{"id":"W7336839","doi":"10.1007/978-3-540-49127-9_1","title":"Introduction to Speech Processing","year":2007,"lang":"en","type":"book-chapter","venue":"Springer handbooks","topic":"Cognitive Science and Education Research","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Speech processing; Speech recognition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005143358,0.0002491853,0.0002044546,0.0006150964,0.0003006887,0.0002185832,0.0003707756,0.0001569188,0.002244017],"category_scores_gemma":[0.0004101855,0.0002432295,0.00008114244,0.0001327499,0.000216648,0.0001413079,0.0001785517,0.0005237177,0.004471897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001462857,"about_ca_system_score_gemma":0.0002626879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006366958,"about_ca_topic_score_gemma":0.00002194263,"domain_scores_codex":[0.9974948,0.00001446832,0.0002659128,0.0009358436,0.0008017817,0.0004871559],"domain_scores_gemma":[0.9989669,0.00006681514,0.0001015509,0.0003766425,0.0002249207,0.0002631489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006243437,0.00003288632,0.00001347131,0.00007241023,0.000004609722,0.00006176728,0.0005787982,0.00000193015,0.09861757,0.01404826,0.01434373,0.8721621],"study_design_scores_gemma":[0.00007512417,0.0000585316,0.00003409955,0.0001598439,0.000008490437,0.00002866612,0.00002070155,0.000007923905,0.2136682,0.002600079,0.7830325,0.0003058959],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00142881,0.0001180102,0.001033435,0.001965664,0.001158685,0.0005518368,0.000006796679,0.000132994,0.9936038],"genre_scores_gemma":[0.005724746,0.00005159476,0.0005926208,0.001447502,0.003985236,0.00001791704,0.00000293757,0.00005745235,0.98812],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8718562,"threshold_uncertainty_score":0.9986681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139547647582419,"score_gpt":0.3598775188767154,"score_spread":0.2459227541184735,"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."}}