{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:MEUZF5HM35W44YDPIYOTCREGD6","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":"ad9443a16cf1065b12f8bfc7362443861659cc5018c8948f4f38020c9e2d17fd","cross_cats_sorted":["cs.SD","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2018-07-31T02:29:41Z","title_canon_sha256":"0e320abdd791b1af4566636abb83e177211c9ddc95579c0715a020488f235cba"},"schema_version":"1.0","source":{"id":"1807.11632","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.11632","created_at":"2026-05-18T00:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"1807.11632v2","created_at":"2026-05-18T00:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.11632","created_at":"2026-05-18T00:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"MEUZF5HM35W4","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"MEUZF5HM35W44YDP","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"MEUZF5HM","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:4fd045f7f60530a28b047aef3a562dc8bb9a2125d7bdb3f1aa690905ca892da2","target":"graph","created_at":"2026-05-18T00:04:29Z","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"},"paper":{"abstract_excerpt":"Most neural-network based speaker-adaptive acoustic models for speech synthesis can be categorized into either layer-based or input-code approaches. Although both approaches have their own pros and cons, most existing works on speaker adaptation focus on improving one or the other. In this paper, after we first systematically overview the common principles of neural-network based speaker-adaptive models, we show that these approaches can be represented in a unified framework and can be generalized further. More specifically, we introduce the use of scaling and bias codes as generalized means f","authors_text":"Hieu-Thi Luong, Junichi Yamagishi","cross_cats":["cs.SD","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2018-07-31T02:29:41Z","title":"Scaling and bias codes for modeling speaker-adaptive DNN-based speech synthesis systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.11632","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":"sha256:15c87934b2050171cb7873ff82f4af0ff9420c314868295307b30672ef034746","target":"record","created_at":"2026-05-18T00:04:29Z","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":"ad9443a16cf1065b12f8bfc7362443861659cc5018c8948f4f38020c9e2d17fd","cross_cats_sorted":["cs.SD","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2018-07-31T02:29:41Z","title_canon_sha256":"0e320abdd791b1af4566636abb83e177211c9ddc95579c0715a020488f235cba"},"schema_version":"1.0","source":{"id":"1807.11632","kind":"arxiv","version":2}},"canonical_sha256":"612992f4ecdf6dce606f461d3144861f8d27ec4ff9cd6b2739ce50501485b7eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"612992f4ecdf6dce606f461d3144861f8d27ec4ff9cd6b2739ce50501485b7eb","first_computed_at":"2026-05-18T00:04:29.488961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:29.488961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hbVcj42aAiZzL82ZsT0TbFh+ttL6mHW2yrqP7fGG9JmVyQX6GZc6DZeghf8oIJmbUt3wutQfQjLu59s+2juODQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:29.489388Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.11632","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15c87934b2050171cb7873ff82f4af0ff9420c314868295307b30672ef034746","sha256:4fd045f7f60530a28b047aef3a562dc8bb9a2125d7bdb3f1aa690905ca892da2"],"state_sha256":"efe3d5c0ae6b39599baf82ed05fa61219f89837228f8282a2707130c4b9bbd72"}