{"id":"W4410983687","doi":"10.1007/s10489-025-06620-0","title":"From unaltered raw waveform to emotion: Synergizing convolutional and gated recurrent networks for holistic speech emotion analysis","year":2025,"lang":"en","type":"article","venue":"Applied Intelligence","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Computer science; Waveform; Speech recognition; Raw data; Human–computer interaction; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003587799,0.0006101304,0.0002892102,0.0002950547,0.000125889,0.0003207594,0.0004172678,0.0003204647,0.002010299],"category_scores_gemma":[0.0007638395,0.0001830928,0.0004065938,0.0003080343,0.0001743193,0.0005634138,0.0006468297,0.0005237829,0.0006858504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516243,"about_ca_system_score_gemma":0.0002817207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587095,"about_ca_topic_score_gemma":0.003715111,"domain_scores_codex":[0.9998977,0.00001894621,0.000004255086,0.00003267524,0.00002440752,0.00002192971],"domain_scores_gemma":[0.9998786,0.00005016784,0.00001153228,0.00001783785,0.00002896683,0.00001280355],"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":[0.0006028999,0.0002399351,0.002020684,0.0001329306,0.0001495774,0.0002136279,0.0001326022,0.06283735,0.2612605,0.002642784,0.003532597,0.6662345],"study_design_scores_gemma":[0.00001055642,0.0001378325,0.003130527,0.00001676839,0.00008399152,0.00007911688,0.00004077951,0.9658254,0.02683483,0.002577032,0.001248763,0.00001440568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2004542,0.0008844375,0.7921212,0.0002917223,0.0002097686,0.00005928652,0.0003598899,0.001613355,0.004006132],"genre_scores_gemma":[0.8829854,0.0005941,0.1101825,0.0001412134,0.00009317168,0.00006054292,0.0006517064,0.0001559674,0.005135321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002010299,"threshold_uncertainty_score":0.006725073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04942450828476624,"score_gpt":0.3477109587335464,"score_spread":0.2982864504487802,"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."}}