{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:3ZEAVWC2MW2QHERGTIOTFM4RRX","short_pith_number":"pith:3ZEAVWC2","schema_version":"1.0","canonical_sha256":"de480ad85a65b50392269a1d32b3918dfbb5dfe8dbe628b9ae04ea94b597b8c8","source":{"kind":"arxiv","id":"2409.05730","version":1},"attestation_state":"computed","paper":{"title":"AS-Speech: Adaptive Style For Speech Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Guanglu Wan, Guoqiao Yu, Jun Wang, Shuaiqi Chen, Xiangmin Xu, Xiaofen Xing, Zhipeng Li","submitted_at":"2024-09-09T15:41:38Z","abstract_excerpt":"In recent years, there has been significant progress in Text-to-Speech (TTS) synthesis technology, enabling the high-quality synthesis of voices in common scenarios. In unseen situations, adaptive TTS requires a strong generalization capability to speaker style characteristics. However, the existing adaptive methods can only extract and integrate coarse-grained timbre or mixed rhythm attributes separately. In this paper, we propose AS-Speech, an adaptive style methodology that integrates the speaker timbre characteristics and rhythmic attributes into a unified framework for text-to-speech synt"},"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":"2409.05730","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2024-09-09T15:41:38Z","cross_cats_sorted":[],"title_canon_sha256":"55a013210bf49f9b5df357eb67067596553fde5dc19c16fd70d29c49765091c1","abstract_canon_sha256":"ba6d8edc4c71c8f72c605a8a287eee6d22f210878142246559fe52aee6cf1949"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:04:53.368592Z","signature_b64":"waf4/6TJF2B05swg1SnQf9f+8JudOxpzcFLSH7C+IYCz7C5DSZDg0NwpiE3OCZZhR7GPfnj/YZfKci0oiypuCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de480ad85a65b50392269a1d32b3918dfbb5dfe8dbe628b9ae04ea94b597b8c8","last_reissued_at":"2026-07-05T09:04:53.368199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:04:53.368199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AS-Speech: Adaptive Style For Speech Synthesis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Guanglu Wan, Guoqiao Yu, Jun Wang, Shuaiqi Chen, Xiangmin Xu, Xiaofen Xing, Zhipeng Li","submitted_at":"2024-09-09T15:41:38Z","abstract_excerpt":"In recent years, there has been significant progress in Text-to-Speech (TTS) synthesis technology, enabling the high-quality synthesis of voices in common scenarios. In unseen situations, adaptive TTS requires a strong generalization capability to speaker style characteristics. However, the existing adaptive methods can only extract and integrate coarse-grained timbre or mixed rhythm attributes separately. In this paper, we propose AS-Speech, an adaptive style methodology that integrates the speaker timbre characteristics and rhythmic attributes into a unified framework for text-to-speech synt"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.05730","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/2409.05730/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":"2409.05730","created_at":"2026-07-05T09:04:53.368257+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.05730v1","created_at":"2026-07-05T09:04:53.368257+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.05730","created_at":"2026-07-05T09:04:53.368257+00:00"},{"alias_kind":"pith_short_12","alias_value":"3ZEAVWC2MW2Q","created_at":"2026-07-05T09:04:53.368257+00:00"},{"alias_kind":"pith_short_16","alias_value":"3ZEAVWC2MW2QHERG","created_at":"2026-07-05T09:04:53.368257+00:00"},{"alias_kind":"pith_short_8","alias_value":"3ZEAVWC2","created_at":"2026-07-05T09:04:53.368257+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/3ZEAVWC2MW2QHERGTIOTFM4RRX","json":"https://pith.science/pith/3ZEAVWC2MW2QHERGTIOTFM4RRX.json","graph_json":"https://pith.science/api/pith-number/3ZEAVWC2MW2QHERGTIOTFM4RRX/graph.json","events_json":"https://pith.science/api/pith-number/3ZEAVWC2MW2QHERGTIOTFM4RRX/events.json","paper":"https://pith.science/paper/3ZEAVWC2"},"agent_actions":{"view_html":"https://pith.science/pith/3ZEAVWC2MW2QHERGTIOTFM4RRX","download_json":"https://pith.science/pith/3ZEAVWC2MW2QHERGTIOTFM4RRX.json","view_paper":"https://pith.science/paper/3ZEAVWC2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.05730&json=true","fetch_graph":"https://pith.science/api/pith-number/3ZEAVWC2MW2QHERGTIOTFM4RRX/graph.json","fetch_events":"https://pith.science/api/pith-number/3ZEAVWC2MW2QHERGTIOTFM4RRX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3ZEAVWC2MW2QHERGTIOTFM4RRX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3ZEAVWC2MW2QHERGTIOTFM4RRX/action/storage_attestation","attest_author":"https://pith.science/pith/3ZEAVWC2MW2QHERGTIOTFM4RRX/action/author_attestation","sign_citation":"https://pith.science/pith/3ZEAVWC2MW2QHERGTIOTFM4RRX/action/citation_signature","submit_replication":"https://pith.science/pith/3ZEAVWC2MW2QHERGTIOTFM4RRX/action/replication_record"}},"created_at":"2026-07-05T09:04:53.368257+00:00","updated_at":"2026-07-05T09:04:53.368257+00:00"}