{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:PUEQLNZEAJFKOTMD6CPMHEKVL2","short_pith_number":"pith:PUEQLNZE","canonical_record":{"source":{"id":"1510.00268","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2015-10-01T14:57:08Z","cross_cats_sorted":[],"title_canon_sha256":"01c4140b6b17c115da09fe1c04a2d1ece996684824321514e19b34fc97f3d999","abstract_canon_sha256":"4cd9a917fa3964bd4921e084db012c90e88292fb13d3f9d71491424cc57c3df4"},"schema_version":"1.0"},"canonical_sha256":"7d0905b724024aa74d83f09ec391555ebd18f34080d6bc36af5916bfd5649bea","source":{"kind":"arxiv","id":"1510.00268","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.00268","created_at":"2026-05-18T01:31:20Z"},{"alias_kind":"arxiv_version","alias_value":"1510.00268v1","created_at":"2026-05-18T01:31:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.00268","created_at":"2026-05-18T01:31:20Z"},{"alias_kind":"pith_short_12","alias_value":"PUEQLNZEAJFK","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"PUEQLNZEAJFKOTMD","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"PUEQLNZE","created_at":"2026-05-18T12:29:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:PUEQLNZEAJFKOTMD6CPMHEKVL2","target":"record","payload":{"canonical_record":{"source":{"id":"1510.00268","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2015-10-01T14:57:08Z","cross_cats_sorted":[],"title_canon_sha256":"01c4140b6b17c115da09fe1c04a2d1ece996684824321514e19b34fc97f3d999","abstract_canon_sha256":"4cd9a917fa3964bd4921e084db012c90e88292fb13d3f9d71491424cc57c3df4"},"schema_version":"1.0"},"canonical_sha256":"7d0905b724024aa74d83f09ec391555ebd18f34080d6bc36af5916bfd5649bea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:31:20.257605Z","signature_b64":"gLjrNBd7nMdole3OWCDq492HVILAMv803JitN8YE63LksqybjbOzuTesHD5FddJSv9ChtbWLfdQe9a5bGkiACQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d0905b724024aa74d83f09ec391555ebd18f34080d6bc36af5916bfd5649bea","last_reissued_at":"2026-05-18T01:31:20.256924Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:31:20.256924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1510.00268","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":"2026-05-18T01:31:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LLbvfrM0d7zwkaEY/GE1GWeZMm8ilP1HbiNF3zMycdSM7f+L9tHA6vWcx2aFMUHutdt1zd+wZEgo28iRPbxGBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T02:31:21.570475Z"},"content_sha256":"3ece91ceed7b5000c58bfd997100a56dfed001e2efacb17cfa69f0c8f74131c1","schema_version":"1.0","event_id":"sha256:3ece91ceed7b5000c58bfd997100a56dfed001e2efacb17cfa69f0c8f74131c1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:PUEQLNZEAJFKOTMD6CPMHEKVL2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The ICSTM+TUM+UP Approach to the 3rd CHIME Challenge: Single-Channel LSTM Speech Enhancement with Multi-Channel Correlation Shaping Dereverberation and LSTM Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Amr El-Desoky Mousa, Bj\\\"orn Schuller, Erik Marchi","submitted_at":"2015-10-01T14:57:08Z","abstract_excerpt":"This paper presents our contribution to the 3rd CHiME Speech Separation and Recognition Challenge. Our system uses Bidirectional Long Short-Term Memory (BLSTM) Recurrent Neural Networks (RNNs) for Single-channel Speech Enhancement (SSE). Networks are trained to predict clean speech as well as noise features from noisy speech features. In addition, the system applies two methods of dereverberation on the 6-channel recordings of the challenge. The first is the Phase-Error based Filtering (PEF) that uses time-varying phase-error filters based on estimated time-difference of arrival of the speech "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.00268","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":"2026-05-18T01:31:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WysAd5+DxOO/q/kgCHCt6Im1oidySmKOUPFWriX6b9BvW0lABoTGqAJVBm3kX0fWvca9K9Zon22dG6wKyQhCCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T02:31:21.570823Z"},"content_sha256":"7f0480f3a5b7385a940050af8feda059de01ea29cfc7a6a0b9fba75ce4db7630","schema_version":"1.0","event_id":"sha256:7f0480f3a5b7385a940050af8feda059de01ea29cfc7a6a0b9fba75ce4db7630"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PUEQLNZEAJFKOTMD6CPMHEKVL2/bundle.json","state_url":"https://pith.science/pith/PUEQLNZEAJFKOTMD6CPMHEKVL2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PUEQLNZEAJFKOTMD6CPMHEKVL2/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":"2026-06-28T02:31:21Z","links":{"resolver":"https://pith.science/pith/PUEQLNZEAJFKOTMD6CPMHEKVL2","bundle":"https://pith.science/pith/PUEQLNZEAJFKOTMD6CPMHEKVL2/bundle.json","state":"https://pith.science/pith/PUEQLNZEAJFKOTMD6CPMHEKVL2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PUEQLNZEAJFKOTMD6CPMHEKVL2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:PUEQLNZEAJFKOTMD6CPMHEKVL2","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":"4cd9a917fa3964bd4921e084db012c90e88292fb13d3f9d71491424cc57c3df4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2015-10-01T14:57:08Z","title_canon_sha256":"01c4140b6b17c115da09fe1c04a2d1ece996684824321514e19b34fc97f3d999"},"schema_version":"1.0","source":{"id":"1510.00268","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1510.00268","created_at":"2026-05-18T01:31:20Z"},{"alias_kind":"arxiv_version","alias_value":"1510.00268v1","created_at":"2026-05-18T01:31:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1510.00268","created_at":"2026-05-18T01:31:20Z"},{"alias_kind":"pith_short_12","alias_value":"PUEQLNZEAJFK","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_16","alias_value":"PUEQLNZEAJFKOTMD","created_at":"2026-05-18T12:29:37Z"},{"alias_kind":"pith_short_8","alias_value":"PUEQLNZE","created_at":"2026-05-18T12:29:37Z"}],"graph_snapshots":[{"event_id":"sha256:7f0480f3a5b7385a940050af8feda059de01ea29cfc7a6a0b9fba75ce4db7630","target":"graph","created_at":"2026-05-18T01:31:20Z","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":"This paper presents our contribution to the 3rd CHiME Speech Separation and Recognition Challenge. Our system uses Bidirectional Long Short-Term Memory (BLSTM) Recurrent Neural Networks (RNNs) for Single-channel Speech Enhancement (SSE). Networks are trained to predict clean speech as well as noise features from noisy speech features. In addition, the system applies two methods of dereverberation on the 6-channel recordings of the challenge. The first is the Phase-Error based Filtering (PEF) that uses time-varying phase-error filters based on estimated time-difference of arrival of the speech ","authors_text":"Amr El-Desoky Mousa, Bj\\\"orn Schuller, Erik Marchi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2015-10-01T14:57:08Z","title":"The ICSTM+TUM+UP Approach to the 3rd CHIME Challenge: Single-Channel LSTM Speech Enhancement with Multi-Channel Correlation Shaping Dereverberation and LSTM Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1510.00268","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":"sha256:3ece91ceed7b5000c58bfd997100a56dfed001e2efacb17cfa69f0c8f74131c1","target":"record","created_at":"2026-05-18T01:31:20Z","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":"4cd9a917fa3964bd4921e084db012c90e88292fb13d3f9d71491424cc57c3df4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2015-10-01T14:57:08Z","title_canon_sha256":"01c4140b6b17c115da09fe1c04a2d1ece996684824321514e19b34fc97f3d999"},"schema_version":"1.0","source":{"id":"1510.00268","kind":"arxiv","version":1}},"canonical_sha256":"7d0905b724024aa74d83f09ec391555ebd18f34080d6bc36af5916bfd5649bea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d0905b724024aa74d83f09ec391555ebd18f34080d6bc36af5916bfd5649bea","first_computed_at":"2026-05-18T01:31:20.256924Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:31:20.256924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gLjrNBd7nMdole3OWCDq492HVILAMv803JitN8YE63LksqybjbOzuTesHD5FddJSv9ChtbWLfdQe9a5bGkiACQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:31:20.257605Z","signed_message":"canonical_sha256_bytes"},"source_id":"1510.00268","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3ece91ceed7b5000c58bfd997100a56dfed001e2efacb17cfa69f0c8f74131c1","sha256:7f0480f3a5b7385a940050af8feda059de01ea29cfc7a6a0b9fba75ce4db7630"],"state_sha256":"b4dad4d41ffd93aef43d28885a6785b6190b82c707de180aac53c9f7cbc420a1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i6oOfNjzNMxuJ6WKOLyvIawsF5YKoJ7QUM3VQJP0/ffQaUGoedvgceFcCfY7J3KSMiL0SkaMeLF9smhxBD7SCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T02:31:21.572782Z","bundle_sha256":"6376f98da6b824c851f41a2ac0996db28f800b0188a27120ab74ec00cb1f11a4"}}