{"id":"W4391409096","doi":"10.1109/wsc60868.2023.10408424","title":"Emotion Classification Through Speech Data Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Speech recognition; Natural language processing; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057234,0.001054604,0.0005864503,0.001335262,0.0002668328,0.001078855,0.0004065144,0.0007979848,0.002051864],"category_scores_gemma":[0.003840091,0.00013226,0.000772448,0.0005574193,0.0002444425,0.0008876532,0.0007735835,0.0008008822,0.002474203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680382,"about_ca_system_score_gemma":0.0002559698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573683,"about_ca_topic_score_gemma":0.001280238,"domain_scores_codex":[0.9989729,0.0003415129,0.00008288159,0.0002713335,0.0002239628,0.0001074263],"domain_scores_gemma":[0.9983966,0.000698975,0.0001149689,0.0001465,0.0005816631,0.00006138085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002206293,0.0007700237,0.02237394,0.0008161026,0.0003011556,0.0008664779,0.0007375573,0.03410445,0.1336244,0.001633371,0.02469472,0.7778715],"study_design_scores_gemma":[0.00008273368,0.0008958385,0.06851821,0.0001747994,0.0002191872,0.0005373158,0.001633874,0.8350418,0.0719992,0.004883108,0.01588487,0.0001292048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6686943,0.00227948,0.2946154,0.001557274,0.001136978,0.0005512163,0.01471232,0.006044347,0.01040858],"genre_scores_gemma":[0.8910314,0.0008163145,0.08729696,0.0002164489,0.0002813038,0.0003974969,0.01447111,0.0001721532,0.005316825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002051864,"threshold_uncertainty_score":0.00686413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2831673083804563,"score_gpt":0.4339730924590747,"score_spread":0.1508057840786184,"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."}}