{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245405,0.0009108363,0.0003658691,0.0003654482,0.0001512026,0.0004381855,0.0006660203,0.000452785,0.003878214],"category_scores_gemma":[0.0005562179,0.0001628173,0.0004420828,0.0003074416,0.0001125851,0.0005204791,0.0005028893,0.0004702675,0.001389011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004083675,"about_ca_system_score_gemma":0.0003174837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005741611,"about_ca_topic_score_gemma":0.007761818,"domain_scores_codex":[0.9998516,0.00001655676,0.000008995677,0.00004233048,0.00004627631,0.00003433281],"domain_scores_gemma":[0.9998351,0.00003309398,0.00001238646,0.00002457736,0.00008507853,0.00000967204],"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":[0.0006625509,0.0002259164,0.00320243,0.0001561181,0.0001491079,0.0002654703,0.00005972214,0.05568187,0.1880652,0.001086901,0.007683643,0.742761],"study_design_scores_gemma":[0.000009715938,0.00007385391,0.001780949,0.000007908515,0.00003948887,0.00005454643,0.00001773486,0.9542536,0.04157569,0.0002857271,0.001890802,0.00001006152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2818438,0.001927637,0.695695,0.0005705228,0.0007612337,0.0001619923,0.001400022,0.007695072,0.009944786],"genre_scores_gemma":[0.8277115,0.0005547928,0.1550957,0.0002709394,0.0001486603,0.00009691629,0.002474409,0.0001355581,0.01351155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005741611,"threshold_uncertainty_score":0.0129739,"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."}}