{"id":"W7000383101","doi":"","title":"Experiments on The Use of Demisyllables For Automatic Speech Recognition","year":2022,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Voice activity detection; Speech processing; Acoustic model; Speaker recognition; Pattern recognition (psychology); Automatic target recognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001906049,0.0009868935,0.0008877026,0.0006706003,0.0006439632,0.0007764391,0.001475471,0.001429048,0.009241439],"category_scores_gemma":[0.009118146,0.0005277065,0.0005090488,0.0006391421,0.0004745375,0.001478642,0.0007036843,0.000692739,0.002911069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625301,"about_ca_system_score_gemma":0.0004068431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00738338,"about_ca_topic_score_gemma":0.005588963,"domain_scores_codex":[0.9986626,0.0004310691,0.0001421691,0.0002804605,0.0003171691,0.0001665442],"domain_scores_gemma":[0.9917014,0.005870818,0.0001266086,0.0007592199,0.001308561,0.0002333039],"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":[0.00780927,0.002368202,0.002647868,0.001226247,0.00017673,0.001237014,0.002258288,0.007432286,0.6687719,0.001090995,0.002797838,0.3021833],"study_design_scores_gemma":[0.0008523333,0.006663345,0.01365675,0.00005914249,0.0003492302,0.001483329,0.001140816,0.06493097,0.8988584,0.0007167468,0.01113334,0.0001556558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012206,0.0004963295,0.08369474,0.0002465293,0.0001809151,0.0005868152,0.001375679,0.0045375,0.007660917],"genre_scores_gemma":[0.894139,0.0003103696,0.08909794,0.0002162338,0.00004247728,0.0002669675,0.002424954,0.0007445315,0.01275756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009241439,"threshold_uncertainty_score":0.03091568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1452647140505603,"score_gpt":0.2610301719462245,"score_spread":0.1157654578956641,"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."}}