{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:RFLNYZDJZ7XJQTO3XVXTY56G7R","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":"558b0359c312121a35d26da7df979ea6fdc0895f59afe2acf5702faefae744d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-03T13:52:47Z","title_canon_sha256":"0cf299f53df705ec824a76250b91014dac10d667d12f0474b5f20da6ab4ce928"},"schema_version":"1.0","source":{"id":"2104.01408","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.01408","created_at":"2026-07-05T02:49:00Z"},{"alias_kind":"arxiv_version","alias_value":"2104.01408v2","created_at":"2026-07-05T02:49:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.01408","created_at":"2026-07-05T02:49:00Z"},{"alias_kind":"pith_short_12","alias_value":"RFLNYZDJZ7XJ","created_at":"2026-07-05T02:49:00Z"},{"alias_kind":"pith_short_16","alias_value":"RFLNYZDJZ7XJQTO3","created_at":"2026-07-05T02:49:00Z"},{"alias_kind":"pith_short_8","alias_value":"RFLNYZDJ","created_at":"2026-07-05T02:49:00Z"}],"graph_snapshots":[{"event_id":"sha256:ac5067b34c5186a559e199dbd1223d60054341fce35585b70dae57ad2b2c5c05","target":"graph","created_at":"2026-07-05T02:49:00Z","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/2104.01408/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Emotional text-to-speech synthesis (ETTS) has seen much progress in recent years. However, the generated voice is often not perceptually identifiable by its intended emotion category. To address this problem, we propose a new interactive training paradigm for ETTS, denoted as i-ETTS, which seeks to directly improve the emotion discriminability by interacting with a speech emotion recognition (SER) model. Moreover, we formulate an iterative training strategy with reinforcement learning to ensure the quality of i-ETTS optimization. Experimental results demonstrate that the proposed i-ETTS outper","authors_text":"Berrak Sisman, Haizhou Li, Rui Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-03T13:52:47Z","title":"Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.01408","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":"sha256:07a5da99bd73ee174c82694bc32d3774560a751a45fa2fd0a73573d046c73845","target":"record","created_at":"2026-07-05T02:49:00Z","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":"558b0359c312121a35d26da7df979ea6fdc0895f59afe2acf5702faefae744d9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-04-03T13:52:47Z","title_canon_sha256":"0cf299f53df705ec824a76250b91014dac10d667d12f0474b5f20da6ab4ce928"},"schema_version":"1.0","source":{"id":"2104.01408","kind":"arxiv","version":2}},"canonical_sha256":"8956dc6469cfee984ddbbd6f3c77c6fc4ee385ca00fd72b6732457235efd4140","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8956dc6469cfee984ddbbd6f3c77c6fc4ee385ca00fd72b6732457235efd4140","first_computed_at":"2026-07-05T02:49:00.594243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:49:00.594243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fGKYbJ/m57W0Uo6rxNhB541gwNO0EO/LfirF8m8vDjZjsiw8DK2KaeAopZX0K0RiFtJGOC0Mwqsw0B31omfnBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:49:00.594725Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.01408","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07a5da99bd73ee174c82694bc32d3774560a751a45fa2fd0a73573d046c73845","sha256:ac5067b34c5186a559e199dbd1223d60054341fce35585b70dae57ad2b2c5c05"],"state_sha256":"847044a4914b8ad7d15b6db6aa8df3aad17193db792a0d45214993a0a8433e46"}