{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:N4ZQ6Q7S34TFWNU5P5Y7JYPIWR","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":"592ef8feae92e262a95fe96bc255a2c69a7662aebba9258bb5f2f1df93827aa7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-03-14T22:17:49Z","title_canon_sha256":"862c03281801ea5181828df0a3b03a034d48f954b066666fb063becc1268d7a2"},"schema_version":"1.0","source":{"id":"1703.04770","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04770","created_at":"2026-05-18T00:43:08Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04770v2","created_at":"2026-05-18T00:43:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04770","created_at":"2026-05-18T00:43:08Z"},{"alias_kind":"pith_short_12","alias_value":"N4ZQ6Q7S34TF","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"N4ZQ6Q7S34TFWNU5","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"N4ZQ6Q7S","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:23e436a030404975800b5cff30e692c2e31fc706ec2a6280ead352bfbc76d370","target":"graph","created_at":"2026-05-18T00:43:08Z","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":"We introduce in this work an efficient approach for audio scene classification using deep recurrent neural networks. An audio scene is firstly transformed into a sequence of high-level label tree embedding feature vectors. The vector sequence is then divided into multiple subsequences on which a deep GRU-based recurrent neural network is trained for sequence-to-label classification. The global predicted label for the entire sequence is finally obtained via aggregation of subsequence classification outputs. We will show that our approach obtains an F1-score of 97.7% on the LITIS Rouen dataset, ","authors_text":"Alfred Mertins, Fabrice Katzberg, Huy Phan, Marco Maass, Philipp Koch, Radoslaw Mazur","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-03-14T22:17:49Z","title":"Audio Scene Classification with Deep Recurrent Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04770","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":"sha256:24745e685232020948403d8b2c2220a4accb4d8f270c0b62ff489c96dc030077","target":"record","created_at":"2026-05-18T00:43:08Z","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":"592ef8feae92e262a95fe96bc255a2c69a7662aebba9258bb5f2f1df93827aa7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2017-03-14T22:17:49Z","title_canon_sha256":"862c03281801ea5181828df0a3b03a034d48f954b066666fb063becc1268d7a2"},"schema_version":"1.0","source":{"id":"1703.04770","kind":"arxiv","version":2}},"canonical_sha256":"6f330f43f2df265b369d7f71f4e1e8b4619524541ddfc05273deb9dfa1ea1bd8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6f330f43f2df265b369d7f71f4e1e8b4619524541ddfc05273deb9dfa1ea1bd8","first_computed_at":"2026-05-18T00:43:08.507942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:08.507942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C63xUPdEnIUqRnpCtH2KOwBz0xDXtLY6U0LfezlrAS7JiOVuQIShyHBQW1nZZIX7KC5YHSow95xU0ln22LBjBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:08.508714Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.04770","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24745e685232020948403d8b2c2220a4accb4d8f270c0b62ff489c96dc030077","sha256:23e436a030404975800b5cff30e692c2e31fc706ec2a6280ead352bfbc76d370"],"state_sha256":"d40efd9ba58009f4ccb0b0d71ce4cde2f313724b2e51e3acabdadf4ed6fe0a36"}