{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:4KCUAYBFLJ72UTSOLNXNIUZEIK","short_pith_number":"pith:4KCUAYBF","canonical_record":{"source":{"id":"1906.08415","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-06-20T02:25:45Z","cross_cats_sorted":["cs.LG","cs.MM","eess.AS"],"title_canon_sha256":"5e76291d9c97737128d71a1f3f4f48dba77408cc6014df7433dd68d472279a06","abstract_canon_sha256":"42da42d5b2d51cf45b1f866014d29c6e074dad7ed947b38eafe316d3bd47bd07"},"schema_version":"1.0"},"canonical_sha256":"e2854060255a7faa4e4e5b6ed45324428f28716a35ac7dda805026499ec7935e","source":{"kind":"arxiv","id":"1906.08415","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08415","created_at":"2026-05-17T23:42:52Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08415v1","created_at":"2026-05-17T23:42:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08415","created_at":"2026-05-17T23:42:52Z"},{"alias_kind":"pith_short_12","alias_value":"4KCUAYBFLJ72","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4KCUAYBFLJ72UTSO","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4KCUAYBF","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:4KCUAYBFLJ72UTSOLNXNIUZEIK","target":"record","payload":{"canonical_record":{"source":{"id":"1906.08415","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-06-20T02:25:45Z","cross_cats_sorted":["cs.LG","cs.MM","eess.AS"],"title_canon_sha256":"5e76291d9c97737128d71a1f3f4f48dba77408cc6014df7433dd68d472279a06","abstract_canon_sha256":"42da42d5b2d51cf45b1f866014d29c6e074dad7ed947b38eafe316d3bd47bd07"},"schema_version":"1.0"},"canonical_sha256":"e2854060255a7faa4e4e5b6ed45324428f28716a35ac7dda805026499ec7935e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:52.529731Z","signature_b64":"CtIx/g4a+jLprebW7jIWrmVp6dmawSTmYtDCeRiiO6kLIc71romKFG9Cx78GuT2QruH2VAy5lFp0I7Fj93StDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e2854060255a7faa4e4e5b6ed45324428f28716a35ac7dda805026499ec7935e","last_reissued_at":"2026-05-17T23:42:52.529328Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:52.529328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.08415","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:42:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PuD6P5bKq9SAnMBX2B2mpEWGvxOG8GV4kZTip58ySkJkIOS/RV/WroLV22gk8PaHrIyENZIwv81bm/NOKjfnAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T02:26:11.522736Z"},"content_sha256":"27faa51411be53c02c9cb757594e41aac2c68d94fc560ddd4ce42adb50896977","schema_version":"1.0","event_id":"sha256:27faa51411be53c02c9cb757594e41aac2c68d94fc560ddd4ce42adb50896977"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:4KCUAYBFLJ72UTSOLNXNIUZEIK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Hui Zhang, Xueliang Zhang, Yue Gu, Zhihao Du","submitted_at":"2019-06-20T02:25:45Z","abstract_excerpt":"Robustness against noise is critical for keyword spotting (KWS) in real-world environments. To improve the robustness, a speech enhancement front-end is involved. Instead of treating the speech enhancement as a separated preprocessing before the KWS system, in this study, a pre-trained speech enhancement front-end and a convolutional neural networks (CNNs) based KWS system are concatenated, where a feature transformation block is used to transform the output from the enhancement front-end into the KWS system's input. The whole model is trained jointly, thus the linguistic and other useful info"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08415","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:42:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"94yAF4yH4b3IYecru9K3jw3uUpVBcq5HqW3oxrM2yT27oJ9BK4UV+2ujvIFLkv0IrH41dkLgrWMs+QRoie0AAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T02:26:11.523363Z"},"content_sha256":"a4e2fe7dcf28e4fbd072839003dbab624558faef488e1840ad462871320ead21","schema_version":"1.0","event_id":"sha256:a4e2fe7dcf28e4fbd072839003dbab624558faef488e1840ad462871320ead21"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4KCUAYBFLJ72UTSOLNXNIUZEIK/bundle.json","state_url":"https://pith.science/pith/4KCUAYBFLJ72UTSOLNXNIUZEIK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4KCUAYBFLJ72UTSOLNXNIUZEIK/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":"2026-05-25T02:26:11Z","links":{"resolver":"https://pith.science/pith/4KCUAYBFLJ72UTSOLNXNIUZEIK","bundle":"https://pith.science/pith/4KCUAYBFLJ72UTSOLNXNIUZEIK/bundle.json","state":"https://pith.science/pith/4KCUAYBFLJ72UTSOLNXNIUZEIK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4KCUAYBFLJ72UTSOLNXNIUZEIK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4KCUAYBFLJ72UTSOLNXNIUZEIK","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":"42da42d5b2d51cf45b1f866014d29c6e074dad7ed947b38eafe316d3bd47bd07","cross_cats_sorted":["cs.LG","cs.MM","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-06-20T02:25:45Z","title_canon_sha256":"5e76291d9c97737128d71a1f3f4f48dba77408cc6014df7433dd68d472279a06"},"schema_version":"1.0","source":{"id":"1906.08415","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08415","created_at":"2026-05-17T23:42:52Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08415v1","created_at":"2026-05-17T23:42:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08415","created_at":"2026-05-17T23:42:52Z"},{"alias_kind":"pith_short_12","alias_value":"4KCUAYBFLJ72","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4KCUAYBFLJ72UTSO","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4KCUAYBF","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:a4e2fe7dcf28e4fbd072839003dbab624558faef488e1840ad462871320ead21","target":"graph","created_at":"2026-05-17T23:42:52Z","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":"Robustness against noise is critical for keyword spotting (KWS) in real-world environments. To improve the robustness, a speech enhancement front-end is involved. Instead of treating the speech enhancement as a separated preprocessing before the KWS system, in this study, a pre-trained speech enhancement front-end and a convolutional neural networks (CNNs) based KWS system are concatenated, where a feature transformation block is used to transform the output from the enhancement front-end into the KWS system's input. The whole model is trained jointly, thus the linguistic and other useful info","authors_text":"Hui Zhang, Xueliang Zhang, Yue Gu, Zhihao Du","cross_cats":["cs.LG","cs.MM","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-06-20T02:25:45Z","title":"A Monaural Speech Enhancement Method for Robust Small-Footprint Keyword Spotting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08415","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":"sha256:27faa51411be53c02c9cb757594e41aac2c68d94fc560ddd4ce42adb50896977","target":"record","created_at":"2026-05-17T23:42:52Z","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":"42da42d5b2d51cf45b1f866014d29c6e074dad7ed947b38eafe316d3bd47bd07","cross_cats_sorted":["cs.LG","cs.MM","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-06-20T02:25:45Z","title_canon_sha256":"5e76291d9c97737128d71a1f3f4f48dba77408cc6014df7433dd68d472279a06"},"schema_version":"1.0","source":{"id":"1906.08415","kind":"arxiv","version":1}},"canonical_sha256":"e2854060255a7faa4e4e5b6ed45324428f28716a35ac7dda805026499ec7935e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2854060255a7faa4e4e5b6ed45324428f28716a35ac7dda805026499ec7935e","first_computed_at":"2026-05-17T23:42:52.529328Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:52.529328Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CtIx/g4a+jLprebW7jIWrmVp6dmawSTmYtDCeRiiO6kLIc71romKFG9Cx78GuT2QruH2VAy5lFp0I7Fj93StDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:52.529731Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.08415","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27faa51411be53c02c9cb757594e41aac2c68d94fc560ddd4ce42adb50896977","sha256:a4e2fe7dcf28e4fbd072839003dbab624558faef488e1840ad462871320ead21"],"state_sha256":"f2f84992c941d285c6ec79426c1d590cecacc306f03aa41def27ecf2b70b884e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XSnMvyHUtD/GMK+A+S1BY5/6KwuvDJ5a0WauignO8EncIKNT4f7njCI9PuKWAKD1uqMbJWvazkrihOvfhgaUDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T02:26:11.526419Z","bundle_sha256":"cb8d2060b1dde29ef731722b0691c0cf108b236e97a5cf15247b98ababf710fe"}}