{"id":"W4409567687","doi":"10.56294/dm2025715","title":"Enhanced  Speech Emotion RecognitionUsing AudioSignal Processing with   CNN Assistance","year":2025,"lang":"en","type":"article","venue":"Data & Metadata","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Speech recognition; Computer science; Psychology; Natural language processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006242443,0.000209081,0.0002558045,0.0002059201,0.0002577726,0.0002630627,0.0005990384,0.0001173332,0.001010735],"category_scores_gemma":[0.0001246766,0.0001868908,0.00003074057,0.0006505186,0.00009676011,0.001754336,0.0001893334,0.0002752932,0.0002586787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004248487,"about_ca_system_score_gemma":0.0001224176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005583949,"about_ca_topic_score_gemma":0.0001874784,"domain_scores_codex":[0.9980159,0.0001924742,0.0003628032,0.0008543617,0.0002533362,0.0003211211],"domain_scores_gemma":[0.9982187,0.00006905328,0.0002080815,0.00124607,0.0001900123,0.00006808995],"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":[0.0002836862,0.0003657042,0.000158703,0.0001147279,0.000232783,0.00003337165,0.0001721752,8.956718e-7,0.006458428,0.001692628,0.02393957,0.9665473],"study_design_scores_gemma":[0.02622076,0.001027291,0.0944969,0.009868757,0.005740581,0.0008699261,0.01263586,0.004564355,0.1237893,0.01887592,0.6963894,0.005520902],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03753484,0.0007531519,0.8661222,0.0009814968,0.00117086,0.000576293,0.001562414,0.000300539,0.09099822],"genre_scores_gemma":[0.933439,0.00008542984,0.03268977,0.001822982,0.0003430379,0.00005641593,0.02151912,0.00005027826,0.009993965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9610264,"threshold_uncertainty_score":0.9999025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07902064900597638,"score_gpt":0.3591936439148117,"score_spread":0.2801729949088353,"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."}}