{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:VCTW6KTYBLBEEW7GRMNV52RQ77","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":"6581d2f5d13287a39000fd97efe505c4459db3bb631d6d1b8301ef5829678e23","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-02T10:12:52Z","title_canon_sha256":"acf2347742c5e0ae21766fc42cb65a45b23f670d357e8166762ce8ee758fd24b"},"schema_version":"1.0","source":{"id":"1706.00612","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00612","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00612v1","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00612","created_at":"2026-05-18T00:43:12Z"},{"alias_kind":"pith_short_12","alias_value":"VCTW6KTYBLBE","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_16","alias_value":"VCTW6KTYBLBEEW7G","created_at":"2026-05-18T12:31:49Z"},{"alias_kind":"pith_short_8","alias_value":"VCTW6KTY","created_at":"2026-05-18T12:31:49Z"}],"graph_snapshots":[{"event_id":"sha256:10d8f178afda406feb05a7e50ab5bbd8f037766359b97246535dcb15ded83b75","target":"graph","created_at":"2026-05-18T00:43:12Z","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"},"paper":{"abstract_excerpt":"Speech emotion recognition is an important and challenging task in the realm of human-computer interaction. Prior work proposed a variety of models and feature sets for training a system. In this work, we conduct extensive experiments using an attentive convolutional neural network with multi-view learning objective function. We compare system performance using different lengths of the input signal, different types of acoustic features and different types of emotion speech (improvised/scripted). Our experimental results on the Interactive Emotional Motion Capture (IEMOCAP) database reveal that","authors_text":"Michael Neumann, Ngoc Thang Vu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-02T10:12:52Z","title":"Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00612","kind":"arxiv","version":1},"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:b54a7d4761d869cdfaafa00673d6e6bac37792760a0bdd404644089d2060c4af","target":"record","created_at":"2026-05-18T00:43:12Z","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":"6581d2f5d13287a39000fd97efe505c4459db3bb631d6d1b8301ef5829678e23","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-06-02T10:12:52Z","title_canon_sha256":"acf2347742c5e0ae21766fc42cb65a45b23f670d357e8166762ce8ee758fd24b"},"schema_version":"1.0","source":{"id":"1706.00612","kind":"arxiv","version":1}},"canonical_sha256":"a8a76f2a780ac2425be68b1b5eea30fffafbb80c3df9f431e02b591f69772a83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a8a76f2a780ac2425be68b1b5eea30fffafbb80c3df9f431e02b591f69772a83","first_computed_at":"2026-05-18T00:43:12.548855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:12.548855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nP3aGSyOJQ2exPm/7dymMjFUjnqgLLLyLz4rKk2Nd/IAkQE8ax6t91WtUE/O/idOeR5QZHbOV1OwW25Lg227AA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:12.549362Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.00612","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b54a7d4761d869cdfaafa00673d6e6bac37792760a0bdd404644089d2060c4af","sha256:10d8f178afda406feb05a7e50ab5bbd8f037766359b97246535dcb15ded83b75"],"state_sha256":"c0da13de12ebdbc8ac63bf9b715a1539d76a381a0e19a62ec42046f0abbef9f7"}