{"id":"W4293791161","doi":"10.3390/app12168265","title":"Robust Feature Selection-Based Speech Emotion Classification Using Deep Transfer Learning","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Music and Audio Processing","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Spectrogram; Feature extraction; Feature selection; Speech recognition; Emotion classification; Multilayer perceptron; Perceptron; Convolutional neural network; Pattern recognition (psychology); Support vector machine; Transfer of learning; Dimensionality reduction; Artificial neural network; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008241927,0.0001097785,0.0001001874,0.0001735464,0.002515737,0.0003221491,0.0006310533,0.00003696706,0.00009121838],"category_scores_gemma":[0.00001026689,0.0001054029,0.00003686269,0.001853823,0.0001108737,0.0003344255,0.00006874601,0.0003053853,0.000006281539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009574,"about_ca_system_score_gemma":0.0002351997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001375576,"about_ca_topic_score_gemma":0.000007151173,"domain_scores_codex":[0.9983958,0.00007795429,0.0001376795,0.0005177589,0.0005933816,0.0002774189],"domain_scores_gemma":[0.9996636,0.00005310015,0.00007295245,0.0001234894,0.00003916691,0.00004772815],"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":[0.000006424043,0.00006272167,0.001325349,0.00001701664,0.000004635743,0.000001925234,0.001231199,0.8132325,0.07307802,0.02286918,0.0002440379,0.08792693],"study_design_scores_gemma":[0.0001442753,0.00004474342,0.0007715956,0.000005159944,0.000005123396,0.00001403102,0.0005488017,0.9893876,0.006575442,0.0006175909,0.001718823,0.0001668192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.135135,0.00002678247,0.8596712,0.001118275,0.0001896129,0.0001200633,2.758058e-7,0.0001732809,0.003565492],"genre_scores_gemma":[0.926111,6.657605e-7,0.07311068,0.0006041783,0.00006208937,0.00001953203,0.000002927774,0.000005665644,0.00008329219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.790976,"threshold_uncertainty_score":0.9987829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05169413394057473,"score_gpt":0.2498722361968741,"score_spread":0.1981781022562994,"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."}}