{"id":"W4402173056","doi":"10.1101/2024.09.02.610805","title":"Are you talking to me? How the choice of speech register impacts listeners’ hierarchical encoding of speech","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Agencia Estatal de Investigación; Ministerio de Ciencia e Innovación; Science Foundation Ireland; Ministerio de Economía y Competitividad; Eusko Jaurlaritza; Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona; Trinity College Dublin; European Commission","keywords":"Register (sociolinguistics); Speech recognition; Speech error; Encoding (memory); Computer science; Active listening; Speech perception; Speech processing; Speech production; Perception; Psychology; Linguistics; Communication; Artificial intelligence","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":[0.00058365,0.0001621112,0.0001200048,0.0001497773,0.0001813909,0.00117158,0.0001656959,0.0003393846,0.003107148],"category_scores_gemma":[0.004932915,0.0001388812,0.0001367968,0.00007550575,0.0003484978,0.0005193415,0.0003285485,0.0003619429,0.0005644156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383996,"about_ca_system_score_gemma":0.0001927855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253876,"about_ca_topic_score_gemma":0.001516974,"domain_scores_codex":[0.9997526,0.0000710692,0.00001212352,0.00005863754,0.00007169336,0.0000338372],"domain_scores_gemma":[0.9989765,0.0005614525,0.0001508346,0.0000596706,0.0001651844,0.00008641215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001891519,0.0001863564,0.0892768,0.0003442818,0.0001126469,0.000915163,0.02067913,0.0006417593,0.8073195,0.00118566,0.00101835,0.07642892],"study_design_scores_gemma":[0.0001008619,0.001673646,0.8591264,0.0001676994,0.0003113192,0.001884358,0.02564928,0.004686726,0.09444163,0.003367311,0.008473484,0.0001174031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963087,0.0001022228,0.0007063888,0.0000929694,0.00001125019,0.000007233069,0.00003868843,0.00001378255,0.002718724],"genre_scores_gemma":[0.9983058,0.0001294183,0.0005062682,0.00005434209,0.000006298651,0.000009643863,0.00004510595,0.00001780581,0.0009253374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003107148,"threshold_uncertainty_score":0.01039451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05409125948459394,"score_gpt":0.2818936134697553,"score_spread":0.2278023539851614,"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."}}