{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZNQO2XLDP25KZ2ATHV4LIFGK4R","short_pith_number":"pith:ZNQO2XLD","canonical_record":{"source":{"id":"2506.02742","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-03T10:59:22Z","cross_cats_sorted":["cs.AI","cs.SD","eess.SP"],"title_canon_sha256":"013d598d2d8d069afcc9a9a0b0e0238030d2ae8b71bf2fe05e3159c058133c9b","abstract_canon_sha256":"5b8cf9828f34c525b5c7ec9187650e1d16e698fbad58865a394f82b8b12d7a9d"},"schema_version":"1.0"},"canonical_sha256":"cb60ed5d637ebaace8133d78b414cae478f00e434250522b8ec54c6a970a722c","source":{"kind":"arxiv","id":"2506.02742","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02742","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02742v1","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02742","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_12","alias_value":"ZNQO2XLDP25K","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZNQO2XLDP25KZ2AT","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZNQO2XLD","created_at":"2026-07-05T11:15:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZNQO2XLDP25KZ2ATHV4LIFGK4R","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02742","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-03T10:59:22Z","cross_cats_sorted":["cs.AI","cs.SD","eess.SP"],"title_canon_sha256":"013d598d2d8d069afcc9a9a0b0e0238030d2ae8b71bf2fe05e3159c058133c9b","abstract_canon_sha256":"5b8cf9828f34c525b5c7ec9187650e1d16e698fbad58865a394f82b8b12d7a9d"},"schema_version":"1.0"},"canonical_sha256":"cb60ed5d637ebaace8133d78b414cae478f00e434250522b8ec54c6a970a722c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:07.511382Z","signature_b64":"p2qxCzPLmJpS6/KUZ3WHlqSRPKtHoFAUGgLFcDZOmd0HpNKmfPWR+5o1MCGxtd+7ktcCv7z6D8M7W/BfANdTBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb60ed5d637ebaace8133d78b414cae478f00e434250522b8ec54c6a970a722c","last_reissued_at":"2026-07-05T11:15:07.510733Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:07.510733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02742","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":"2026-07-05T11:15:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NjxhyHUnfM1F+qZdz8dVqa7oVQ9l2I/5f9/s2cFVLRWu5c17wCZ9dtR3hSCcW1e72w9OE5sLvmWQ6W+YH0yHAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:13:20.171094Z"},"content_sha256":"29ac31209f41556a5341a9bb42ac0eb9e31017f6919144da49a94332eeb332c2","schema_version":"1.0","event_id":"sha256:29ac31209f41556a5341a9bb42ac0eb9e31017f6919144da49a94332eeb332c2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZNQO2XLDP25KZ2ATHV4LIFGK4R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Prompt-Unseen-Emotion: Zero-shot Expressive Speech Synthesis with Prompt-LLM Contextual Knowledge for Mixed Emotions","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.SD","eess.SP"],"primary_cat":"eess.AS","authors_text":"Huayun Zhang, Nancy F. Chen, Xiaoxue Gao","submitted_at":"2025-06-03T10:59:22Z","abstract_excerpt":"Existing expressive text-to-speech (TTS) systems primarily model a limited set of categorical emotions, whereas human conversations extend far beyond these predefined emotions, making it essential to explore more diverse emotional speech generation for more natural interactions. To bridge this gap, this paper proposes a novel prompt-unseen-emotion (PUE) approach to generate unseen emotional speech via emotion-guided prompt learning. PUE is trained utilizing an LLM-TTS architecture to ensure emotional consistency between categorical emotion-relevant prompts and emotional speech, allowing the mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02742","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/2506.02742/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":"2026-07-05T11:15:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SFiBxlfOxVqLDKsa3qdWB9jNVObyc0TXndulIexaIrO0zEfvRUdNzafkOVzqxd3IhgTN8N0Mquz53BDygn2YBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T21:13:20.172102Z"},"content_sha256":"2731a0c5e71640531c7d1685029f36d9dc59fbe90df02630ef9583b94bbd1d4e","schema_version":"1.0","event_id":"sha256:2731a0c5e71640531c7d1685029f36d9dc59fbe90df02630ef9583b94bbd1d4e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZNQO2XLDP25KZ2ATHV4LIFGK4R/bundle.json","state_url":"https://pith.science/pith/ZNQO2XLDP25KZ2ATHV4LIFGK4R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZNQO2XLDP25KZ2ATHV4LIFGK4R/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":"2026-08-07T21:13:20Z","links":{"resolver":"https://pith.science/pith/ZNQO2XLDP25KZ2ATHV4LIFGK4R","bundle":"https://pith.science/pith/ZNQO2XLDP25KZ2ATHV4LIFGK4R/bundle.json","state":"https://pith.science/pith/ZNQO2XLDP25KZ2ATHV4LIFGK4R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZNQO2XLDP25KZ2ATHV4LIFGK4R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZNQO2XLDP25KZ2ATHV4LIFGK4R","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":"5b8cf9828f34c525b5c7ec9187650e1d16e698fbad58865a394f82b8b12d7a9d","cross_cats_sorted":["cs.AI","cs.SD","eess.SP"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-03T10:59:22Z","title_canon_sha256":"013d598d2d8d069afcc9a9a0b0e0238030d2ae8b71bf2fe05e3159c058133c9b"},"schema_version":"1.0","source":{"id":"2506.02742","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02742","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02742v1","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02742","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_12","alias_value":"ZNQO2XLDP25K","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZNQO2XLDP25KZ2AT","created_at":"2026-07-05T11:15:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZNQO2XLD","created_at":"2026-07-05T11:15:07Z"}],"graph_snapshots":[{"event_id":"sha256:2731a0c5e71640531c7d1685029f36d9dc59fbe90df02630ef9583b94bbd1d4e","target":"graph","created_at":"2026-07-05T11:15:07Z","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/2506.02742/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing expressive text-to-speech (TTS) systems primarily model a limited set of categorical emotions, whereas human conversations extend far beyond these predefined emotions, making it essential to explore more diverse emotional speech generation for more natural interactions. To bridge this gap, this paper proposes a novel prompt-unseen-emotion (PUE) approach to generate unseen emotional speech via emotion-guided prompt learning. PUE is trained utilizing an LLM-TTS architecture to ensure emotional consistency between categorical emotion-relevant prompts and emotional speech, allowing the mo","authors_text":"Huayun Zhang, Nancy F. Chen, Xiaoxue Gao","cross_cats":["cs.AI","cs.SD","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-03T10:59:22Z","title":"Prompt-Unseen-Emotion: Zero-shot Expressive Speech Synthesis with Prompt-LLM Contextual Knowledge for Mixed Emotions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02742","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":"sha256:29ac31209f41556a5341a9bb42ac0eb9e31017f6919144da49a94332eeb332c2","target":"record","created_at":"2026-07-05T11:15:07Z","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":"5b8cf9828f34c525b5c7ec9187650e1d16e698fbad58865a394f82b8b12d7a9d","cross_cats_sorted":["cs.AI","cs.SD","eess.SP"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-06-03T10:59:22Z","title_canon_sha256":"013d598d2d8d069afcc9a9a0b0e0238030d2ae8b71bf2fe05e3159c058133c9b"},"schema_version":"1.0","source":{"id":"2506.02742","kind":"arxiv","version":1}},"canonical_sha256":"cb60ed5d637ebaace8133d78b414cae478f00e434250522b8ec54c6a970a722c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb60ed5d637ebaace8133d78b414cae478f00e434250522b8ec54c6a970a722c","first_computed_at":"2026-07-05T11:15:07.510733Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:07.510733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p2qxCzPLmJpS6/KUZ3WHlqSRPKtHoFAUGgLFcDZOmd0HpNKmfPWR+5o1MCGxtd+7ktcCv7z6D8M7W/BfANdTBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:07.511382Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02742","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29ac31209f41556a5341a9bb42ac0eb9e31017f6919144da49a94332eeb332c2","sha256:2731a0c5e71640531c7d1685029f36d9dc59fbe90df02630ef9583b94bbd1d4e"],"state_sha256":"f17e73b3239fdbacc8d39fef34ec5193e8260049275d3b2a43c36c87ee7c22ca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PUCCUk1C0mW+ujNq1XjgxNoyRyfgZf6MgLqBzgTo8gahoDJ/R8+KwD/XcLioetKvnGriDlzgMnamI8usFKOxCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T21:13:20.184401Z","bundle_sha256":"8ce3304a31d3d3a40f6974925e308012aac2b68d86d5a927b6acbb160f48b3a1"}}