{"id":"W4404362260","doi":"10.18280/ts.410548","title":"An English Pronunciation Correction System Based on Signal Processing","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pronunciation; Computer science; Speech recognition; SIGNAL (programming language); Signal processing; Artificial intelligence; Natural language processing; Linguistics; Digital signal processing; Computer hardware; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002688697,0.000135474,0.00008914861,0.0001457544,0.0002009516,0.0003762316,0.0002926204,0.00003697792,0.00001820299],"category_scores_gemma":[0.000002440642,0.0001267141,0.00004783214,0.0004480428,0.00001488227,0.0006396706,0.00001760174,0.0001239046,0.0000170383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339897,"about_ca_system_score_gemma":0.0001256188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002207531,"about_ca_topic_score_gemma":6.282863e-7,"domain_scores_codex":[0.9987166,0.00004644592,0.0002326987,0.0004303352,0.0004055478,0.0001683513],"domain_scores_gemma":[0.9994646,0.00006735708,0.00006768175,0.0001612476,0.0001696756,0.00006949354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002002716,0.0002767997,0.00005002804,0.0001511765,0.00001033083,0.00001203601,0.0008655621,0.3291209,0.001999191,0.1336901,0.00118408,0.5326198],"study_design_scores_gemma":[0.0001102741,0.0002470852,0.0002697733,0.0001687697,0.000006887523,0.000003875877,0.00003837247,0.9923618,0.002011822,0.0008704115,0.003763182,0.000147715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001365218,0.00002426078,0.9947552,0.0002359723,0.0002170423,0.0003843399,0.000004462194,0.001716743,0.001296749],"genre_scores_gemma":[0.9561237,4.433644e-7,0.04298693,0.0002134398,0.0003517001,0.0002489181,0.00003336572,0.00001393025,0.00002756642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9547585,"threshold_uncertainty_score":0.5167249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248818280599562,"score_gpt":0.2649859521654453,"score_spread":0.2524977693594497,"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."}}