{"id":"W4414717790","doi":"10.33005/jasid.v1i1.5","title":"Comparative Analysis of Stochastic Gradient Descent Optimization and Adaptive Moment Estimation in Emotion Classification from Audio Using Convolutional Neural Network","year":2025,"lang":"en","type":"article","venue":"Jurnal Aplikasi Sains Data","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Stochastic gradient descent; Robustness (evolution); Deep learning; Modalities; Artificial neural network; Field (mathematics); Gradient descent","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":[0.002459842,0.001222754,0.0009564976,0.0007465901,0.0002934232,0.0007280546,0.0008114629,0.001055006,0.0007796297],"category_scores_gemma":[0.006175207,0.0002988788,0.000678971,0.0004399777,0.0004303969,0.00101439,0.0006055797,0.0008833,0.0002434284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069751,"about_ca_system_score_gemma":0.001088946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548402,"about_ca_topic_score_gemma":0.01157954,"domain_scores_codex":[0.9992967,0.000230321,0.00006249139,0.0001410069,0.0001743775,0.00009503824],"domain_scores_gemma":[0.9978964,0.001365987,0.0001452508,0.00009192279,0.0004256795,0.00007473755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001079292,0.0002691241,0.006470897,0.0002335031,0.0002115036,0.000147124,0.00007602877,0.8339177,0.005665367,0.001754227,0.002349186,0.1478261],"study_design_scores_gemma":[0.000003501792,0.00003013793,0.000418944,0.000003094113,0.000006218863,0.000005266799,0.000004802816,0.9987451,0.0006361806,0.00008942852,0.00005466067,0.000002774008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6819816,0.007472627,0.2977903,0.001463492,0.000311671,0.0001484809,0.0002967761,0.002124987,0.008410094],"genre_scores_gemma":[0.9465998,0.001042481,0.0492756,0.0001662732,0.00004879224,0.00007319458,0.0006291897,0.0001118571,0.002052798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548402,"threshold_uncertainty_score":0.03078777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08875211784956855,"score_gpt":0.3174003723557071,"score_spread":0.2286482545061385,"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."}}