{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:KBRLNIX2P3TX7ONNOFE6VSYYJC","short_pith_number":"pith:KBRLNIX2","canonical_record":{"source":{"id":"2112.09596","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-12-17T16:14:51Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"c6fa13afa9790beba587e13bb9486c5f24cc460816cc17deab0c03d01d6ca47e","abstract_canon_sha256":"9b9ce1e63c64461090b5ae700620f75bf8eee0221cff95de7fb4180843c17034"},"schema_version":"1.0"},"canonical_sha256":"5062b6a2fa7ee77fb9ad7149eacb1848acef7ff4ce17a85818039334f2aba40f","source":{"kind":"arxiv","id":"2112.09596","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.09596","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"arxiv_version","alias_value":"2112.09596v2","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.09596","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"pith_short_12","alias_value":"KBRLNIX2P3TX","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"pith_short_16","alias_value":"KBRLNIX2P3TX7ONN","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"pith_short_8","alias_value":"KBRLNIX2","created_at":"2026-07-05T05:10:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:KBRLNIX2P3TX7ONNOFE6VSYYJC","target":"record","payload":{"canonical_record":{"source":{"id":"2112.09596","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-12-17T16:14:51Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"c6fa13afa9790beba587e13bb9486c5f24cc460816cc17deab0c03d01d6ca47e","abstract_canon_sha256":"9b9ce1e63c64461090b5ae700620f75bf8eee0221cff95de7fb4180843c17034"},"schema_version":"1.0"},"canonical_sha256":"5062b6a2fa7ee77fb9ad7149eacb1848acef7ff4ce17a85818039334f2aba40f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:10:53.694444Z","signature_b64":"qc7cM5ylVWjcwIQJ2q8++Y6BErDhI9S0I6oZvRL/0GEANyMqatykXQd0FcZJE5tilClhyu/doTkTTpLgqESPBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5062b6a2fa7ee77fb9ad7149eacb1848acef7ff4ce17a85818039334f2aba40f","last_reissued_at":"2026-07-05T05:10:53.693891Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:10:53.693891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.09596","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:10:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KT0lfH9h1rhZb4joedNfS5rzz1zVs70LC5NZcojzQDMwh14toFzUEaSGeHxlRUuQ1SMcjciE8zCnmoVgX0qrCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:23:19.729422Z"},"content_sha256":"4f402931b79b904e6181e41471b0f19cd8ab16445bbf9f8c3d589f6d1a40ae6c","schema_version":"1.0","event_id":"sha256:4f402931b79b904e6181e41471b0f19cd8ab16445bbf9f8c3d589f6d1a40ae6c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:KBRLNIX2P3TX7ONNOFE6VSYYJC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Linguistic and Gender Variation in Speech Emotion Recognition using Spectral Features","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Ruairi O'Reilly, Ryan Donovan, Zachary Dair","submitted_at":"2021-12-17T16:14:51Z","abstract_excerpt":"This work explores the effect of gender and linguistic-based vocal variations on the accuracy of emotive expression classification. Emotive expressions are considered from the perspective of spectral features in speech (Mel-frequency Cepstral Coefficient, Melspectrogram, Spectral Contrast). Emotions are considered from the perspective of Basic Emotion Theory. A convolutional neural network is utilised to classify emotive expressions in emotive audio datasets in English, German, and Italian. Vocal variations for spectral features assessed by (i) a comparative analysis identifying suitable spect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.09596","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2112.09596/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:10:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uB2yJOCUafDLQe1Yrxbn+ONfioxWaOZo7rAVlyYwPBP3Ox3dYj13tIqZ1VS5qbVqtWLPagd/UfuJnhvjz+0qCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:23:19.729936Z"},"content_sha256":"443b024ba0f82b016bd99377b8d6ab8ed32868dba69dc25ab993f30493f2e0fd","schema_version":"1.0","event_id":"sha256:443b024ba0f82b016bd99377b8d6ab8ed32868dba69dc25ab993f30493f2e0fd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KBRLNIX2P3TX7ONNOFE6VSYYJC/bundle.json","state_url":"https://pith.science/pith/KBRLNIX2P3TX7ONNOFE6VSYYJC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KBRLNIX2P3TX7ONNOFE6VSYYJC/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T01:23:19Z","links":{"resolver":"https://pith.science/pith/KBRLNIX2P3TX7ONNOFE6VSYYJC","bundle":"https://pith.science/pith/KBRLNIX2P3TX7ONNOFE6VSYYJC/bundle.json","state":"https://pith.science/pith/KBRLNIX2P3TX7ONNOFE6VSYYJC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KBRLNIX2P3TX7ONNOFE6VSYYJC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KBRLNIX2P3TX7ONNOFE6VSYYJC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9b9ce1e63c64461090b5ae700620f75bf8eee0221cff95de7fb4180843c17034","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-12-17T16:14:51Z","title_canon_sha256":"c6fa13afa9790beba587e13bb9486c5f24cc460816cc17deab0c03d01d6ca47e"},"schema_version":"1.0","source":{"id":"2112.09596","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.09596","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"arxiv_version","alias_value":"2112.09596v2","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.09596","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"pith_short_12","alias_value":"KBRLNIX2P3TX","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"pith_short_16","alias_value":"KBRLNIX2P3TX7ONN","created_at":"2026-07-05T05:10:53Z"},{"alias_kind":"pith_short_8","alias_value":"KBRLNIX2","created_at":"2026-07-05T05:10:53Z"}],"graph_snapshots":[{"event_id":"sha256:443b024ba0f82b016bd99377b8d6ab8ed32868dba69dc25ab993f30493f2e0fd","target":"graph","created_at":"2026-07-05T05:10:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2112.09596/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work explores the effect of gender and linguistic-based vocal variations on the accuracy of emotive expression classification. Emotive expressions are considered from the perspective of spectral features in speech (Mel-frequency Cepstral Coefficient, Melspectrogram, Spectral Contrast). Emotions are considered from the perspective of Basic Emotion Theory. A convolutional neural network is utilised to classify emotive expressions in emotive audio datasets in English, German, and Italian. Vocal variations for spectral features assessed by (i) a comparative analysis identifying suitable spect","authors_text":"Ruairi O'Reilly, Ryan Donovan, Zachary Dair","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-12-17T16:14:51Z","title":"Linguistic and Gender Variation in Speech Emotion Recognition using Spectral Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.09596","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4f402931b79b904e6181e41471b0f19cd8ab16445bbf9f8c3d589f6d1a40ae6c","target":"record","created_at":"2026-07-05T05:10:53Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9b9ce1e63c64461090b5ae700620f75bf8eee0221cff95de7fb4180843c17034","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-12-17T16:14:51Z","title_canon_sha256":"c6fa13afa9790beba587e13bb9486c5f24cc460816cc17deab0c03d01d6ca47e"},"schema_version":"1.0","source":{"id":"2112.09596","kind":"arxiv","version":2}},"canonical_sha256":"5062b6a2fa7ee77fb9ad7149eacb1848acef7ff4ce17a85818039334f2aba40f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5062b6a2fa7ee77fb9ad7149eacb1848acef7ff4ce17a85818039334f2aba40f","first_computed_at":"2026-07-05T05:10:53.693891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:53.693891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qc7cM5ylVWjcwIQJ2q8++Y6BErDhI9S0I6oZvRL/0GEANyMqatykXQd0FcZJE5tilClhyu/doTkTTpLgqESPBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:53.694444Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.09596","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f402931b79b904e6181e41471b0f19cd8ab16445bbf9f8c3d589f6d1a40ae6c","sha256:443b024ba0f82b016bd99377b8d6ab8ed32868dba69dc25ab993f30493f2e0fd"],"state_sha256":"0901e442580093713bda5b9547d703813c8038a04ed75d56e6ab95f095cc4d1a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TPFKZm5mF0fD4U0liCF8iLNEFtdOFtBFN2UxJT2Mz5qHpCAYyZxuj6CLwIZAZKmh/sVsOn8L5NRIXyKTu3W1Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T01:23:19.733794Z","bundle_sha256":"f6bf477b14c841880f9a04ea012d540e015bc7c41973246b6d9118ebd430989e"}}