{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:2FSTIKL2XEU3S2UJDBQW7LNTWV","short_pith_number":"pith:2FSTIKL2","canonical_record":{"source":{"id":"2111.11606","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-11-23T02:08:01Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"bf26461893931404230281200647b1ca7114abf7b0e92d496d6f8326f7f28ace","abstract_canon_sha256":"2374df0fa9f22f74acb91d9c6d961c8ce9883eeb80e01ab2e40712df992618dc"},"schema_version":"1.0"},"canonical_sha256":"d16534297ab929b96a8918616fadb3b55026368f072b964947acdbec6ba33d97","source":{"kind":"arxiv","id":"2111.11606","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.11606","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"arxiv_version","alias_value":"2111.11606v1","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.11606","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"pith_short_12","alias_value":"2FSTIKL2XEU3","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"pith_short_16","alias_value":"2FSTIKL2XEU3S2UJ","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"pith_short_8","alias_value":"2FSTIKL2","created_at":"2026-07-05T03:34:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:2FSTIKL2XEU3S2UJDBQW7LNTWV","target":"record","payload":{"canonical_record":{"source":{"id":"2111.11606","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-11-23T02:08:01Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"bf26461893931404230281200647b1ca7114abf7b0e92d496d6f8326f7f28ace","abstract_canon_sha256":"2374df0fa9f22f74acb91d9c6d961c8ce9883eeb80e01ab2e40712df992618dc"},"schema_version":"1.0"},"canonical_sha256":"d16534297ab929b96a8918616fadb3b55026368f072b964947acdbec6ba33d97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:34:10.763445Z","signature_b64":"lkl0ehpqZ+1PU2ox09cExighnvaMOwg9ic2GmOTpJD02r6EJ+c1HS0D8Zs5MVz+uxT9XggqkYwKUnoWMxA/dAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d16534297ab929b96a8918616fadb3b55026368f072b964947acdbec6ba33d97","last_reissued_at":"2026-07-05T03:34:10.762978Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:34:10.762978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.11606","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":"2026-07-05T03:34:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bBUnh8mdUPvAeYTnwjg6ayB6fSsqmL5igDW5tn0eadIcJ73G9Gefph64kqulYYAlBeR1+s/b7owV3XiW/CbfAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T08:32:51.925976Z"},"content_sha256":"64e1c71a696791a71b5ae5f3660d012fc65f3ab065ad6feed786d8bdbdd65642","schema_version":"1.0","event_id":"sha256:64e1c71a696791a71b5ae5f3660d012fc65f3ab065ad6feed786d8bdbdd65642"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:2FSTIKL2XEU3S2UJDBQW7LNTWV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Effect of noise suppression losses on speech distortion and ASR performance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Hannes Gamper, Sebastian Braun","submitted_at":"2021-11-23T02:08:01Z","abstract_excerpt":"Deep learning based speech enhancement has made rapid development towards improving quality, while models are becoming more compact and usable for real-time on-the-edge inference. However, the speech quality scales directly with the model size, and small models are often still unable to achieve sufficient quality. Furthermore, the introduced speech distortion and artifacts greatly harm speech quality and intelligibility, and often significantly degrade automatic speech recognition (ASR) rates. In this work, we shed light on the success of the spectral complex compressed mean squared error (MSE"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.11606","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2111.11606/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T03:34:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uwpp5ta8dpz3Fg9rW7n9BfobiwT1gawlhMLFMSlR4H6eWfYNIbI9r11IbjAmSDDeDWiqMNqIkXOX46eY2SfSAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T08:32:51.926482Z"},"content_sha256":"5e2073c40646ee797907e59fdaf223e2580ec6f05b8ab416cc1ac46acd3ef0d6","schema_version":"1.0","event_id":"sha256:5e2073c40646ee797907e59fdaf223e2580ec6f05b8ab416cc1ac46acd3ef0d6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2FSTIKL2XEU3S2UJDBQW7LNTWV/bundle.json","state_url":"https://pith.science/pith/2FSTIKL2XEU3S2UJDBQW7LNTWV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2FSTIKL2XEU3S2UJDBQW7LNTWV/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":"2026-08-18T08:32:51Z","links":{"resolver":"https://pith.science/pith/2FSTIKL2XEU3S2UJDBQW7LNTWV","bundle":"https://pith.science/pith/2FSTIKL2XEU3S2UJDBQW7LNTWV/bundle.json","state":"https://pith.science/pith/2FSTIKL2XEU3S2UJDBQW7LNTWV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2FSTIKL2XEU3S2UJDBQW7LNTWV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:2FSTIKL2XEU3S2UJDBQW7LNTWV","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":"2374df0fa9f22f74acb91d9c6d961c8ce9883eeb80e01ab2e40712df992618dc","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-11-23T02:08:01Z","title_canon_sha256":"bf26461893931404230281200647b1ca7114abf7b0e92d496d6f8326f7f28ace"},"schema_version":"1.0","source":{"id":"2111.11606","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.11606","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"arxiv_version","alias_value":"2111.11606v1","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.11606","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"pith_short_12","alias_value":"2FSTIKL2XEU3","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"pith_short_16","alias_value":"2FSTIKL2XEU3S2UJ","created_at":"2026-07-05T03:34:10Z"},{"alias_kind":"pith_short_8","alias_value":"2FSTIKL2","created_at":"2026-07-05T03:34:10Z"}],"graph_snapshots":[{"event_id":"sha256:5e2073c40646ee797907e59fdaf223e2580ec6f05b8ab416cc1ac46acd3ef0d6","target":"graph","created_at":"2026-07-05T03:34:10Z","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/2111.11606/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning based speech enhancement has made rapid development towards improving quality, while models are becoming more compact and usable for real-time on-the-edge inference. However, the speech quality scales directly with the model size, and small models are often still unable to achieve sufficient quality. Furthermore, the introduced speech distortion and artifacts greatly harm speech quality and intelligibility, and often significantly degrade automatic speech recognition (ASR) rates. In this work, we shed light on the success of the spectral complex compressed mean squared error (MSE","authors_text":"Hannes Gamper, Sebastian Braun","cross_cats":["cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-11-23T02:08:01Z","title":"Effect of noise suppression losses on speech distortion and ASR performance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.11606","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":"sha256:64e1c71a696791a71b5ae5f3660d012fc65f3ab065ad6feed786d8bdbdd65642","target":"record","created_at":"2026-07-05T03:34:10Z","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":"2374df0fa9f22f74acb91d9c6d961c8ce9883eeb80e01ab2e40712df992618dc","cross_cats_sorted":["cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2021-11-23T02:08:01Z","title_canon_sha256":"bf26461893931404230281200647b1ca7114abf7b0e92d496d6f8326f7f28ace"},"schema_version":"1.0","source":{"id":"2111.11606","kind":"arxiv","version":1}},"canonical_sha256":"d16534297ab929b96a8918616fadb3b55026368f072b964947acdbec6ba33d97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d16534297ab929b96a8918616fadb3b55026368f072b964947acdbec6ba33d97","first_computed_at":"2026-07-05T03:34:10.762978Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:34:10.762978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lkl0ehpqZ+1PU2ox09cExighnvaMOwg9ic2GmOTpJD02r6EJ+c1HS0D8Zs5MVz+uxT9XggqkYwKUnoWMxA/dAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:34:10.763445Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.11606","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64e1c71a696791a71b5ae5f3660d012fc65f3ab065ad6feed786d8bdbdd65642","sha256:5e2073c40646ee797907e59fdaf223e2580ec6f05b8ab416cc1ac46acd3ef0d6"],"state_sha256":"c6c13103e1b02757a357e4297c285618b46ae430e12d78539517448158584b5a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b7atfGjKtDzjoXXOmHpalbjoxh9QiTpoExtVq49gnJnf7EVYUGIkP9ce/kCX/MBx9VDxQD+2r2rYexWAc6tDCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T08:32:51.931245Z","bundle_sha256":"1bc7e9c44e87299e88a03b836fbf29c64936323123b436cf17d188297113baf4"}}