{"id":"W2756783297","doi":"10.32920/25413286.v1","title":"Acoustic Analysis of Emotional Speech Processed by Hearing Aids","year":2024,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Acoustics; Audiology; Speech recognition; Computer science; Medicine; Physics","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":[0.0002248424,0.0002384464,0.000148184,0.0003150777,0.0001396253,0.0003556832,0.0001824546,0.000318454,0.002715618],"category_scores_gemma":[0.00108051,0.00009002627,0.0001647667,0.0001820962,0.0002672226,0.0002184894,0.000225925,0.0001827449,0.0005524521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009122802,"about_ca_system_score_gemma":0.0001084873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004849741,"about_ca_topic_score_gemma":0.0003344813,"domain_scores_codex":[0.9998191,0.00004413846,0.00001377056,0.00002349756,0.00007591843,0.000023549],"domain_scores_gemma":[0.9994801,0.0003183697,0.00002840932,0.00002509491,0.0001228102,0.00002529622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001307538,0.00005976103,0.001843847,0.0001544342,0.00002182871,0.0003596813,0.0005268184,0.0004898675,0.9629278,0.0001259101,0.0001975155,0.03198502],"study_design_scores_gemma":[0.0001115478,0.002743409,0.149052,0.00007079984,0.0001676647,0.002221733,0.001825625,0.01075039,0.8274059,0.0003997604,0.005171787,0.00007934441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929651,0.0001606971,0.004714879,0.00003247959,0.00002160077,0.00002279035,0.00009708865,0.00007096081,0.001914452],"genre_scores_gemma":[0.994253,0.000193785,0.003623587,0.00007334174,0.00001672868,0.00003346452,0.0001785846,0.00002597037,0.001601568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002715618,"threshold_uncertainty_score":0.009084642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430979177345934,"score_gpt":0.2665730513273897,"score_spread":0.2522632595539304,"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."}}