{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:OFIEODV336QCENNSSHOL7NAVV7","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":"7661da6fe72c8e1ba999386ec5e7260bbee1008fb5a75240511dc30a053497ff","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-07-01T17:34:16Z","title_canon_sha256":"8e0cabf9030a2507abe038f99d1ecae801ad23f226f24a812f3a3c6b126029ae"},"schema_version":"1.0","source":{"id":"1607.00325","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1607.00325","created_at":"2026-05-17T23:59:03Z"},{"alias_kind":"arxiv_version","alias_value":"1607.00325v2","created_at":"2026-05-17T23:59:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.00325","created_at":"2026-05-17T23:59:03Z"},{"alias_kind":"pith_short_12","alias_value":"OFIEODV336QC","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"OFIEODV336QCENNS","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"OFIEODV3","created_at":"2026-05-18T12:30:36Z"}],"graph_snapshots":[{"event_id":"sha256:8f2f8f8ff66b13cf8e78c173ffcedc67722aa12288031d6af223a8f0cd500638","target":"graph","created_at":"2026-05-17T23:59:03Z","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 novel deep learning model, which supports permutation invariant training (PIT), for speaker independent multi-talker speech separation, commonly known as the cocktail-party problem. Different from most of the prior arts that treat speech separation as a multi-class regression problem and the deep clustering technique that considers it a segmentation (or clustering) problem, our model optimizes for the separation regression error, ignoring the order of mixing sources. This strategy cleverly solves the long-lasting label permutation problem that has prevented progress on deep learni","authors_text":"Dong Yu, Jesper Jensen, Morten Kolb{\\ae}k, Zheng-Hua Tan","cross_cats":["cs.LG","cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-07-01T17:34:16Z","title":"Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.00325","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":"sha256:031177f1a322b87c18fcbee80c093b92df958299b04ce5608ab95fd8903c02b2","target":"record","created_at":"2026-05-17T23:59:03Z","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":"7661da6fe72c8e1ba999386ec5e7260bbee1008fb5a75240511dc30a053497ff","cross_cats_sorted":["cs.LG","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-07-01T17:34:16Z","title_canon_sha256":"8e0cabf9030a2507abe038f99d1ecae801ad23f226f24a812f3a3c6b126029ae"},"schema_version":"1.0","source":{"id":"1607.00325","kind":"arxiv","version":2}},"canonical_sha256":"7150470ebbdfa02235b291dcbfb415afc779ad61d5a818ebafc7380a174ad1da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7150470ebbdfa02235b291dcbfb415afc779ad61d5a818ebafc7380a174ad1da","first_computed_at":"2026-05-17T23:59:03.918835Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:03.918835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EnQA55CNnWKI4fMGUQ9vBP9Y/ZIg0VmqkwAPGvyLF3vuvTP05yVKmD6HA1A2ry4dnpwKN6ANc1nuYJH81FG3Aw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:03.919343Z","signed_message":"canonical_sha256_bytes"},"source_id":"1607.00325","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:031177f1a322b87c18fcbee80c093b92df958299b04ce5608ab95fd8903c02b2","sha256:8f2f8f8ff66b13cf8e78c173ffcedc67722aa12288031d6af223a8f0cd500638"],"state_sha256":"7dd28906576e66a74a27cb4590bc4fe91dda1ccd5b544d661e869059c3fcd7b2"}