{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WX4X6CO2Y25EAO7XGG75PSP7JU","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":"4fb93e1f7cfaafbe2bed936bb9d6b11cae06b7224d6980e59091d1c6328b0666","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-08-12T05:40:21Z","title_canon_sha256":"b4e7fa62d7c75df2384deeef11942ec6b83d487309e9df39edc80ec1f51a630a"},"schema_version":"1.0","source":{"id":"2408.05928","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.05928","created_at":"2026-07-05T10:52:37Z"},{"alias_kind":"arxiv_version","alias_value":"2408.05928v2","created_at":"2026-07-05T10:52:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.05928","created_at":"2026-07-05T10:52:37Z"},{"alias_kind":"pith_short_12","alias_value":"WX4X6CO2Y25E","created_at":"2026-07-05T10:52:37Z"},{"alias_kind":"pith_short_16","alias_value":"WX4X6CO2Y25EAO7X","created_at":"2026-07-05T10:52:37Z"},{"alias_kind":"pith_short_8","alias_value":"WX4X6CO2","created_at":"2026-07-05T10:52:37Z"}],"graph_snapshots":[{"event_id":"sha256:7700a8cc06f2e30c524d32c85bb9bc6e1436e78d40458d3aa0fcbd666d5fed5d","target":"graph","created_at":"2026-07-05T10:52:37Z","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/2408.05928/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A general disentanglement-based speaker anonymization system typically separates speech into content, speaker, and prosody features using individual encoders. This paper explores how to adapt such a system when a new speech attribute, for example, emotion, needs to be preserved to a greater extent. While existing systems are good at anonymizing speaker embeddings, they are not designed to preserve emotion. Two strategies for this are examined. First, we show that integrating emotion embeddings from a pre-trained emotion encoder can help preserve emotional cues, even though this approach slight","authors_text":"Donny Cheng Lock Soh, Ian McLoughlin, Natalia Tomashenko, Xiaoxiao Miao, Xin Wang, Yuxiang Zhang","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-08-12T05:40:21Z","title":"Adapting General Disentanglement-Based Speaker Anonymization for Enhanced Emotion Preservation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.05928","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:e22d306e3420822e723bdf4caacb2ada89c0115341d15e935df231e121773222","target":"record","created_at":"2026-07-05T10:52:37Z","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":"4fb93e1f7cfaafbe2bed936bb9d6b11cae06b7224d6980e59091d1c6328b0666","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.SD","submitted_at":"2024-08-12T05:40:21Z","title_canon_sha256":"b4e7fa62d7c75df2384deeef11942ec6b83d487309e9df39edc80ec1f51a630a"},"schema_version":"1.0","source":{"id":"2408.05928","kind":"arxiv","version":2}},"canonical_sha256":"b5f97f09dac6ba403bf731bfd7c9ff4d2dddb426bcd975738cd6bfea9936d655","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b5f97f09dac6ba403bf731bfd7c9ff4d2dddb426bcd975738cd6bfea9936d655","first_computed_at":"2026-07-05T10:52:37.493489Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:52:37.493489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2NbiCIJZeWYpSbx6ukkv/xxzLsf+q9Gz+baLsPwSoG0eF975jQyjapL2zdkxTUTk1v5N8RbAVY5j2TilnUNbDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:52:37.494122Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.05928","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e22d306e3420822e723bdf4caacb2ada89c0115341d15e935df231e121773222","sha256:7700a8cc06f2e30c524d32c85bb9bc6e1436e78d40458d3aa0fcbd666d5fed5d"],"state_sha256":"4b741d0b61e67ac8a48f60a556265bde7a02c7dd692c1c8f7eb26327dfe55e17"}