{"id":"W4404030056","doi":"10.1109/icccnt61001.2024.10724513","title":"Enhanced Speech Emotion Recognition through Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Speech recognition; Computer science; Convolutional neural network; Emotion recognition; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033833,0.0008396843,0.0003616276,0.0003563759,0.0001829342,0.0005130722,0.0005234238,0.0004687423,0.001507812],"category_scores_gemma":[0.0007938626,0.0002097731,0.0005705721,0.0002189797,0.0001606274,0.0006503744,0.0004712267,0.0008079784,0.0008206664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005159363,"about_ca_system_score_gemma":0.0002993317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005679791,"about_ca_topic_score_gemma":0.006912825,"domain_scores_codex":[0.9997832,0.00003123101,0.00001174879,0.00006841245,0.00005845207,0.00004694772],"domain_scores_gemma":[0.9998236,0.00005997096,0.00001618591,0.00001640869,0.00007530204,0.000008534397],"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":[0.0006322465,0.0003040242,0.00402199,0.0001672906,0.0002142491,0.0002678295,0.000178643,0.1537812,0.1224941,0.002312679,0.007932292,0.7076935],"study_design_scores_gemma":[0.000005000772,0.00005663562,0.001405903,0.000009634426,0.00003877963,0.00003657463,0.00002136981,0.9808334,0.01566841,0.0006896734,0.001224474,0.00001013753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2343937,0.002389239,0.7451943,0.0007143675,0.0005583671,0.000113687,0.0009022618,0.004788498,0.01094547],"genre_scores_gemma":[0.8963661,0.0009866267,0.0882989,0.0003151073,0.0001112953,0.00008987241,0.00160866,0.0001229898,0.01210034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005679791,"threshold_uncertainty_score":0.01129347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05248679822260661,"score_gpt":0.3290376013399528,"score_spread":0.2765508031173462,"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."}}