{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:TBERCX4VJKTYTQJMCM2IVRSAIJ","short_pith_number":"pith:TBERCX4V","canonical_record":{"source":{"id":"1708.07524","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-24T18:51:50Z","cross_cats_sorted":["cs.LG","cs.NE","cs.SD"],"title_canon_sha256":"6018016d5da2049b8b8c672e05e9ae8931f1eeaef86f6675c4f5a6f1989de94a","abstract_canon_sha256":"567df3e2fde497e3642f80f3af2e56d29be318d98e4996785f30b8ba31ff5ef4"},"schema_version":"1.0"},"canonical_sha256":"9849115f954aa789c12c13348ac6404262b3d9868970bb0cfaec43b5851b64e5","source":{"kind":"arxiv","id":"1708.07524","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.07524","created_at":"2026-05-18T00:13:10Z"},{"alias_kind":"arxiv_version","alias_value":"1708.07524v2","created_at":"2026-05-18T00:13:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.07524","created_at":"2026-05-18T00:13:10Z"},{"alias_kind":"pith_short_12","alias_value":"TBERCX4VJKTY","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"TBERCX4VJKTYTQJM","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"TBERCX4V","created_at":"2026-05-18T12:31:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:TBERCX4VJKTYTQJMCM2IVRSAIJ","target":"record","payload":{"canonical_record":{"source":{"id":"1708.07524","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-24T18:51:50Z","cross_cats_sorted":["cs.LG","cs.NE","cs.SD"],"title_canon_sha256":"6018016d5da2049b8b8c672e05e9ae8931f1eeaef86f6675c4f5a6f1989de94a","abstract_canon_sha256":"567df3e2fde497e3642f80f3af2e56d29be318d98e4996785f30b8ba31ff5ef4"},"schema_version":"1.0"},"canonical_sha256":"9849115f954aa789c12c13348ac6404262b3d9868970bb0cfaec43b5851b64e5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:10.994388Z","signature_b64":"uJXVHK3FYMkIQ4IPnVFo8p4ypZMwQhPYGdU2dnZDryvmpekChOkQyOKz8LosETqRwcnKEVL6BCfK9V6VKK3qDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9849115f954aa789c12c13348ac6404262b3d9868970bb0cfaec43b5851b64e5","last_reissued_at":"2026-05-18T00:13:10.993681Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:10.993681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.07524","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:13:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"By03ajcyBnhvrJETvauKLenf/J8D6ExhXLEY2spdZDxJEPZQ5zwAY1JxrGc+WJL71uVD6U+E5kKSVmnm2iRZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T16:56:52.648771Z"},"content_sha256":"a853c48b4bc53c26933f7dc12870f00e37e7b2c43ad5a63ba9b1751888d29899","schema_version":"1.0","event_id":"sha256:a853c48b4bc53c26933f7dc12870f00e37e7b2c43ad5a63ba9b1751888d29899"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:TBERCX4VJKTYTQJMCM2IVRSAIJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Supervised Speech Separation Based on Deep Learning: An Overview","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE","cs.SD"],"primary_cat":"cs.CL","authors_text":"Deliang Wang, Jitong Chen","submitted_at":"2017-08-24T18:51:50Z","abstract_excerpt":"Speech separation is the task of separating target speech from background interference. Traditionally, speech separation is studied as a signal processing problem. A more recent approach formulates speech separation as a supervised learning problem, where the discriminative patterns of speech, speakers, and background noise are learned from training data. Over the past decade, many supervised separation algorithms have been put forward. In particular, the recent introduction of deep learning to supervised speech separation has dramatically accelerated progress and boosted separation performanc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.07524","kind":"arxiv","version":2},"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":"2026-05-18T00:13:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PMs3aZJNUJXaAZTETA32GvPjjrTnVPXZMfzxC9onjK0Imk4ocvTYcOy2pMSvvGjfttjhtzGy23RdOFDEE+OoCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T16:56:52.649124Z"},"content_sha256":"45dcf58fd6812b7d6205f0a87f010e1874b07dc9e454c713e086a98e5d7e645d","schema_version":"1.0","event_id":"sha256:45dcf58fd6812b7d6205f0a87f010e1874b07dc9e454c713e086a98e5d7e645d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TBERCX4VJKTYTQJMCM2IVRSAIJ/bundle.json","state_url":"https://pith.science/pith/TBERCX4VJKTYTQJMCM2IVRSAIJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TBERCX4VJKTYTQJMCM2IVRSAIJ/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":"2026-06-01T16:56:52Z","links":{"resolver":"https://pith.science/pith/TBERCX4VJKTYTQJMCM2IVRSAIJ","bundle":"https://pith.science/pith/TBERCX4VJKTYTQJMCM2IVRSAIJ/bundle.json","state":"https://pith.science/pith/TBERCX4VJKTYTQJMCM2IVRSAIJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TBERCX4VJKTYTQJMCM2IVRSAIJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:TBERCX4VJKTYTQJMCM2IVRSAIJ","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":"567df3e2fde497e3642f80f3af2e56d29be318d98e4996785f30b8ba31ff5ef4","cross_cats_sorted":["cs.LG","cs.NE","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-24T18:51:50Z","title_canon_sha256":"6018016d5da2049b8b8c672e05e9ae8931f1eeaef86f6675c4f5a6f1989de94a"},"schema_version":"1.0","source":{"id":"1708.07524","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.07524","created_at":"2026-05-18T00:13:10Z"},{"alias_kind":"arxiv_version","alias_value":"1708.07524v2","created_at":"2026-05-18T00:13:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.07524","created_at":"2026-05-18T00:13:10Z"},{"alias_kind":"pith_short_12","alias_value":"TBERCX4VJKTY","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"TBERCX4VJKTYTQJM","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"TBERCX4V","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:45dcf58fd6812b7d6205f0a87f010e1874b07dc9e454c713e086a98e5d7e645d","target":"graph","created_at":"2026-05-18T00:13:10Z","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"},"paper":{"abstract_excerpt":"Speech separation is the task of separating target speech from background interference. Traditionally, speech separation is studied as a signal processing problem. A more recent approach formulates speech separation as a supervised learning problem, where the discriminative patterns of speech, speakers, and background noise are learned from training data. Over the past decade, many supervised separation algorithms have been put forward. In particular, the recent introduction of deep learning to supervised speech separation has dramatically accelerated progress and boosted separation performanc","authors_text":"Deliang Wang, Jitong Chen","cross_cats":["cs.LG","cs.NE","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-24T18:51:50Z","title":"Supervised Speech Separation Based on Deep Learning: An Overview"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.07524","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:a853c48b4bc53c26933f7dc12870f00e37e7b2c43ad5a63ba9b1751888d29899","target":"record","created_at":"2026-05-18T00:13:10Z","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":"567df3e2fde497e3642f80f3af2e56d29be318d98e4996785f30b8ba31ff5ef4","cross_cats_sorted":["cs.LG","cs.NE","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-24T18:51:50Z","title_canon_sha256":"6018016d5da2049b8b8c672e05e9ae8931f1eeaef86f6675c4f5a6f1989de94a"},"schema_version":"1.0","source":{"id":"1708.07524","kind":"arxiv","version":2}},"canonical_sha256":"9849115f954aa789c12c13348ac6404262b3d9868970bb0cfaec43b5851b64e5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9849115f954aa789c12c13348ac6404262b3d9868970bb0cfaec43b5851b64e5","first_computed_at":"2026-05-18T00:13:10.993681Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:10.993681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uJXVHK3FYMkIQ4IPnVFo8p4ypZMwQhPYGdU2dnZDryvmpekChOkQyOKz8LosETqRwcnKEVL6BCfK9V6VKK3qDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:10.994388Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.07524","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a853c48b4bc53c26933f7dc12870f00e37e7b2c43ad5a63ba9b1751888d29899","sha256:45dcf58fd6812b7d6205f0a87f010e1874b07dc9e454c713e086a98e5d7e645d"],"state_sha256":"6120103088a9d5034636ae912bc74599feeb4c265b9adacda32e9af03682d50c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RGtiNj/n2R9Tv3QR3c8CBvd3joqVoaMBQBUOxT5iHQTJLpOhhuddcMjSl0J+f83SZRGphQmUMgAQzDWet1RpAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T16:56:52.650940Z","bundle_sha256":"c7c186e8eb45abacf1e5e9df1178b2be1c580ccbac07f8bc6cd29b55dadde857"}}