{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JPTSISQECICBJ6N2P4FVKAZOYZ","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":"9c29fa2d1def6107e8393ff93e5cc3d7cef70d30715a40540c7968d3ca426102","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-31T13:11:06Z","title_canon_sha256":"7c35475a7c8726a05cb0d803408d8745386053acc4ba57786880fc419408a4b5"},"schema_version":"1.0","source":{"id":"1703.10887","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.10887","created_at":"2026-05-18T00:47:32Z"},{"alias_kind":"arxiv_version","alias_value":"1703.10887v1","created_at":"2026-05-18T00:47:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.10887","created_at":"2026-05-18T00:47:32Z"},{"alias_kind":"pith_short_12","alias_value":"JPTSISQECICB","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JPTSISQECICBJ6N2","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JPTSISQE","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:4ce7bc122089dd5de9303772528e6f32abf778d3d49995cde526d0a7660b5a38","target":"graph","created_at":"2026-05-18T00:47:32Z","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":"Automatically detecting sound units of humpback whales in complex time-varying background noises is a current challenge for scientists. In this paper, we explore the applicability of Convolution Neural Network (CNN) method for this task. In the evaluation stage, we present 6 bi-class classification experimentations of whale sound detection against different background noise types (e.g., rain, wind). In comparison to classical FFT-based representation like spectrograms, we showed that the use of image-based pretrained CNN features brought higher performance to classify whale sounds and backgrou","authors_text":"Cazau Dorian, Jean-Luc Zarader, Julien Bonnel, Olivier Adam, Riwal Lefort","cross_cats":["cs.LG","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-31T13:11:06Z","title":"Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.10887","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:e97665e6c382a4ed3266681d28e12986ac62474f6f3db249fdfc635e151bc8e2","target":"record","created_at":"2026-05-18T00:47:32Z","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":"9c29fa2d1def6107e8393ff93e5cc3d7cef70d30715a40540c7968d3ca426102","cross_cats_sorted":["cs.LG","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-03-31T13:11:06Z","title_canon_sha256":"7c35475a7c8726a05cb0d803408d8745386053acc4ba57786880fc419408a4b5"},"schema_version":"1.0","source":{"id":"1703.10887","kind":"arxiv","version":1}},"canonical_sha256":"4be7244a04120414f9ba7f0b55032ec654e49ddde1c435b5ee0acb6673e53164","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4be7244a04120414f9ba7f0b55032ec654e49ddde1c435b5ee0acb6673e53164","first_computed_at":"2026-05-18T00:47:32.410542Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:32.410542Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wUxaifC/OnmfgsE6cSIMtZXOiAA3+LLE/X5Hu3UtaFBYtfXKWbiSNauS9eK58Wm+hIXrViz7lqFJckmoFviqBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:32.411239Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.10887","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e97665e6c382a4ed3266681d28e12986ac62474f6f3db249fdfc635e151bc8e2","sha256:4ce7bc122089dd5de9303772528e6f32abf778d3d49995cde526d0a7660b5a38"],"state_sha256":"1e4b274285369e71c220d28123e79ed1c6a767202914693581f31f21f8f34c07"}