{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:JFNCGBBKGW6PUPV4HCZEQORIIU","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":"a36b7463debb9a8ef2fd1f12ed23a61784910cfc2929918eb25061c473c92b0f","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-05T19:45:29Z","title_canon_sha256":"214afa373588e8e32619cb0284130ecb6456fd32acfae442bf0045f414452fd8"},"schema_version":"1.0","source":{"id":"2206.02246","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02246","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02246v2","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02246","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_12","alias_value":"JFNCGBBKGW6P","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_16","alias_value":"JFNCGBBKGW6PUPV4","created_at":"2026-07-05T04:34:04Z"},{"alias_kind":"pith_short_8","alias_value":"JFNCGBBK","created_at":"2026-07-05T04:34:04Z"}],"graph_snapshots":[{"event_id":"sha256:f36844756bcc12c983c3687143f3a2582074e4ac6937921ef6f3d542fbdc73bd","target":"graph","created_at":"2026-07-05T04:34:04Z","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/2206.02246/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel way of conditioning a pretrained denoising diffusion speech model to produce speech in the voice of a novel person unseen during training. The method requires a short (~3 seconds) sample from the target person, and generation is steered at inference time, without any training steps. At the heart of the method lies a sampling process that combines the estimation of the denoising model with a low-pass version of the new speaker's sample. The objective and subjective evaluations show that our sampling method can generate a voice similar to that of the target speaker in terms of","authors_text":"Alon Levkovitch, Eliya Nachmani, Lior Wolf","cross_cats":["cs.AI","cs.LG","eess.AS","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-05T19:45:29Z","title":"Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02246","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":"sha256:5a7a895e47f01c15dba32c71afe67f431b978be88c6965d83bfa80359239138a","target":"record","created_at":"2026-07-05T04:34:04Z","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":"a36b7463debb9a8ef2fd1f12ed23a61784910cfc2929918eb25061c473c92b0f","cross_cats_sorted":["cs.AI","cs.LG","eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-05T19:45:29Z","title_canon_sha256":"214afa373588e8e32619cb0284130ecb6456fd32acfae442bf0045f414452fd8"},"schema_version":"1.0","source":{"id":"2206.02246","kind":"arxiv","version":2}},"canonical_sha256":"495a23042a35bcfa3ebc38b2483a28450fc1b9addd30d14fa94e91e25ef20ef9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"495a23042a35bcfa3ebc38b2483a28450fc1b9addd30d14fa94e91e25ef20ef9","first_computed_at":"2026-07-05T04:34:04.701544Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:34:04.701544Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ufiMwStzcayiSX1XEZo+QWgoTMbGX6JtT1nwNOvkauTWesqSdonS8t/SzI36s/qfvtslXu1shqeKx0WwKZZhBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:34:04.702020Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.02246","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a7a895e47f01c15dba32c71afe67f431b978be88c6965d83bfa80359239138a","sha256:f36844756bcc12c983c3687143f3a2582074e4ac6937921ef6f3d542fbdc73bd"],"state_sha256":"6e7d527081b25725be10cdf1d180ef27a12ae05e42bf77e568a19f43172811c5"}