{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:E7HWBJZNFFJQAAW2BF6RQRLOAI","short_pith_number":"pith:E7HWBJZN","schema_version":"1.0","canonical_sha256":"27cf60a72d29530002da097d18456e022f295263da9dc94c3689f5199f1de150","source":{"kind":"arxiv","id":"1907.02526","version":1},"attestation_state":"computed","paper":{"title":"Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"John H.L. Hansen, Nursadul Mamun, Soheil Khorram","submitted_at":"2019-07-03T21:25:21Z","abstract_excerpt":"Attempts to develop speech enhancement algorithms with improved speech intelligibility for cochlear implant (CI) users have met with limited success. To improve speech enhancement methods for CI users, we propose to perform speech enhancement in a cochlear filter-bank feature space, a feature-set specifically designed for CI users based on CI auditory stimuli. We leverage a convolutional neural network (CNN) to extract both stationary and non-stationary components of environmental acoustics and speech. We propose three CNN architectures: (1) vanilla CNN that directly generates the enhanced sig"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1907.02526","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2019-07-03T21:25:21Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"4b3a14398018b41eb8234f11ea186a0845af22cf05a93523aa1e798c18994276","abstract_canon_sha256":"c11d84dbf5a819d4e4fbee72ce0d443d9d55c141c079d2c4b5acd636a6cffa9c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:24.119852Z","signature_b64":"U9UroWldpfDeSp/UOMgVjhaqTjU06Ja7XPZYsekrrn+oCEGp9wSJJ7oquR1NRoGTaoTtUeLjtt08U33FH3iJBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27cf60a72d29530002da097d18456e022f295263da9dc94c3689f5199f1de150","last_reissued_at":"2026-05-17T23:41:24.119145Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:24.119145Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"John H.L. Hansen, Nursadul Mamun, Soheil Khorram","submitted_at":"2019-07-03T21:25:21Z","abstract_excerpt":"Attempts to develop speech enhancement algorithms with improved speech intelligibility for cochlear implant (CI) users have met with limited success. To improve speech enhancement methods for CI users, we propose to perform speech enhancement in a cochlear filter-bank feature space, a feature-set specifically designed for CI users based on CI auditory stimuli. We leverage a convolutional neural network (CNN) to extract both stationary and non-stationary components of environmental acoustics and speech. We propose three CNN architectures: (1) vanilla CNN that directly generates the enhanced sig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.02526","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1907.02526","created_at":"2026-05-17T23:41:24.119237+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.02526v1","created_at":"2026-05-17T23:41:24.119237+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.02526","created_at":"2026-05-17T23:41:24.119237+00:00"},{"alias_kind":"pith_short_12","alias_value":"E7HWBJZNFFJQ","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"E7HWBJZNFFJQAAW2","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"E7HWBJZN","created_at":"2026-05-18T12:33:15.570797+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"1907.02526","citing_title":"Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients","ref_index":1,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI","json":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI.json","graph_json":"https://pith.science/api/pith-number/E7HWBJZNFFJQAAW2BF6RQRLOAI/graph.json","events_json":"https://pith.science/api/pith-number/E7HWBJZNFFJQAAW2BF6RQRLOAI/events.json","paper":"https://pith.science/paper/E7HWBJZN"},"agent_actions":{"view_html":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI","download_json":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI.json","view_paper":"https://pith.science/paper/E7HWBJZN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.02526&json=true","fetch_graph":"https://pith.science/api/pith-number/E7HWBJZNFFJQAAW2BF6RQRLOAI/graph.json","fetch_events":"https://pith.science/api/pith-number/E7HWBJZNFFJQAAW2BF6RQRLOAI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI/action/storage_attestation","attest_author":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI/action/author_attestation","sign_citation":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI/action/citation_signature","submit_replication":"https://pith.science/pith/E7HWBJZNFFJQAAW2BF6RQRLOAI/action/replication_record"}},"created_at":"2026-05-17T23:41:24.119237+00:00","updated_at":"2026-05-17T23:41:24.119237+00:00"}