{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:DA5THYY5LEPAB5R73RZXYWKJQ4","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":"892bce8661265c329bc7b091a00e0e6a131d26d0bc69ac070b291df71bf371c6","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-03-29T17:57:53Z","title_canon_sha256":"c0079e2e7b9507d9e9216f8793da03975608dffc0eac88ffa2e99bbef9e31f6d"},"schema_version":"1.0","source":{"id":"2203.15796","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.15796","created_at":"2026-07-05T04:48:46Z"},{"alias_kind":"arxiv_version","alias_value":"2203.15796v2","created_at":"2026-07-05T04:48:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.15796","created_at":"2026-07-05T04:48:46Z"},{"alias_kind":"pith_short_12","alias_value":"DA5THYY5LEPA","created_at":"2026-07-05T04:48:46Z"},{"alias_kind":"pith_short_16","alias_value":"DA5THYY5LEPAB5R7","created_at":"2026-07-05T04:48:46Z"},{"alias_kind":"pith_short_8","alias_value":"DA5THYY5","created_at":"2026-07-05T04:48:46Z"}],"graph_snapshots":[{"event_id":"sha256:995b6a46703c2c563cbce0850065f0a855182ee9654fad22ff003af3df833db0","target":"graph","created_at":"2026-07-05T04:48:46Z","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/2203.15796/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"An unsupervised text-to-speech synthesis (TTS) system learns to generate speech waveforms corresponding to any written sentence in a language by observing: 1) a collection of untranscribed speech waveforms in that language; 2) a collection of texts written in that language without access to any transcribed speech. Developing such a system can significantly improve the availability of speech technology to languages without a large amount of parallel speech and text data. This paper proposes an unsupervised TTS system based on an alignment module that outputs pseudo-text and another synthesis mo","authors_text":"Heting Gao, Junrui Ni, Kaizhi Qian, Liming Wang, Mark Hasegawa-Johnson, Shiyu Chang, Yang Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-03-29T17:57:53Z","title":"Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.15796","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:f053118cf39c139fbf557d1b99ac6ab1b0522a20a2d650194c1def5cdc771857","target":"record","created_at":"2026-07-05T04:48:46Z","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":"892bce8661265c329bc7b091a00e0e6a131d26d0bc69ac070b291df71bf371c6","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-03-29T17:57:53Z","title_canon_sha256":"c0079e2e7b9507d9e9216f8793da03975608dffc0eac88ffa2e99bbef9e31f6d"},"schema_version":"1.0","source":{"id":"2203.15796","kind":"arxiv","version":2}},"canonical_sha256":"183b33e31d591e00f63fdc737c5949871dd7528f00ce84eb19f2557842f8dfc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"183b33e31d591e00f63fdc737c5949871dd7528f00ce84eb19f2557842f8dfc9","first_computed_at":"2026-07-05T04:48:46.058606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:48:46.058606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EzlThJwUlp+yIgCtgyYnWJvfmKOO/2tzBceSpgNDce0B0GJ8fIPA3d0tPDEM+83CfWlceFqM/VwMCNGdysDFAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:48:46.059093Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.15796","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f053118cf39c139fbf557d1b99ac6ab1b0522a20a2d650194c1def5cdc771857","sha256:995b6a46703c2c563cbce0850065f0a855182ee9654fad22ff003af3df833db0"],"state_sha256":"8862fdac31c7d178243b0710009ff4b94914f590cd2455df974b5baa2d8ba5cb"}