{"id":"W2170521850","doi":"10.1109/mwscas.2000.951427","title":"ARMA lattice modeling for isolated word speech recognition","year":2002,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Autoregressive–moving-average model; Speech recognition; Lattice (music); Computer science; Autoregressive model; Artificial intelligence; Pattern recognition (psychology); Natural language processing; Mathematics; Statistics; Acoustics; Physics","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":[0.0007548972,0.0005667483,0.0006860358,0.0005478585,0.0002268212,0.0006443936,0.0009704211,0.0005519071,0.002475681],"category_scores_gemma":[0.001974842,0.0003017822,0.0007629876,0.0005712141,0.000280071,0.000789448,0.00033931,0.001052481,0.002257998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000450532,"about_ca_system_score_gemma":0.0005748566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004535501,"about_ca_topic_score_gemma":0.004629575,"domain_scores_codex":[0.9994592,0.0001779376,0.00003040739,0.0001116798,0.0001840686,0.00003667559],"domain_scores_gemma":[0.9993064,0.0003225526,0.00006105614,0.00009041877,0.0001924746,0.0000270063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003211814,0.0001294753,0.0008915957,0.0001395515,0.0001491541,0.0001647141,0.00008705362,0.5985135,0.03599061,0.01648068,0.003005234,0.3441273],"study_design_scores_gemma":[0.000002506059,0.00001282672,0.00006248691,0.000002000567,0.000004920449,0.00001889733,0.00000232776,0.9969586,0.001255192,0.001132756,0.0005431419,0.000004462023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009483013,0.0004015485,0.9875296,0.00009324345,0.00008350696,0.00002002002,0.0001182561,0.001204352,0.001066318],"genre_scores_gemma":[0.5013522,0.001005717,0.4854468,0.0001644803,0.0001794259,0.0002451316,0.0007760869,0.0003384322,0.01049179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004535501,"threshold_uncertainty_score":0.009018183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101080876479372,"score_gpt":0.2618220852740568,"score_spread":0.1607412087946848,"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."}}