{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:U7GGVGLJQFPW6QN55ZVPCA4VY6","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":"e98150c1fc0e889ce5f04f09f7aff1fe21fad44f34cc7cd0245cb01ad62f8bd4","cross_cats_sorted":["cs.CL","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-11-21T18:04:47Z","title_canon_sha256":"942856e5a33c4e039c75d890b5e5234fe6b1176677234defe3efdf2101f2cddf"},"schema_version":"1.0","source":{"id":"1911.09645","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1911.09645","created_at":"2026-07-05T01:03:07Z"},{"alias_kind":"arxiv_version","alias_value":"1911.09645v2","created_at":"2026-07-05T01:03:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.09645","created_at":"2026-07-05T01:03:07Z"},{"alias_kind":"pith_short_12","alias_value":"U7GGVGLJQFPW","created_at":"2026-07-05T01:03:07Z"},{"alias_kind":"pith_short_16","alias_value":"U7GGVGLJQFPW6QN5","created_at":"2026-07-05T01:03:07Z"},{"alias_kind":"pith_short_8","alias_value":"U7GGVGLJ","created_at":"2026-07-05T01:03:07Z"}],"graph_snapshots":[{"event_id":"sha256:3d1f776bf1d6aa4a528abbf90e3d4825a1a514a7a6882e5c7652c8be01674ebc","target":"graph","created_at":"2026-07-05T01:03:07Z","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/1911.09645/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a simple yet effective method to achieve prosody transfer from a reference speech signal to synthesized speech. The main idea is to incorporate well-known acoustic correlates of prosody such as pitch and loudness contours of the reference speech into a modern neural text-to-speech (TTS) synthesizer such as Tacotron2 (TC2). More specifically, a small set of acoustic features are extracted from reference audio and then used to condition a TC2 synthesizer. The trained model is evaluated using subjective listening tests and a novel objective evaluation of prosody transfer is pr","authors_text":"Dhaval Shah, Jervis Pinto, Kilol Gupta, Siddharth Gururani, Zahra Shakeri","cross_cats":["cs.CL","cs.LG","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-11-21T18:04:47Z","title":"Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.09645","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":"sha256:77aa0026fa00c69411f678e3193cfee7a3f1ab94d7f9426865d158f93e277992","target":"record","created_at":"2026-07-05T01:03:07Z","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":"e98150c1fc0e889ce5f04f09f7aff1fe21fad44f34cc7cd0245cb01ad62f8bd4","cross_cats_sorted":["cs.CL","cs.LG","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2019-11-21T18:04:47Z","title_canon_sha256":"942856e5a33c4e039c75d890b5e5234fe6b1176677234defe3efdf2101f2cddf"},"schema_version":"1.0","source":{"id":"1911.09645","kind":"arxiv","version":2}},"canonical_sha256":"a7cc6a9969815f6f41bdee6af10395c7900e823e29d65fabe767ccd2d8800b1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7cc6a9969815f6f41bdee6af10395c7900e823e29d65fabe767ccd2d8800b1b","first_computed_at":"2026-07-05T01:03:07.452283Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:03:07.452283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mpmIzKNWDgsg6mSyEzX4vOj/pPqpS65+hPYv5fZAZqlzmrJbp4BEyNvwwUSRjwqkVW9byNNNWSH9hlZF6MgfCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:03:07.452737Z","signed_message":"canonical_sha256_bytes"},"source_id":"1911.09645","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77aa0026fa00c69411f678e3193cfee7a3f1ab94d7f9426865d158f93e277992","sha256:3d1f776bf1d6aa4a528abbf90e3d4825a1a514a7a6882e5c7652c8be01674ebc"],"state_sha256":"aa1bab3c3431ec725cd817301941531d103b1ba59067402ab47f82d919ae3a5d"}