{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:DRJIQXOUQGCDICOZCGUYQ44RVY","short_pith_number":"pith:DRJIQXOU","schema_version":"1.0","canonical_sha256":"1c52885dd481843409d911a9887391ae16735da712b22136bd951544eee611f7","source":{"kind":"arxiv","id":"2201.09422","version":2},"attestation_state":"computed","paper":{"title":"Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Lan Wang, Rukiye Ruzi, Xunying Liu, Xurong Xie","submitted_at":"2022-01-24T02:35:42Z","abstract_excerpt":"Dysarthric speech recognition is a challenging task due to acoustic variability and limited amount of available data. Diverse conditions of dysarthric speakers account for the acoustic variability, which make the variability difficult to be modeled precisely. This paper presents a variational auto-encoder based variability encoder (VAEVE) to explicitly encode such variability for dysarthric speech. The VAEVE makes use of both phoneme information and low-dimensional latent variable to reconstruct the input acoustic features, thereby the latent variable is forced to encode the phoneme-independen"},"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":"2201.09422","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2022-01-24T02:35:42Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"71769923422df682098377381e4be48d2abd93b5f2e980b8330a33d8b1feca5b","abstract_canon_sha256":"f6478555d27b98b5cdf0c2ca8638fbf2cf3ac3e89dfcc0b6fc74153e76e40785"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:31:37.992145Z","signature_b64":"MEArpdPwjWdzG1e0cSpO7Jr2oTCU3Y/0jAdav1LKnNR0L9EYjTGRiEyx2dEkityo5V3HQbbYsE0e/0TUneXaCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c52885dd481843409d911a9887391ae16735da712b22136bd951544eee611f7","last_reissued_at":"2026-07-05T08:31:37.991689Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:31:37.991689Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Lan Wang, Rukiye Ruzi, Xunying Liu, Xurong Xie","submitted_at":"2022-01-24T02:35:42Z","abstract_excerpt":"Dysarthric speech recognition is a challenging task due to acoustic variability and limited amount of available data. Diverse conditions of dysarthric speakers account for the acoustic variability, which make the variability difficult to be modeled precisely. This paper presents a variational auto-encoder based variability encoder (VAEVE) to explicitly encode such variability for dysarthric speech. The VAEVE makes use of both phoneme information and low-dimensional latent variable to reconstruct the input acoustic features, thereby the latent variable is forced to encode the phoneme-independen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.09422","kind":"arxiv","version":2},"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/2201.09422/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":"2201.09422","created_at":"2026-07-05T08:31:37.991746+00:00"},{"alias_kind":"arxiv_version","alias_value":"2201.09422v2","created_at":"2026-07-05T08:31:37.991746+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.09422","created_at":"2026-07-05T08:31:37.991746+00:00"},{"alias_kind":"pith_short_12","alias_value":"DRJIQXOUQGCD","created_at":"2026-07-05T08:31:37.991746+00:00"},{"alias_kind":"pith_short_16","alias_value":"DRJIQXOUQGCDICOZ","created_at":"2026-07-05T08:31:37.991746+00:00"},{"alias_kind":"pith_short_8","alias_value":"DRJIQXOU","created_at":"2026-07-05T08:31:37.991746+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/DRJIQXOUQGCDICOZCGUYQ44RVY","json":"https://pith.science/pith/DRJIQXOUQGCDICOZCGUYQ44RVY.json","graph_json":"https://pith.science/api/pith-number/DRJIQXOUQGCDICOZCGUYQ44RVY/graph.json","events_json":"https://pith.science/api/pith-number/DRJIQXOUQGCDICOZCGUYQ44RVY/events.json","paper":"https://pith.science/paper/DRJIQXOU"},"agent_actions":{"view_html":"https://pith.science/pith/DRJIQXOUQGCDICOZCGUYQ44RVY","download_json":"https://pith.science/pith/DRJIQXOUQGCDICOZCGUYQ44RVY.json","view_paper":"https://pith.science/paper/DRJIQXOU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2201.09422&json=true","fetch_graph":"https://pith.science/api/pith-number/DRJIQXOUQGCDICOZCGUYQ44RVY/graph.json","fetch_events":"https://pith.science/api/pith-number/DRJIQXOUQGCDICOZCGUYQ44RVY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DRJIQXOUQGCDICOZCGUYQ44RVY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DRJIQXOUQGCDICOZCGUYQ44RVY/action/storage_attestation","attest_author":"https://pith.science/pith/DRJIQXOUQGCDICOZCGUYQ44RVY/action/author_attestation","sign_citation":"https://pith.science/pith/DRJIQXOUQGCDICOZCGUYQ44RVY/action/citation_signature","submit_replication":"https://pith.science/pith/DRJIQXOUQGCDICOZCGUYQ44RVY/action/replication_record"}},"created_at":"2026-07-05T08:31:37.991746+00:00","updated_at":"2026-07-05T08:31:37.991746+00:00"}