{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:J4ZEOWK24YYC4U5FOGWK5XWAGJ","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":"3f2b155b69b0957782288a29d914124cb01c48a6dbd7e9ab1b35807260856e8d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-07-04T19:43:09Z","title_canon_sha256":"a94fe563a478ace9eb783c127f33b89ea139b75bb2574a78babd533f94aa2228"},"schema_version":"1.0","source":{"id":"2207.01691","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.01691","created_at":"2026-07-05T04:37:42Z"},{"alias_kind":"arxiv_version","alias_value":"2207.01691v1","created_at":"2026-07-05T04:37:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.01691","created_at":"2026-07-05T04:37:42Z"},{"alias_kind":"pith_short_12","alias_value":"J4ZEOWK24YYC","created_at":"2026-07-05T04:37:42Z"},{"alias_kind":"pith_short_16","alias_value":"J4ZEOWK24YYC4U5F","created_at":"2026-07-05T04:37:42Z"},{"alias_kind":"pith_short_8","alias_value":"J4ZEOWK2","created_at":"2026-07-05T04:37:42Z"}],"graph_snapshots":[{"event_id":"sha256:12507a522a8e6cb00cddd30a4b62e6daa9509b92fb92113e60704e2b22dd85cc","target":"graph","created_at":"2026-07-05T04:37:42Z","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/2207.01691/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Voice Activity Detection (VAD) is an important pre-processing step in a wide variety of speech processing systems. VAD should in a practical application be able to detect speech in both noisy and noise-free environments, while not introducing significant latency. In this work we propose using an adversarial multi-task learning method when training a supervised VAD. The method has been applied to the state-of-the-art VAD Waveform-based Voice Activity Detection. Additionally the performance of the VADis investigated under different algorithmic delays, which is an important factor in latency. Int","authors_text":"Claus Meyer Larsen, Peter Koch, Zheng-Hua Tan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-07-04T19:43:09Z","title":"Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.01691","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":"sha256:6f67b835056122473d8258a575bae7ef389806f6bd6cdeefa6993c02fec94f16","target":"record","created_at":"2026-07-05T04:37:42Z","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":"3f2b155b69b0957782288a29d914124cb01c48a6dbd7e9ab1b35807260856e8d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-07-04T19:43:09Z","title_canon_sha256":"a94fe563a478ace9eb783c127f33b89ea139b75bb2574a78babd533f94aa2228"},"schema_version":"1.0","source":{"id":"2207.01691","kind":"arxiv","version":1}},"canonical_sha256":"4f3247595ae6302e53a571acaedec03253b664070fb7b0974079750edcd6e150","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f3247595ae6302e53a571acaedec03253b664070fb7b0974079750edcd6e150","first_computed_at":"2026-07-05T04:37:42.962240Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:37:42.962240Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hjKxwN6dBR8sm7szdQ/o3vHFVcN45+jejJ4o2BNXaj3vHBR1GrcsYLfxuIMiEI4H2DXXg6+OL7dnpBMeO7HdDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:37:42.962673Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.01691","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f67b835056122473d8258a575bae7ef389806f6bd6cdeefa6993c02fec94f16","sha256:12507a522a8e6cb00cddd30a4b62e6daa9509b92fb92113e60704e2b22dd85cc"],"state_sha256":"fa877a2b1b28d3fb5ad8f7fcdf2a8e4f5350006ba5f118b4866f41942ef61adb"}