{"id":"W4409036126","doi":"10.1075/jslp.24035.joh","title":"Exploring automatic speech recognition for corrective and confirmative pronunciation feedback","year":2025,"lang":"en","type":"article","venue":"Journal of Second Language Pronunciation","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Concordia University; University of Calgary","funders":"","keywords":"Pronunciation; Speech recognition; Corrective feedback; Computer science; Natural language processing; Artificial intelligence; Psychology; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009825706,0.0001260377,0.0002495099,0.0003826366,0.000115662,0.0001675015,0.0001655888,0.00006455441,0.00006965546],"category_scores_gemma":[0.0009054775,0.0001141537,0.00008616472,0.0002935904,0.00001780509,0.001816989,0.00003104592,0.0001466312,0.000008059084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001710191,"about_ca_system_score_gemma":0.0001524041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007014572,"about_ca_topic_score_gemma":0.00004070079,"domain_scores_codex":[0.9988222,0.0001076372,0.0005038235,0.000174945,0.0002362141,0.0001551882],"domain_scores_gemma":[0.9981014,0.0004124331,0.0006290685,0.00011014,0.0006919895,0.00005503932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003299274,0.0000565174,0.0001052157,0.0001377106,0.00006837034,0.000004957014,0.00514343,8.812837e-7,0.002797366,0.0002811122,0.0003416971,0.9910297],"study_design_scores_gemma":[0.01049493,0.001705294,0.127682,0.003169497,0.0004899788,0.0005712581,0.03096479,0.1253858,0.6467029,0.04813302,0.003287042,0.001413436],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8464326,0.0003838445,0.1489841,0.0006264511,0.0008617756,0.0007582466,0.00001582349,0.00007121595,0.001865904],"genre_scores_gemma":[0.7897879,0.00009261902,0.2082933,0.000805469,0.0002970833,0.0001724134,0.00002384229,0.00001897998,0.000508411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9896163,"threshold_uncertainty_score":0.4655051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05225835841736854,"score_gpt":0.2711523815702899,"score_spread":0.2188940231529213,"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."}}