{"id":"W4205655080","doi":"10.18280/ts.380631","title":"A Perspective Study on Speech Emotion Recognition: Databases, Features and Classification Models","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Speech recognition; Dictation; Conversation; Telugu; Database; Speech analytics; Speech corpus; Natural language processing; Perspective (graphical); Speech synthesis; Artificial intelligence; Psychology; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003251422,0.0005823322,0.001334356,0.002002305,0.0004563894,0.004640575,0.001737353,0.00164107,0.00212765],"category_scores_gemma":[0.007074898,0.0003581833,0.0009992037,0.003860993,0.0008411234,0.005940219,0.0007374989,0.002025503,0.001186147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346648,"about_ca_system_score_gemma":0.0006271175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918323,"about_ca_topic_score_gemma":0.001128821,"domain_scores_codex":[0.9977688,0.0005058131,0.000208673,0.0007386583,0.0006875292,0.00009065071],"domain_scores_gemma":[0.9969025,0.001624762,0.0001728778,0.0003486294,0.0008851202,0.00006601324],"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":[0.0003697173,0.0003757988,0.00988057,0.0006275505,0.0001992323,0.0002406884,0.000583236,0.04114619,0.008825103,0.144219,0.01083869,0.7826942],"study_design_scores_gemma":[0.00002182764,0.0003611337,0.007253717,0.0002405242,0.0001282949,0.0006645725,0.0005337805,0.879124,0.007539043,0.06532297,0.03873658,0.000073519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0448202,0.05169265,0.8819109,0.006564858,0.0006941093,0.0001796584,0.0007576182,0.0006604863,0.01271954],"genre_scores_gemma":[0.6892414,0.05657492,0.2339303,0.00164122,0.00304731,0.0004865722,0.002851564,0.0001901155,0.01203657],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004640575,"threshold_uncertainty_score":0.01719534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1401328506527095,"score_gpt":0.3552651624007498,"score_spread":0.2151323117480403,"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."}}