{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001742032,0.0000797905,0.0001539898,0.0003230184,0.00004535635,0.0002835325,0.0003439611,0.00003228784,0.0001310885],"category_scores_gemma":[0.00002909968,0.00006548669,0.00008868908,0.002624022,0.00002223456,0.0005363349,0.00008502968,0.00007439558,0.00002152165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002180983,"about_ca_system_score_gemma":0.000099966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001447702,"about_ca_topic_score_gemma":0.000005874972,"domain_scores_codex":[0.999064,0.000009581357,0.0001769984,0.000293562,0.0002940015,0.0001618363],"domain_scores_gemma":[0.9996088,0.00006221898,0.00002867792,0.0001767248,0.00007238772,0.00005115362],"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":[0.00000526239,0.0002005785,0.005499936,0.0006771564,0.001432543,0.00005976362,0.0007879093,0.005662863,0.5497984,0.005273097,0.007710141,0.4228923],"study_design_scores_gemma":[0.0000964518,0.00005501839,0.001668806,0.00009448316,0.0002110552,0.00001222474,0.00004739384,0.4904238,0.5049727,0.001691776,0.0005243242,0.000201964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1000488,0.000457871,0.8955222,0.0003551478,0.00009753583,0.00003027139,0.000002569855,0.0002124406,0.003273193],"genre_scores_gemma":[0.9336335,0.000005965808,0.06489807,0.0001189572,0.00002555309,0.000001814247,0.000005014976,0.000004417971,0.001306703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8335847,"threshold_uncertainty_score":0.273411,"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."}}