{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2B4BUJKSRJKS3YUAEOJV22MM5T","short_pith_number":"pith:2B4BUJKS","canonical_record":{"source":{"id":"2407.14800","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-07-20T08:13:58Z","cross_cats_sorted":["cs.SD","eess.SP"],"title_canon_sha256":"983c81ac7b42f2d05dab835d719e27bb3fbae274806ebd6e9f1c4ac89da3459b","abstract_canon_sha256":"7bee293b43783087392a506cd1953bedb1e47f4c5d2d759cd1f3777c98a5241e"},"schema_version":"1.0"},"canonical_sha256":"d0781a25528a552de28023935d698cecde492cc6968c595324118979abc90261","source":{"kind":"arxiv","id":"2407.14800","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14800","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14800v1","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14800","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"pith_short_12","alias_value":"2B4BUJKSRJKS","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"pith_short_16","alias_value":"2B4BUJKSRJKS3YUA","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"pith_short_8","alias_value":"2B4BUJKS","created_at":"2026-07-05T08:46:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2B4BUJKSRJKS3YUAEOJV22MM5T","target":"record","payload":{"canonical_record":{"source":{"id":"2407.14800","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-07-20T08:13:58Z","cross_cats_sorted":["cs.SD","eess.SP"],"title_canon_sha256":"983c81ac7b42f2d05dab835d719e27bb3fbae274806ebd6e9f1c4ac89da3459b","abstract_canon_sha256":"7bee293b43783087392a506cd1953bedb1e47f4c5d2d759cd1f3777c98a5241e"},"schema_version":"1.0"},"canonical_sha256":"d0781a25528a552de28023935d698cecde492cc6968c595324118979abc90261","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:46:33.908444Z","signature_b64":"tpm7DOS2n75gv4uxzxKxnQXkLAV6civBRDvsY57tLaQXJo+FgYCD0tC5eiR4UPftgDIqRNNhZXl4oV1emXEvCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0781a25528a552de28023935d698cecde492cc6968c595324118979abc90261","last_reissued_at":"2026-07-05T08:46:33.908033Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:46:33.908033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.14800","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":"2026-07-05T08:46:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"68F7X9oRwll2OnBhvWzURr0IFayc1unN1X/BL0ldst5JWu+kQnNxfpA+fTqY/OwCMVEKkmbpTbFXBQMv/UKWDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:02:35.731805Z"},"content_sha256":"4f40e5f3857678d75113adef5805b8f7044b5b85b7bb207495e83588d9ef1aef","schema_version":"1.0","event_id":"sha256:4f40e5f3857678d75113adef5805b8f7044b5b85b7bb207495e83588d9ef1aef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2B4BUJKSRJKS3YUAEOJV22MM5T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SD","eess.SP"],"primary_cat":"eess.AS","authors_text":"Cheng Lu, Shiyan Wang, Tianhua Qi, Wenming Zheng, Yan Zhao, Yuan Zong","submitted_at":"2024-07-20T08:13:58Z","abstract_excerpt":"Realistic emotional voice conversion (EVC) aims to enhance emotional diversity of converted audios, making the synthesized voices more authentic and natural. To this end, we propose Emotional Intensity-aware Network (EINet), dynamically adjusting intonation and rhythm by incorporating controllable emotional intensity. To better capture nuances in emotional intensity, we go beyond mere distance measurements among acoustic features. Instead, an emotion evaluator is utilized to precisely quantify speaker's emotional state. By employing an intensity mapper, intensity pseudo-labels are obtained to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14800","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/2407.14800/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":"2026-07-05T08:46:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r3GvGvHf+Nys+cV+VnLXbuea0b3scoaapH2/H7p7NvSg2ySFoF+YhWF5hzi5EQtUfa8HfxF89EiyO4deqyGYAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:02:35.732207Z"},"content_sha256":"2bb188e5a083fb35a0c063543f0823167120fafda3e4b40263e5b0afaa7104f8","schema_version":"1.0","event_id":"sha256:2bb188e5a083fb35a0c063543f0823167120fafda3e4b40263e5b0afaa7104f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2B4BUJKSRJKS3YUAEOJV22MM5T/bundle.json","state_url":"https://pith.science/pith/2B4BUJKSRJKS3YUAEOJV22MM5T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2B4BUJKSRJKS3YUAEOJV22MM5T/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":"2026-08-17T14:02:35Z","links":{"resolver":"https://pith.science/pith/2B4BUJKSRJKS3YUAEOJV22MM5T","bundle":"https://pith.science/pith/2B4BUJKSRJKS3YUAEOJV22MM5T/bundle.json","state":"https://pith.science/pith/2B4BUJKSRJKS3YUAEOJV22MM5T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2B4BUJKSRJKS3YUAEOJV22MM5T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2B4BUJKSRJKS3YUAEOJV22MM5T","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":"7bee293b43783087392a506cd1953bedb1e47f4c5d2d759cd1f3777c98a5241e","cross_cats_sorted":["cs.SD","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-07-20T08:13:58Z","title_canon_sha256":"983c81ac7b42f2d05dab835d719e27bb3fbae274806ebd6e9f1c4ac89da3459b"},"schema_version":"1.0","source":{"id":"2407.14800","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14800","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14800v1","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14800","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"pith_short_12","alias_value":"2B4BUJKSRJKS","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"pith_short_16","alias_value":"2B4BUJKSRJKS3YUA","created_at":"2026-07-05T08:46:33Z"},{"alias_kind":"pith_short_8","alias_value":"2B4BUJKS","created_at":"2026-07-05T08:46:33Z"}],"graph_snapshots":[{"event_id":"sha256:2bb188e5a083fb35a0c063543f0823167120fafda3e4b40263e5b0afaa7104f8","target":"graph","created_at":"2026-07-05T08:46:33Z","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/2407.14800/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Realistic emotional voice conversion (EVC) aims to enhance emotional diversity of converted audios, making the synthesized voices more authentic and natural. To this end, we propose Emotional Intensity-aware Network (EINet), dynamically adjusting intonation and rhythm by incorporating controllable emotional intensity. To better capture nuances in emotional intensity, we go beyond mere distance measurements among acoustic features. Instead, an emotion evaluator is utilized to precisely quantify speaker's emotional state. By employing an intensity mapper, intensity pseudo-labels are obtained to ","authors_text":"Cheng Lu, Shiyan Wang, Tianhua Qi, Wenming Zheng, Yan Zhao, Yuan Zong","cross_cats":["cs.SD","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-07-20T08:13:58Z","title":"Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14800","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":"sha256:4f40e5f3857678d75113adef5805b8f7044b5b85b7bb207495e83588d9ef1aef","target":"record","created_at":"2026-07-05T08:46:33Z","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":"7bee293b43783087392a506cd1953bedb1e47f4c5d2d759cd1f3777c98a5241e","cross_cats_sorted":["cs.SD","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-07-20T08:13:58Z","title_canon_sha256":"983c81ac7b42f2d05dab835d719e27bb3fbae274806ebd6e9f1c4ac89da3459b"},"schema_version":"1.0","source":{"id":"2407.14800","kind":"arxiv","version":1}},"canonical_sha256":"d0781a25528a552de28023935d698cecde492cc6968c595324118979abc90261","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0781a25528a552de28023935d698cecde492cc6968c595324118979abc90261","first_computed_at":"2026-07-05T08:46:33.908033Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:33.908033Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tpm7DOS2n75gv4uxzxKxnQXkLAV6civBRDvsY57tLaQXJo+FgYCD0tC5eiR4UPftgDIqRNNhZXl4oV1emXEvCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:33.908444Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.14800","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f40e5f3857678d75113adef5805b8f7044b5b85b7bb207495e83588d9ef1aef","sha256:2bb188e5a083fb35a0c063543f0823167120fafda3e4b40263e5b0afaa7104f8"],"state_sha256":"e2fe1b8581c37d1251424d111cb27354950780fd0f7e930f91dca8c5ec975553"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rsYuahAMe0K27kgtWfN8gbIwK4heaQj/6mjwDfo6wTmukaDPVJGJTi5L4k04Jjl9s/jsfdxJRpB9kJMJ2LRyCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T14:02:35.734724Z","bundle_sha256":"87ab978b42e16e8e42a05ecbf7ac81fb95a3640c0855f59d61ecaf628c87e812"}}