{"id":"W7127295853","doi":"10.1201/9781003603405-7","title":"Multimodal emotion recognition from voice data using machine learning techniques","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emotion recognition; Convolutional neural network; Emotion classification; Multilayer perceptron; Deep learning; Artificial neural network; Modal; Multi-task learning; Facial expression; Perceptron","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003123025,0.0004052221,0.0003996199,0.0004085961,0.00016861,0.00005784001,0.000325998,0.0009193828,0.0183255],"category_scores_gemma":[0.00007384727,0.0004251751,0.000128242,0.00004743336,0.00005843109,0.0002117164,0.0002660048,0.001002566,0.001567111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009499062,"about_ca_system_score_gemma":0.00005016763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002776027,"about_ca_topic_score_gemma":0.00055199,"domain_scores_codex":[0.9979332,0.0001368684,0.0005239252,0.0009573578,0.0002177962,0.0002308732],"domain_scores_gemma":[0.9984421,0.0001583655,0.0003640818,0.0007745662,0.0001849965,0.0000758599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001320783,0.0001351113,0.00008019261,0.00006232838,0.0004682056,0.00003730536,0.0001765523,6.685706e-7,0.0008818434,0.002794063,0.009202073,0.9860296],"study_design_scores_gemma":[0.002170388,0.0003022533,0.0002488834,0.002777342,0.001247361,0.00008694063,0.0002349364,0.009635581,0.001901759,0.03896457,0.9402685,0.002161509],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002019071,0.0004322468,0.0358543,0.0001802433,0.001470735,0.0006191088,0.001818749,0.0008387037,0.958584],"genre_scores_gemma":[0.00156139,0.0005146544,0.03749865,0.0007532276,0.001192044,0.00001577874,0.0550952,0.0001364552,0.9032326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9838681,"threshold_uncertainty_score":0.99982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163497212802477,"score_gpt":0.3503973552831894,"score_spread":0.2340476340029417,"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."}}