{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:3SHVLXLRNSLEEIRTKCCAU4GDHU","short_pith_number":"pith:3SHVLXLR","canonical_record":{"source":{"id":"1911.01806","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-30T08:54:34Z","cross_cats_sorted":["cs.LG","cs.MM","cs.SD"],"title_canon_sha256":"0beb8b7ae606fb946186bbaa7e1eb0ca3bdf27d7c97bce70a050929959d03ed4","abstract_canon_sha256":"f586a1c1116148d166e2da489599f17955365f0c01349c490978cd254fb3b0be"},"schema_version":"1.0"},"canonical_sha256":"dc8f55dd716c9642223350840a70c33d015d4fba4fa6e49fc7e6774ae0ffb8c5","source":{"kind":"arxiv","id":"1911.01806","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.01806","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"arxiv_version","alias_value":"1911.01806v1","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.01806","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"pith_short_12","alias_value":"3SHVLXLRNSLE","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"pith_short_16","alias_value":"3SHVLXLRNSLEEIRT","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"pith_short_8","alias_value":"3SHVLXLR","created_at":"2026-07-05T00:17:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:3SHVLXLRNSLEEIRTKCCAU4GDHU","target":"record","payload":{"canonical_record":{"source":{"id":"1911.01806","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-30T08:54:34Z","cross_cats_sorted":["cs.LG","cs.MM","cs.SD"],"title_canon_sha256":"0beb8b7ae606fb946186bbaa7e1eb0ca3bdf27d7c97bce70a050929959d03ed4","abstract_canon_sha256":"f586a1c1116148d166e2da489599f17955365f0c01349c490978cd254fb3b0be"},"schema_version":"1.0"},"canonical_sha256":"dc8f55dd716c9642223350840a70c33d015d4fba4fa6e49fc7e6774ae0ffb8c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:17:21.810957Z","signature_b64":"4uDG+5qwVq+thPemLdG1wlJrdDSvzdWbXbZP8QzoKwQjOG+ldOpwvw0oieUlf5hnjJwJivmG5KftSM9c2FQ0Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc8f55dd716c9642223350840a70c33d015d4fba4fa6e49fc7e6774ae0ffb8c5","last_reissued_at":"2026-07-05T00:17:21.810562Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:17:21.810562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1911.01806","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":"2026-07-05T00:17:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pyip8YwKJwKifM7GgECYDXgaGr/WBRkk9iTZgBrPHDKxiWIwWywXcpt9rM3cgUK/2EjY2ybSqxVAAgR+pgrnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-22T10:06:38.726707Z"},"content_sha256":"5e1edc6255f79b554d2e4107c80ce32b39713724a653e2780d76d1cc7d1d8c9f","schema_version":"1.0","event_id":"sha256:5e1edc6255f79b554d2e4107c80ce32b39713724a653e2780d76d1cc7d1d8c9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:3SHVLXLRNSLEEIRTKCCAU4GDHU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mixture factorized auto-encoder for unsupervised hierarchical deep factorization of speech signal","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MM","cs.SD"],"primary_cat":"eess.AS","authors_text":"Siyuan Feng, Tan Lee, Zhiyuan Peng","submitted_at":"2019-10-30T08:54:34Z","abstract_excerpt":"Speech signal is constituted and contributed by various informative factors, such as linguistic content and speaker characteristic. There have been notable recent studies attempting to factorize speech signal into these individual factors without requiring any annotation. These studies typically assume continuous representation for linguistic content, which is not in accordance with general linguistic knowledge and may make the extraction of speaker information less successful. This paper proposes the mixture factorized auto-encoder (mFAE) for unsupervised deep factorization. The encoder part "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.01806","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1911.01806/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T00:17:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7R1YzkAknXvrt91zcpeM2K9sOun2oFUJ5oucOtjEa2qaImYbFpgaLg6gCa/aJwYUJsDWbBM9dCbOpH6cFq0YAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-22T10:06:38.727078Z"},"content_sha256":"147bd61aafd127af776dbd6a67ed6193bcfe8515fe00dd47c54d73676a15ae46","schema_version":"1.0","event_id":"sha256:147bd61aafd127af776dbd6a67ed6193bcfe8515fe00dd47c54d73676a15ae46"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3SHVLXLRNSLEEIRTKCCAU4GDHU/bundle.json","state_url":"https://pith.science/pith/3SHVLXLRNSLEEIRTKCCAU4GDHU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3SHVLXLRNSLEEIRTKCCAU4GDHU/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":"2026-07-22T10:06:38Z","links":{"resolver":"https://pith.science/pith/3SHVLXLRNSLEEIRTKCCAU4GDHU","bundle":"https://pith.science/pith/3SHVLXLRNSLEEIRTKCCAU4GDHU/bundle.json","state":"https://pith.science/pith/3SHVLXLRNSLEEIRTKCCAU4GDHU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3SHVLXLRNSLEEIRTKCCAU4GDHU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3SHVLXLRNSLEEIRTKCCAU4GDHU","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":"f586a1c1116148d166e2da489599f17955365f0c01349c490978cd254fb3b0be","cross_cats_sorted":["cs.LG","cs.MM","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-30T08:54:34Z","title_canon_sha256":"0beb8b7ae606fb946186bbaa7e1eb0ca3bdf27d7c97bce70a050929959d03ed4"},"schema_version":"1.0","source":{"id":"1911.01806","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.01806","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"arxiv_version","alias_value":"1911.01806v1","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.01806","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"pith_short_12","alias_value":"3SHVLXLRNSLE","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"pith_short_16","alias_value":"3SHVLXLRNSLEEIRT","created_at":"2026-07-05T00:17:21Z"},{"alias_kind":"pith_short_8","alias_value":"3SHVLXLR","created_at":"2026-07-05T00:17:21Z"}],"graph_snapshots":[{"event_id":"sha256:147bd61aafd127af776dbd6a67ed6193bcfe8515fe00dd47c54d73676a15ae46","target":"graph","created_at":"2026-07-05T00:17:21Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1911.01806/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Speech signal is constituted and contributed by various informative factors, such as linguistic content and speaker characteristic. There have been notable recent studies attempting to factorize speech signal into these individual factors without requiring any annotation. These studies typically assume continuous representation for linguistic content, which is not in accordance with general linguistic knowledge and may make the extraction of speaker information less successful. This paper proposes the mixture factorized auto-encoder (mFAE) for unsupervised deep factorization. The encoder part ","authors_text":"Siyuan Feng, Tan Lee, Zhiyuan Peng","cross_cats":["cs.LG","cs.MM","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-30T08:54:34Z","title":"Mixture factorized auto-encoder for unsupervised hierarchical deep factorization of speech signal"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.01806","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":"sha256:5e1edc6255f79b554d2e4107c80ce32b39713724a653e2780d76d1cc7d1d8c9f","target":"record","created_at":"2026-07-05T00:17:21Z","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":"f586a1c1116148d166e2da489599f17955365f0c01349c490978cd254fb3b0be","cross_cats_sorted":["cs.LG","cs.MM","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2019-10-30T08:54:34Z","title_canon_sha256":"0beb8b7ae606fb946186bbaa7e1eb0ca3bdf27d7c97bce70a050929959d03ed4"},"schema_version":"1.0","source":{"id":"1911.01806","kind":"arxiv","version":1}},"canonical_sha256":"dc8f55dd716c9642223350840a70c33d015d4fba4fa6e49fc7e6774ae0ffb8c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc8f55dd716c9642223350840a70c33d015d4fba4fa6e49fc7e6774ae0ffb8c5","first_computed_at":"2026-07-05T00:17:21.810562Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:17:21.810562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4uDG+5qwVq+thPemLdG1wlJrdDSvzdWbXbZP8QzoKwQjOG+ldOpwvw0oieUlf5hnjJwJivmG5KftSM9c2FQ0Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:17:21.810957Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.01806","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e1edc6255f79b554d2e4107c80ce32b39713724a653e2780d76d1cc7d1d8c9f","sha256:147bd61aafd127af776dbd6a67ed6193bcfe8515fe00dd47c54d73676a15ae46"],"state_sha256":"f7c44cb26d0410a9c24c3409f5e118c039e0a12088f53e4083148a326b3a1ad3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"33hxPgScs/4gPGQ38Obd4MfugYx2w6DnOYdOXY7c4fukbaGeT9aItriBHWAkaoZTAXpxxUKSa4ZciJ6zLW6MDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-22T10:06:38.729185Z","bundle_sha256":"12a84dcfd3dbaccc96b73a68c12ba5677f0f25327f0bc86e0d95f84fc6529742"}}