{"id":"W3165143153","doi":"10.31234/osf.io/bm2uq","title":"How do voices become familiar? Speech intelligibility and voice recognition are differentially sensitive to voice training","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Intelligibility (philosophy); Psychology; Speech recognition; Computer science","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":[0.001174295,0.000369298,0.0005455285,0.0002773685,0.0002934204,0.00121479,0.0003988255,0.001382876,0.003429317],"category_scores_gemma":[0.01585511,0.0004584912,0.0003605505,0.00009511541,0.0008660973,0.002207313,0.001178678,0.001037215,0.0006464053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772954,"about_ca_system_score_gemma":0.0001855108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000527581,"about_ca_topic_score_gemma":0.0008507156,"domain_scores_codex":[0.9989765,0.0002201773,0.00007919437,0.0003390236,0.0002294701,0.0001556536],"domain_scores_gemma":[0.9947315,0.002455357,0.0009836222,0.0007574564,0.0004597613,0.0006122555],"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":[0.002999821,0.0004988628,0.0599727,0.0003960279,0.0002124075,0.001384764,0.006023093,0.0007068376,0.7943784,0.0003500375,0.0004399612,0.1326371],"study_design_scores_gemma":[0.0001318984,0.00553735,0.807178,0.0002332041,0.00037111,0.004624903,0.007226872,0.002879676,0.1638685,0.003175181,0.004636798,0.0001364087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960629,0.0003624076,0.001669125,0.0001655198,0.00004912525,0.00002546184,0.0000415896,0.00004692905,0.001576865],"genre_scores_gemma":[0.9966013,0.0002540618,0.001454965,0.0001753393,0.00003704679,0.00002706036,0.00007303942,0.0000472645,0.001329772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003429317,"threshold_uncertainty_score":0.01147223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09017087775657101,"score_gpt":0.2842359541356418,"score_spread":0.1940650763790708,"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."}}