{"id":"W4377970254","doi":"10.1109/meee57080.2023.10126695","title":"Robust Assessment of Dysarthrophonic Voice with RASTA-PLP Features: A Nonlinear Spectral Measures","year":2023,"lang":"en","type":"article","venue":"","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Speech recognition; Dysarthria; Artificial neural network; Speech processing; Artificial intelligence; Human voice; Voice analysis; Voice activity detection; Nonlinear system; Pattern recognition (psychology); Audiology","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":[0.0005606886,0.0005122948,0.0003495697,0.001122714,0.0001589337,0.0005823661,0.0002687261,0.0004710076,0.001238297],"category_scores_gemma":[0.001609571,0.0001053104,0.0003217284,0.0004683285,0.0002137175,0.0005785995,0.0003589703,0.0003481316,0.0006884621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009375394,"about_ca_system_score_gemma":0.0001474502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004954935,"about_ca_topic_score_gemma":0.0007644034,"domain_scores_codex":[0.9996569,0.00006185919,0.00002951254,0.0000748716,0.0001545667,0.00002228116],"domain_scores_gemma":[0.9994015,0.0002543134,0.00008894404,0.00004811116,0.000183297,0.00002376595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000749505,0.0001840732,0.0148159,0.0003567883,0.0001263115,0.0006245684,0.0002158946,0.01233429,0.4061833,0.0007974977,0.001076006,0.5625359],"study_design_scores_gemma":[0.00004528305,0.001218773,0.1489122,0.00009849677,0.000225704,0.004235881,0.0004786053,0.6073155,0.2278875,0.001489118,0.007930569,0.000162324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3655223,0.001515818,0.6258016,0.0001955198,0.0001500181,0.0001699456,0.0006001084,0.001492347,0.00455239],"genre_scores_gemma":[0.8486553,0.0005611967,0.1477738,0.0000560539,0.00008450427,0.00008680714,0.0005367703,0.00009485651,0.002150728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001238297,"threshold_uncertainty_score":0.004142463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053017539874894,"score_gpt":0.2987133828317002,"score_spread":0.2681832074329513,"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."}}