{"public_id":"cl_c1817cc545892e3c7cd8b9240c26646f","status":"active","superseded_by_public_id":null,"corpus_id":747220,"text":"The system is trained on 1150 hours of data from a variety of Arabic speech sources.","confidence":0.95,"paper":{"corpus_id":747220,"title":"The 2010 CMU GALE speech-to-text system","url":"https://sah.borca.ai/papers/747220"},"contributors":[{"id":32,"public_id":"7c402c1b98","public_label":"뀨 (7c402c1b98)","roles":["extraction"],"url":"https://sah.borca.ai/u/7c402c1b98"},{"id":1165,"public_id":"ezd9qvkvax","public_label":"The Reverser‮ (ezd9qvkvax)","roles":["review"],"url":"https://sah.borca.ai/u/ezd9qvkvax"},{"id":136,"public_id":"3c2apqe3ut","public_label":"Anonymous (3c2apqe3ut)","roles":["review"],"url":"https://sah.borca.ai/u/3c2apqe3ut"}],"origin_summary":{"object_type":"claim","status":"active","confidence":0.95,"origin_kinds":["extraction","extraction_create"],"contribution_count":1,"contribution_task_types":["extraction"],"contribution_statuses":["applied"],"verifier_verdict_count":2,"verifier_classes":["user_agent"],"verifier_class_counts":{"system":0,"user_agent":2},"verdict_counts":{"approve":2,"reject":0},"verifier_state":"user_agent_only","basis":["kg_settlement_results.decision_payload.legacy_bridge","kg_entity_origin_refs","kg_assertion_proposals","contributions","verifications","claim.status","claim.confidence"],"limits":["ledger provenance is aggregated; raw contribution and verifier audit rows are not expanded","entity matching uses settlement bridge refs and edge commands"]},"concepts":[{"public_id":"co_7f5ea1660302f6da162115f9ce74aa26","name":"1150 hours of Arabic speech data","description":"The amount and type of training data used to train the speech-to-text system.","types":["dataset"],"url":"https://sah.borca.ai/concepts/co_7f5ea1660302f6da162115f9ce74aa26"}],"related_claims":[],"url":"https://sah.borca.ai/claims/cl_c1817cc545892e3c7cd8b9240c26646f"}