{"id":"W4412474067","doi":"10.52968/15065719","title":"Design and Implementation of Amharic Text-to-Speech System for Visual-Impaired and Blind Students","year":2023,"lang":"en","type":"article","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Amharic; Computer science; Speech recognition; Natural language processing; Speech synthesis; Visually impaired; Artificial intelligence; Linguistics; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007707894,0.00008333757,0.0001313828,0.0002489222,0.000127272,0.0001624398,0.0004145516,0.00002519752,0.000001552703],"category_scores_gemma":[0.00001670771,0.00007708347,0.00001185003,0.000444779,0.0000181525,0.0001902273,0.0005386371,0.00002641904,0.000006936094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003022649,"about_ca_system_score_gemma":0.00004004077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007244606,"about_ca_topic_score_gemma":0.00001601606,"domain_scores_codex":[0.9991753,0.0000783467,0.0002116568,0.0001522249,0.0002134934,0.0001690081],"domain_scores_gemma":[0.9992734,0.0003274475,0.0000580521,0.0002002859,0.00009763506,0.00004319075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003343635,0.0003889497,0.1124742,0.004410897,0.0008051869,0.00003847971,0.1655991,0.0005845065,0.02303554,0.11976,0.02582359,0.5467452],"study_design_scores_gemma":[0.009691499,0.003022693,0.5117912,0.000597565,0.00008127841,0.00008547704,0.03916206,0.2375435,0.191232,0.00443293,0.0009631871,0.001396655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5661314,0.00001225788,0.4327657,0.0001917986,0.00009662455,0.0006247693,0.000001327416,0.000147163,0.00002902343],"genre_scores_gemma":[0.9053211,0.000009074216,0.0943313,0.00006450685,0.000008632995,0.00007681356,0.000002662445,0.000007482985,0.000178434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5453485,"threshold_uncertainty_score":0.3143373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0635913843873931,"score_gpt":0.3723183375928891,"score_spread":0.308726953205496,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}