{"id":"W4362705417","doi":"10.48047/ijfans/v11/i12/203","title":"Speech Emotion Recognition","year":2023,"lang":"en","type":"article","venue":"International Journal of Food and Nutritional Sciences","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Speech recognition; Emotion recognition; Spectrogram; Computer science; Mel-frequency cepstrum; Convolutional neural network; Classifier (UML); Multilayer perceptron; Emotion classification; Artificial intelligence; Artificial neural network; Feature extraction","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":[],"consensus_categories":[],"category_scores_codex":[0.0006581575,0.00006504491,0.00008683949,0.0004970071,0.0001045961,0.00007129167,0.0001699695,0.00005138113,0.0006595455],"category_scores_gemma":[0.00007932029,0.00005539983,0.00007657069,0.0002932409,0.0001452875,0.0003102392,0.00002214761,0.0001029303,0.0001682752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002047767,"about_ca_system_score_gemma":0.00003160092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005631814,"about_ca_topic_score_gemma":0.000003940756,"domain_scores_codex":[0.9988716,0.00006225517,0.0002860419,0.0001299456,0.0005295169,0.0001205983],"domain_scores_gemma":[0.9991931,0.0001259526,0.0001905508,0.00002564193,0.0003969076,0.00006784618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005637869,0.0009383748,0.005348294,0.00003037893,0.0005537312,0.0003296606,0.001803656,0.00002002276,0.01238314,0.06618644,0.05239297,0.8594496],"study_design_scores_gemma":[0.005979552,0.003867198,0.2415198,0.0006584959,0.00007146447,0.006505886,0.006415381,0.0001522007,0.008847502,0.6979263,0.02752225,0.0005339153],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810382,0.00021866,0.0002696551,0.005304744,0.002907621,0.00005595394,0.00005746883,0.00003064348,0.01011709],"genre_scores_gemma":[0.9974131,0.000339562,0.00079399,0.0003375906,0.0009001282,0.000003320982,0.00003094429,0.00000407926,0.000177258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8589156,"threshold_uncertainty_score":0.722156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08393789686073107,"score_gpt":0.3650854977447411,"score_spread":0.2811476008840101,"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."}}