{"id":"W4399729150","doi":"10.1109/scm62608.2024.10554077","title":"Speech Emotion Recognition Using Deep Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Speech recognition; Emotion recognition; Deep learning; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004316796,0.0004903231,0.0002868607,0.0003483178,0.0001449329,0.000627169,0.0003319311,0.0003992082,0.001246521],"category_scores_gemma":[0.001315051,0.0001424587,0.000408384,0.0002369963,0.0001906428,0.0008329322,0.0004752775,0.0006337494,0.0005740219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003925399,"about_ca_system_score_gemma":0.0002315813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771163,"about_ca_topic_score_gemma":0.002719494,"domain_scores_codex":[0.9997901,0.00005284242,0.00001231111,0.00005675613,0.00005323717,0.00003479118],"domain_scores_gemma":[0.9996966,0.0001442189,0.00003108912,0.00003287155,0.00008290185,0.00001227908],"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":[0.0003712117,0.0002422735,0.006636693,0.0001861976,0.0002007024,0.0002145626,0.0002846372,0.1210934,0.1449613,0.005651239,0.003613892,0.7165439],"study_design_scores_gemma":[0.000007803426,0.00007608081,0.003724738,0.00001828082,0.00003950168,0.00005743467,0.0000728847,0.9633471,0.02702617,0.003571724,0.002044476,0.00001385759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2553492,0.002013095,0.7331703,0.0006799744,0.0002328149,0.00007220244,0.000406566,0.00168773,0.00638815],"genre_scores_gemma":[0.9239987,0.0007753163,0.0699661,0.0002243507,0.00006597615,0.00003681587,0.0005138689,0.00004238826,0.004376406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001771163,"threshold_uncertainty_score":0.004170001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07641240151435433,"score_gpt":0.3498298858622915,"score_spread":0.2734174843479372,"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."}}