{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:WSY4GLS536MJ6AUCA66AY5DCE6","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":"b2ff9b6a1a326ed05a78379cc5a5225044258e2941514b12451ac8c05130f1d8","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-22T08:34:04Z","title_canon_sha256":"1c9066a90870c42f7e2b362daa5fb2b33c97f65d04c75d6000e9af9c97659a04"},"schema_version":"1.0","source":{"id":"1810.09137","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.09137","created_at":"2026-05-18T00:02:40Z"},{"alias_kind":"arxiv_version","alias_value":"1810.09137v1","created_at":"2026-05-18T00:02:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.09137","created_at":"2026-05-18T00:02:40Z"},{"alias_kind":"pith_short_12","alias_value":"WSY4GLS536MJ","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"WSY4GLS536MJ6AUC","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"WSY4GLS5","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:763429802b2bd0a299a4ee694122df452823a43737218c93f89173b0251e7f94","target":"graph","created_at":"2026-05-18T00:02:40Z","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":"We propose a training method for deep neural network (DNN)-based source enhancement to increase objective sound quality assessment (OSQA) scores such as the perceptual evaluation of speech quality (PESQ). In many conventional studies, DNNs have been used as a mapping function to estimate time-frequency masks and trained to minimize an analytically tractable objective function such as the mean squared error (MSE). Since OSQA scores have been used widely for sound-quality evaluation, constructing DNNs to increase OSQA scores would be better than using the minimum-MSE to create high-quality outpu","authors_text":"Kazunori Kobayashi, Kenta Niwa, Yoichi Haneda, Yuma Koizumi, Yusuke Hioka","cross_cats":["cs.LG","cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-22T08:34:04Z","title":"DNN-based Source Enhancement to Increase Objective Sound Quality Assessment Score"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.09137","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:c84d8752ab9fff2eb8656ffd516f4314676acc6e48b28f93fb580ec7ffec4c6b","target":"record","created_at":"2026-05-18T00:02:40Z","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":"b2ff9b6a1a326ed05a78379cc5a5225044258e2941514b12451ac8c05130f1d8","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-22T08:34:04Z","title_canon_sha256":"1c9066a90870c42f7e2b362daa5fb2b33c97f65d04c75d6000e9af9c97659a04"},"schema_version":"1.0","source":{"id":"1810.09137","kind":"arxiv","version":1}},"canonical_sha256":"b4b1c32e5ddf989f028207bc0c7462278b3f098dfce5924b5e86fcdedcd72d03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b4b1c32e5ddf989f028207bc0c7462278b3f098dfce5924b5e86fcdedcd72d03","first_computed_at":"2026-05-18T00:02:40.961180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:40.961180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uJ3oBVpeFVIxXhQh8mnsOkZ6vrtw+Jh4CFwVOF32EnxJqH6kEAKfv/oLPx9dQb/XzRX7GVuB6H59aI9LRitrCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:40.961637Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.09137","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c84d8752ab9fff2eb8656ffd516f4314676acc6e48b28f93fb580ec7ffec4c6b","sha256:763429802b2bd0a299a4ee694122df452823a43737218c93f89173b0251e7f94"],"state_sha256":"4ee83bf9dbc72a5ecc8deef4eef7272650920e26c8f958d1693d6ce54f770f45"}