alias_kind":"arxiv_version","alias_value":"2305.14402v3","created_at":"2026-07-05T07:35:19.064965+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14402","created_at":"2026-07-05T07:35:19.064965+00:00"},{"alias_kind":"pith_short_12","alias_value":"77ISQ3WZXCPU","created_at":"2026-07-05T07:35:19.064965+00:00"},{"alias_kind":"pith_short_16","alias_value":"77ISQ3WZXCPUOUDB","created_at":"2026-07-05T07:35:19.064965+00:00"},{"alias_kind":"pith_short_8","alias_value":"77ISQ3WZ","created_at":"2026-07-05T07:35:19.064965+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/77ISQ3WZXCPUOUDBHYVJJHAB5J","json":"https://pith.science/pith/77ISQ3WZXCPUOUDBHYVJJHAB5J.json","graph_json":"https://pith.science/api/pith-number/77ISQ3WZXCPUOUDBHYVJJHAB5J/graph.json","events_json":"https://pith.science/api/pith-number/77ISQ3WZXCPUOUDBHYVJJHAB5J/events.json","paper":"https://pith.science/paper/77ISQ3WZ"},"agent_actions":{"view_html":"https://pith.science/pith/77ISQ3WZXCPUOUDBHYVJJHAB5J","download_json":"https://pith.science/pith/77ISQ3WZXCPUOUDBHYVJJHAB5J.json","view_paper":"https://pith.science/paper/77ISQ3WZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2305.14402&json=true","fetch_graph":"https://pith.science/api/pith-number/77ISQ3WZXCPUOUDBHYVJJHAB5J/graph.json","fetch_events":"https://pith.science/api/pith-number/77ISQ3WZXCPUOUDBHYVJJHAB5J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/77ISQ3WZXCPUOUDBHYVJJHAB5J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/77ISQ3WZXCPUOUDBHYVJJHAB5J/action/storage_attestation","attest_author":"https://pith.science/pith/77ISQ3WZXCPUOUDBHYVJJHAB5J/action/author_attestation","sign_citation":"https://pith.science/pith/77ISQ3WZXCPUOUDBHYVJJHAB5J/action/citation_signature","submit_replication":"https://pith.science/pith/77ISQ3WZXCPUOUDBHYVJJHAB5J/action/replication_record"}},"created_at":"2026-07-05T07:35:19.064965+00:00","updated_at":"2026-07-05T07:35:19.064965+00:00"}