{"id":"W4384517870","doi":"10.1109/cbms58004.2023.00241","title":"Voice Emotion Recognition Based on Color Histogram Features","year":2023,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Speech recognition; Spectrogram; Set (abstract data type); Speaker recognition; Histogram; Facial expression; Subject (documents); Identification (biology); Emotion recognition; Speech processing; Artificial intelligence; Natural language processing; Image (mathematics)","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":[0.0001786467,0.00006648265,0.00005867746,0.0001169412,0.0001325376,0.0001186729,0.0001891618,0.00004163755,0.00004330092],"category_scores_gemma":[0.00004358918,0.000055809,0.00003185954,0.0005508492,0.00001381377,0.0001930095,0.00003378264,0.00007069317,0.0007263937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002793286,"about_ca_system_score_gemma":0.00003330555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001686051,"about_ca_topic_score_gemma":0.000008050355,"domain_scores_codex":[0.9993428,0.0000277631,0.00007741641,0.0002253061,0.0001777213,0.0001490192],"domain_scores_gemma":[0.999644,0.00006684155,0.00003724384,0.0001666099,0.00004552586,0.00003980991],"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":[0.000008507973,0.00005628675,0.00006261877,0.00002970355,0.000002838722,0.00001238876,0.0002156465,0.000465648,0.001063011,0.00141075,0.1366483,0.8600243],"study_design_scores_gemma":[0.0008488202,0.0003486886,0.02388841,0.000173179,0.00001008185,0.000008516634,0.00007258193,0.889218,0.01550589,0.008955528,0.06046954,0.0005007652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03646372,0.00001461071,0.8717021,0.01337367,0.0009869273,0.0001881944,0.000002123609,0.001870916,0.07539773],"genre_scores_gemma":[0.9377367,0.000003783461,0.04442217,0.01084865,0.000162254,0.00002252537,0.00003498877,0.00001071638,0.006758246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.901273,"threshold_uncertainty_score":0.9336564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198062412692756,"score_gpt":0.2566569029547336,"score_spread":0.2246762788278061,"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."}}