{"id":"W4402474716","doi":"10.1109/ccece59415.2024.10667331","title":"Non-contact far-field speech detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Field (mathematics); Near and far field; Speech recognition; Physics; Optics; Mathematics","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":[0.000387935,0.0004639569,0.0005279079,0.000348216,0.0001916223,0.0004750911,0.0005768861,0.0008747953,0.003278533],"category_scores_gemma":[0.00105064,0.0001764024,0.0002450901,0.0001370218,0.0003389425,0.0008166618,0.0006081437,0.0004071384,0.00190915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223795,"about_ca_system_score_gemma":0.0001197901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021509,"about_ca_topic_score_gemma":0.0001811192,"domain_scores_codex":[0.9992968,0.0001102325,0.0000191828,0.0001489555,0.0003706487,0.00005426872],"domain_scores_gemma":[0.9990848,0.0004321167,0.0001258682,0.00008900698,0.0002259846,0.00004221516],"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":[0.000339004,0.00006227865,0.0008484279,0.0002266943,0.00001948308,0.0002675428,0.0001253327,0.000831927,0.9445791,0.0005401415,0.000328391,0.05183158],"study_design_scores_gemma":[0.00003622183,0.0007677254,0.006715594,0.00002935421,0.00003791088,0.001726789,0.0001447611,0.01749279,0.9687959,0.0004586987,0.00376376,0.00003044773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5124865,0.001929724,0.4697989,0.0002451352,0.0003129911,0.0001173359,0.0001546552,0.00128949,0.01366544],"genre_scores_gemma":[0.9415616,0.0004848664,0.04783758,0.0001703332,0.0001035964,0.00004623357,0.000126318,0.00006764463,0.009601789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003278533,"threshold_uncertainty_score":0.01096773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009064417579497401,"score_gpt":0.2468852029665735,"score_spread":0.2378207853870761,"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."}}