{"id":"W7124148643","doi":"10.1109/codit66093.2025.11321894","title":"Inception-based Deep Learning Model for Arabic Audio Emotion Recognition in Forensics","year":2025,"lang":"","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Université Laval","funders":"","keywords":"Deep learning; Feature extraction; Emotion recognition; Adaptability; Feature (linguistics); Arabic","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001036435,0.0004205857,0.000486727,0.00108318,0.0003561771,0.00009076252,0.0001474955,0.0008134146,0.001538099],"category_scores_gemma":[0.0004291394,0.0004902325,0.0003464575,0.0008561042,0.0001357289,0.0002266282,0.00003255868,0.0007317034,0.0004038681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003729583,"about_ca_system_score_gemma":0.0002407317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007225477,"about_ca_topic_score_gemma":0.00119744,"domain_scores_codex":[0.9966303,0.0004902679,0.001068974,0.0009173899,0.0002087031,0.0006843561],"domain_scores_gemma":[0.9982773,0.000447412,0.0003391249,0.0003054499,0.0005148575,0.0001158338],"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":[0.0009661468,0.0009142715,0.001952776,0.0005011525,0.0001073078,0.000002613086,0.00173067,0.05235838,0.0005881848,0.005508211,0.001880822,0.9334894],"study_design_scores_gemma":[0.007197046,0.0003731096,0.003289097,0.0006179771,0.0001826059,0.000002464375,0.001676717,0.9297678,0.0005438745,0.05495323,0.0008978819,0.0004981881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0597689,0.0001813688,0.8893652,0.001755764,0.002028619,0.001838725,0.00004455149,0.0001875168,0.04482938],"genre_scores_gemma":[0.9679704,0.0002088089,0.01271956,0.002417044,0.0001842582,0.000425046,0.001467103,0.00005601797,0.01455178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9329913,"threshold_uncertainty_score":0.9997549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871209174695141,"score_gpt":0.3278162672821029,"score_spread":0.2791041755351515,"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."}}