{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WGRUQA4C2CP2RDTUFGL4DBRZUT","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":"65c13a251fcfb1330d822a49068797dc372d3fadcbfce379b5dcb2606b236ca2","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2018-03-23T23:46:34Z","title_canon_sha256":"c9d3b7074bcff5df82d3d57f6b930106e712dc33a582c0fe71c9e0348e5233d8"},"schema_version":"1.0","source":{"id":"1803.09016","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.09016","created_at":"2026-05-18T00:19:16Z"},{"alias_kind":"arxiv_version","alias_value":"1803.09016v2","created_at":"2026-05-18T00:19:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.09016","created_at":"2026-05-18T00:19:16Z"},{"alias_kind":"pith_short_12","alias_value":"WGRUQA4C2CP2","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"WGRUQA4C2CP2RDTU","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"WGRUQA4C","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:8446c9e818f84dca20982636d484ace47aca95bdc761ae8f90a768220cb0b4b2","target":"graph","created_at":"2026-05-18T00:19:16Z","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":"Reverberation and additive noise have detrimental effects on the performance of automatic speech recognition systems. In this paper we explore the ability of a DNN-based spectral feature mapping to remove the effects of reverberation and additive noise. Experiments with the CHiME-2 database show that this DNN can achieve an average reduction in WER of 4.5%, when compared to the baseline system, at SNRs equal to -6 dB, -3 dB, 0 dB and 3 dB, and just 0.8% at greater SNRs of 6 dB and 9 dB. These results suggest that this DNN is more effective in removing additive noise than reverberation. To impr","authors_text":"Fernando Huenup\\'an, Jorge Wuth, Jos\\'e Novoa, Juan Pablo Escudero, N\\'estor Becerra Yoma, Richard Stern, Rodrigo Mahu","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2018-03-23T23:46:34Z","title":"An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.09016","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:c6d63a65d35589c894746dab3cbeb38b7a9acd5b5de7aa4d1687eced3eed07b9","target":"record","created_at":"2026-05-18T00:19:16Z","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":"65c13a251fcfb1330d822a49068797dc372d3fadcbfce379b5dcb2606b236ca2","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2018-03-23T23:46:34Z","title_canon_sha256":"c9d3b7074bcff5df82d3d57f6b930106e712dc33a582c0fe71c9e0348e5233d8"},"schema_version":"1.0","source":{"id":"1803.09016","kind":"arxiv","version":2}},"canonical_sha256":"b1a3480382d09fa88e742997c18639a4d799c3ee5a3900f1b867ef0da8a36ebc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1a3480382d09fa88e742997c18639a4d799c3ee5a3900f1b867ef0da8a36ebc","first_computed_at":"2026-05-18T00:19:16.264678Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:16.264678Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ixIP5E0HHg6gHziPytR2aYtR18DnAyzNDI4VLVdAq42DmCchA9zo0CB1K0JD4djT8GswJItaLxIIhrkCoGDBBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:16.265282Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.09016","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6d63a65d35589c894746dab3cbeb38b7a9acd5b5de7aa4d1687eced3eed07b9","sha256:8446c9e818f84dca20982636d484ace47aca95bdc761ae8f90a768220cb0b4b2"],"state_sha256":"1c22a0eb9a094f9c8dc3b050f9fa65c2557b7bf155673b94ff42c59d6738929f"}