{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:AEAUX3UXURHEGFUKBNJ35FTLE6","short_pith_number":"pith:AEAUX3UX","schema_version":"1.0","canonical_sha256":"01014bee97a44e43168a0b53be966b2781e7f9749028c3328cd8ade4c785ae4a","source":{"kind":"arxiv","id":"1607.00087","version":2},"attestation_state":"computed","paper":{"title":"Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"cs.AI","authors_text":"Ah Chung Tsoi, Miao Cheng","submitted_at":"2016-07-01T00:54:10Z","abstract_excerpt":"As a general means of expression, audio analysis and recognition has attracted much attentions for its wide applications in real-life world. Audio emotion recognition (AER) attempts to understand emotional states of human with the given utterance signals, and has been studied abroad for its further development on friendly human-machine interfaces. Distinguish from other existing works, the person-dependent patterns of audio emotions are conducted, and fractal dimension features are calculated for acoustic feature extraction. Furthermore, it is able to efficiently learn intrinsic characteristic"},"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":"1607.00087","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-07-01T00:54:10Z","cross_cats_sorted":["cs.LG","cs.SD"],"title_canon_sha256":"0f66c2525229fe3812ea4d18f2e879f877f4660276f1fdcdab46df0f803c20f1","abstract_canon_sha256":"0e3bc480f3e1f67ad8dc7cc1a7e83076786a832f0b7f379e4ea16f3436b18e69"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:56:04.231696Z","signature_b64":"OK/EJfkEaoVq0QlgIO1W6hO9Zq2myTVHbPqVKoARuh2dLJ2Kpcx5za/QGJuO+uJAcNz9627uT3PULJLROkEcBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01014bee97a44e43168a0b53be966b2781e7f9749028c3328cd8ade4c785ae4a","last_reissued_at":"2026-05-18T00:56:04.231023Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:56:04.231023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SD"],"primary_cat":"cs.AI","authors_text":"Ah Chung Tsoi, Miao Cheng","submitted_at":"2016-07-01T00:54:10Z","abstract_excerpt":"As a general means of expression, audio analysis and recognition has attracted much attentions for its wide applications in real-life world. Audio emotion recognition (AER) attempts to understand emotional states of human with the given utterance signals, and has been studied abroad for its further development on friendly human-machine interfaces. Distinguish from other existing works, the person-dependent patterns of audio emotions are conducted, and fractal dimension features are calculated for acoustic feature extraction. Furthermore, it is able to efficiently learn intrinsic characteristic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.00087","kind":"arxiv","version":2},"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":"1607.00087","created_at":"2026-05-18T00:56:04.231141+00:00"},{"alias_kind":"arxiv_version","alias_value":"1607.00087v2","created_at":"2026-05-18T00:56:04.231141+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.00087","created_at":"2026-05-18T00:56:04.231141+00:00"},{"alias_kind":"pith_short_12","alias_value":"AEAUX3UXURHE","created_at":"2026-05-18T12:30:07.202191+00:00"},{"alias_kind":"pith_short_16","alias_value":"AEAUX3UXURHEGFUK","created_at":"2026-05-18T12:30:07.202191+00:00"},{"alias_kind":"pith_short_8","alias_value":"AEAUX3UX","created_at":"2026-05-18T12:30:07.202191+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/AEAUX3UXURHEGFUKBNJ35FTLE6","json":"https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6.json","graph_json":"https://pith.science/api/pith-number/AEAUX3UXURHEGFUKBNJ35FTLE6/graph.json","events_json":"https://pith.science/api/pith-number/AEAUX3UXURHEGFUKBNJ35FTLE6/events.json","paper":"https://pith.science/paper/AEAUX3UX"},"agent_actions":{"view_html":"https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6","download_json":"https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6.json","view_paper":"https://pith.science/paper/AEAUX3UX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1607.00087&json=true","fetch_graph":"https://pith.science/api/pith-number/AEAUX3UXURHEGFUKBNJ35FTLE6/graph.json","fetch_events":"https://pith.science/api/pith-number/AEAUX3UXURHEGFUKBNJ35FTLE6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6/action/storage_attestation","attest_author":"https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6/action/author_attestation","sign_citation":"https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6/action/citation_signature","submit_replication":"https://pith.science/pith/AEAUX3UXURHEGFUKBNJ35FTLE6/action/replication_record"}},"created_at":"2026-05-18T00:56:04.231141+00:00","updated_at":"2026-05-18T00:56:04.231141+00:00"}