{"id":"W2031358052","doi":"10.1109/iros.2005.1545094","title":"Making a robot recognize three simultaneous sentences in real-time","year":2005,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Speech recognition; Feature (linguistics); Microphone; Robot; Humanoid robot; Filter (signal processing); Artificial intelligence; Microphone array; Computer vision; Sound pressure","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":[0.0002044399,0.0001110841,0.0001364594,0.00009913828,0.00007119014,0.0001962105,0.0005578491,0.0000448416,0.0001129977],"category_scores_gemma":[0.00008845513,0.00009300879,0.00003265677,0.00041306,0.00002262618,0.0005292335,0.0001418501,0.00009269305,0.0003719361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004195642,"about_ca_system_score_gemma":0.00005337084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005776692,"about_ca_topic_score_gemma":0.0005963926,"domain_scores_codex":[0.9989052,0.00001980495,0.0002073941,0.0003412706,0.0001945135,0.0003318559],"domain_scores_gemma":[0.9994465,0.0001632767,0.00006029745,0.0002370473,0.00004224822,0.00005065401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005710362,0.00004926348,0.001754179,0.000006905848,0.000004368008,0.0001041386,0.0003025601,0.003328465,0.01114887,0.0001588206,0.0002191153,0.9829176],"study_design_scores_gemma":[0.0005849752,0.00008303091,0.0015669,0.0001949151,0.0000041985,0.0001421567,0.00007550281,0.9323335,0.05712574,0.005586195,0.001767893,0.0005350283],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2843703,0.0003434245,0.5798913,0.008509782,0.0002621704,0.0002911818,6.984762e-7,0.001076172,0.1252549],"genre_scores_gemma":[0.6122013,0.00001354126,0.3862956,0.0004960123,0.00008056186,0.000002781373,2.605626e-7,0.00000509847,0.0009048633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9823826,"threshold_uncertainty_score":0.478061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.035351052422974,"score_gpt":0.2883318691906817,"score_spread":0.2529808167677077,"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."}}