{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:IOYNYGJQQMFP4C6FFR62FBKN4S","short_pith_number":"pith:IOYNYGJQ","canonical_record":{"source":{"id":"2303.05322","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-03-09T15:13:46Z","cross_cats_sorted":["cs.MM","eess.AS"],"title_canon_sha256":"c70abcd5c75d266cc37cc04ee9922fde7b62d2e5fa7d97b82f339b3f9314ceb9","abstract_canon_sha256":"5ece34649608b198e531b5f501a5b60048c88aaaa7c4f60823db91e6d953bce9"},"schema_version":"1.0"},"canonical_sha256":"43b0dc1930830afe0bc52c7da2854de4b0415969203f82766814a20c6fd56480","source":{"kind":"arxiv","id":"2303.05322","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.05322","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"arxiv_version","alias_value":"2303.05322v1","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.05322","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"pith_short_12","alias_value":"IOYNYGJQQMFP","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"pith_short_16","alias_value":"IOYNYGJQQMFP4C6F","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"pith_short_8","alias_value":"IOYNYGJQ","created_at":"2026-07-05T05:49:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:IOYNYGJQQMFP4C6FFR62FBKN4S","target":"record","payload":{"canonical_record":{"source":{"id":"2303.05322","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-03-09T15:13:46Z","cross_cats_sorted":["cs.MM","eess.AS"],"title_canon_sha256":"c70abcd5c75d266cc37cc04ee9922fde7b62d2e5fa7d97b82f339b3f9314ceb9","abstract_canon_sha256":"5ece34649608b198e531b5f501a5b60048c88aaaa7c4f60823db91e6d953bce9"},"schema_version":"1.0"},"canonical_sha256":"43b0dc1930830afe0bc52c7da2854de4b0415969203f82766814a20c6fd56480","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:49:39.543557Z","signature_b64":"ZdKPdMTvQ1TcWj5daLomnOnk7vZWSEKSPweqygaUiZ4HCr4vLKiNQeNG9HarXavvQCC1uxhx8wvbo21Qv5L2DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43b0dc1930830afe0bc52c7da2854de4b0415969203f82766814a20c6fd56480","last_reissued_at":"2026-07-05T05:49:39.543144Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:49:39.543144Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.05322","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:49:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u9vAH9+E/jNyO+dHsa8xseWOnXaoG8aF5e71caQqsCNQ7r58K4HRfHgFILCWbUK/aO/pnQUnBkG1C7TrSsiLCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:00:26.440797Z"},"content_sha256":"36279b6c2bbfba52a1b1adf7153f61f0111e29647c1b1f6dc0a88d7159e89526","schema_version":"1.0","event_id":"sha256:36279b6c2bbfba52a1b1adf7153f61f0111e29647c1b1f6dc0a88d7159e89526"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:IOYNYGJQQMFP4C6FFR62FBKN4S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Kai Yu, Qi Chen, Qu Lu, Tao Liu, Xie Chen, Xu Tan, Ziyang Ma","submitted_at":"2023-03-09T15:13:46Z","abstract_excerpt":"Audio-driven talking face has attracted broad interest from academia and industry recently. However, data acquisition and labeling in audio-driven talking face are labor-intensive and costly. The lack of data resource results in poor synthesis effect. To alleviate this issue, we propose to use TTS (Text-To-Speech) for data augmentation to improve few-shot ability of the talking face system. The misalignment problem brought by the TTS audio is solved with the introduction of soft-DTW, which is first adopted in the talking face task. Moreover, features extracted by HuBERT are explored to utilize"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.05322","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/2303.05322/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:49:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iHaXd7h1K3iZm2Ec3JJfHGszHql79OUXmCUAHxAkb/RvGUyNNkjNWWLPYJRbW8D18xbQH1RXYOYsddVckrZfBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:00:26.441306Z"},"content_sha256":"cbf87ed815613e3a1eae2530714dfaaabe5da2e243714fa774b45649bfe10856","schema_version":"1.0","event_id":"sha256:cbf87ed815613e3a1eae2530714dfaaabe5da2e243714fa774b45649bfe10856"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IOYNYGJQQMFP4C6FFR62FBKN4S/bundle.json","state_url":"https://pith.science/pith/IOYNYGJQQMFP4C6FFR62FBKN4S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IOYNYGJQQMFP4C6FFR62FBKN4S/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T07:00:26Z","links":{"resolver":"https://pith.science/pith/IOYNYGJQQMFP4C6FFR62FBKN4S","bundle":"https://pith.science/pith/IOYNYGJQQMFP4C6FFR62FBKN4S/bundle.json","state":"https://pith.science/pith/IOYNYGJQQMFP4C6FFR62FBKN4S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IOYNYGJQQMFP4C6FFR62FBKN4S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IOYNYGJQQMFP4C6FFR62FBKN4S","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":"5ece34649608b198e531b5f501a5b60048c88aaaa7c4f60823db91e6d953bce9","cross_cats_sorted":["cs.MM","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-03-09T15:13:46Z","title_canon_sha256":"c70abcd5c75d266cc37cc04ee9922fde7b62d2e5fa7d97b82f339b3f9314ceb9"},"schema_version":"1.0","source":{"id":"2303.05322","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.05322","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"arxiv_version","alias_value":"2303.05322v1","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.05322","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"pith_short_12","alias_value":"IOYNYGJQQMFP","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"pith_short_16","alias_value":"IOYNYGJQQMFP4C6F","created_at":"2026-07-05T05:49:39Z"},{"alias_kind":"pith_short_8","alias_value":"IOYNYGJQ","created_at":"2026-07-05T05:49:39Z"}],"graph_snapshots":[{"event_id":"sha256:cbf87ed815613e3a1eae2530714dfaaabe5da2e243714fa774b45649bfe10856","target":"graph","created_at":"2026-07-05T05:49:39Z","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/2303.05322/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Audio-driven talking face has attracted broad interest from academia and industry recently. However, data acquisition and labeling in audio-driven talking face are labor-intensive and costly. The lack of data resource results in poor synthesis effect. To alleviate this issue, we propose to use TTS (Text-To-Speech) for data augmentation to improve few-shot ability of the talking face system. The misalignment problem brought by the TTS audio is solved with the introduction of soft-DTW, which is first adopted in the talking face task. Moreover, features extracted by HuBERT are explored to utilize","authors_text":"Kai Yu, Qi Chen, Qu Lu, Tao Liu, Xie Chen, Xu Tan, Ziyang Ma","cross_cats":["cs.MM","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-03-09T15:13:46Z","title":"Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.05322","kind":"arxiv","version":1},"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":"sha256:36279b6c2bbfba52a1b1adf7153f61f0111e29647c1b1f6dc0a88d7159e89526","target":"record","created_at":"2026-07-05T05:49:39Z","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":"5ece34649608b198e531b5f501a5b60048c88aaaa7c4f60823db91e6d953bce9","cross_cats_sorted":["cs.MM","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2023-03-09T15:13:46Z","title_canon_sha256":"c70abcd5c75d266cc37cc04ee9922fde7b62d2e5fa7d97b82f339b3f9314ceb9"},"schema_version":"1.0","source":{"id":"2303.05322","kind":"arxiv","version":1}},"canonical_sha256":"43b0dc1930830afe0bc52c7da2854de4b0415969203f82766814a20c6fd56480","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43b0dc1930830afe0bc52c7da2854de4b0415969203f82766814a20c6fd56480","first_computed_at":"2026-07-05T05:49:39.543144Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:49:39.543144Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZdKPdMTvQ1TcWj5daLomnOnk7vZWSEKSPweqygaUiZ4HCr4vLKiNQeNG9HarXavvQCC1uxhx8wvbo21Qv5L2DA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:49:39.543557Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.05322","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36279b6c2bbfba52a1b1adf7153f61f0111e29647c1b1f6dc0a88d7159e89526","sha256:cbf87ed815613e3a1eae2530714dfaaabe5da2e243714fa774b45649bfe10856"],"state_sha256":"a74d72567b010a7ba80f3e6e55bba92b25f324c2bd0f50d23c6853e375e26150"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ppc0vs17AVowSxQ7FiOk8TWpJqmhHF/kj7Zn6pp0SfUQY5ILvWWwUySX7Mh2dwko0Eu/Z4UgKQ86/D1ahWxdBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T07:00:26.446067Z","bundle_sha256":"445a2a937aaf84e279bf40b34226b130446a84d7e0e039ce542ae85d9a4bc69c"}}