{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:FNKXKMDEN3MKXUXQW7HCZNPEY3","short_pith_number":"pith:FNKXKMDE","schema_version":"1.0","canonical_sha256":"2b557530646ed8abd2f0b7ce2cb5e4c6dc2c6c046762c4d8441b9eb2d3d113f6","source":{"kind":"arxiv","id":"2207.01063","version":3},"attestation_state":"computed","paper":{"title":"DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"eess.AS","authors_text":"Daeyoung Kim, Keon Lee, Kyumin Park","submitted_at":"2022-07-03T15:07:41Z","abstract_excerpt":"The majority of current Text-to-Speech (TTS) datasets, which are collections of individual utterances, contain few conversational aspects. In this paper, we introduce DailyTalk, a high-quality conversational speech dataset designed for conversational TTS. We sampled, modified, and recorded 2,541 dialogues from the open-domain dialogue dataset DailyDialog inheriting its annotated attributes. On top of our dataset, we extend prior work as our baseline, where a non-autoregressive TTS is conditioned on historical information in a dialogue. From the baseline experiment with both general and our nov"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2207.01063","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2022-07-03T15:07:41Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"28d49f9d82f8cbe10793d2677cfb3378a6cd793ba36bc612192b092f47e3db54","abstract_canon_sha256":"d19a437f5f3e26e69b629f1b375f74f85e2f2b9daeb5e52b0fcaab8c9e133001"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:06.805120Z","signature_b64":"Rpzp3mnqFkPQE4Piy1v45+q22UwEsL2kNKPcgmd0LNBQ+4Gh9Fgas19VriCmneua7R85CDE8GpXvtR0PgtxJCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b557530646ed8abd2f0b7ce2cb5e4c6dc2c6c046762c4d8441b9eb2d3d113f6","last_reissued_at":"2026-07-05T05:50:06.804669Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:06.804669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"eess.AS","authors_text":"Daeyoung Kim, Keon Lee, Kyumin Park","submitted_at":"2022-07-03T15:07:41Z","abstract_excerpt":"The majority of current Text-to-Speech (TTS) datasets, which are collections of individual utterances, contain few conversational aspects. In this paper, we introduce DailyTalk, a high-quality conversational speech dataset designed for conversational TTS. We sampled, modified, and recorded 2,541 dialogues from the open-domain dialogue dataset DailyDialog inheriting its annotated attributes. On top of our dataset, we extend prior work as our baseline, where a non-autoregressive TTS is conditioned on historical information in a dialogue. From the baseline experiment with both general and our nov"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.01063","kind":"arxiv","version":3},"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/2207.01063/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2207.01063","created_at":"2026-07-05T05:50:06.804727+00:00"},{"alias_kind":"arxiv_version","alias_value":"2207.01063v3","created_at":"2026-07-05T05:50:06.804727+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.01063","created_at":"2026-07-05T05:50:06.804727+00:00"},{"alias_kind":"pith_short_12","alias_value":"FNKXKMDEN3MK","created_at":"2026-07-05T05:50:06.804727+00:00"},{"alias_kind":"pith_short_16","alias_value":"FNKXKMDEN3MKXUXQ","created_at":"2026-07-05T05:50:06.804727+00:00"},{"alias_kind":"pith_short_8","alias_value":"FNKXKMDE","created_at":"2026-07-05T05:50:06.804727+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3","json":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3.json","graph_json":"https://pith.science/api/pith-number/FNKXKMDEN3MKXUXQW7HCZNPEY3/graph.json","events_json":"https://pith.science/api/pith-number/FNKXKMDEN3MKXUXQW7HCZNPEY3/events.json","paper":"https://pith.science/paper/FNKXKMDE"},"agent_actions":{"view_html":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3","download_json":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3.json","view_paper":"https://pith.science/paper/FNKXKMDE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2207.01063&json=true","fetch_graph":"https://pith.science/api/pith-number/FNKXKMDEN3MKXUXQW7HCZNPEY3/graph.json","fetch_events":"https://pith.science/api/pith-number/FNKXKMDEN3MKXUXQW7HCZNPEY3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3/action/storage_attestation","attest_author":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3/action/author_attestation","sign_citation":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3/action/citation_signature","submit_replication":"https://pith.science/pith/FNKXKMDEN3MKXUXQW7HCZNPEY3/action/replication_record"}},"created_at":"2026-07-05T05:50:06.804727+00:00","updated_at":"2026-07-05T05:50:06.804727+00:00"}