{"id":"W2123545720","doi":"10.1109/icassp.2009.4960580","title":"Unsupervised pronunciation validation","year":2009,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Pronunciation; Vocabulary; Word error rate; Speech recognition; Lexicon; Artificial intelligence; Search engine indexing; Phone; Natural language processing; Word (group theory); Speech processing; Pattern recognition (psychology)","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":[0.0001156901,0.00003889614,0.00003936408,0.00005050077,0.00003963485,0.00008583011,0.0001611477,0.00002211192,0.0001670437],"category_scores_gemma":[0.00003494348,0.00003285911,0.000022791,0.0001658528,0.000002347425,0.0003760764,0.000008320115,0.00002028403,0.0003298138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001616884,"about_ca_system_score_gemma":0.00001483809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001880153,"about_ca_topic_score_gemma":6.074671e-7,"domain_scores_codex":[0.999569,0.00002193394,0.00008012009,0.0001196964,0.0001327059,0.0000765329],"domain_scores_gemma":[0.9997315,0.00001792673,0.00001911445,0.0001493714,0.00005149783,0.00003060674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[8.193189e-7,0.0000357575,0.00006530892,5.894812e-7,0.000001360759,9.348665e-7,0.00007315159,0.000001662267,0.002756768,0.05523572,0.00101978,0.9408081],"study_design_scores_gemma":[0.0008641304,0.0002451221,0.07040437,0.00001846933,0.000008965779,0.00002387912,0.00005371598,0.138937,0.6573201,0.1164757,0.01511678,0.0005317883],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02062361,0.00000611441,0.8479519,0.004946063,0.00009105207,0.0001077113,1.863424e-7,0.0003738708,0.1258995],"genre_scores_gemma":[0.8484184,0.000003634885,0.1489216,0.001680271,0.00003401501,0.000003611355,0.000002691011,0.000001424332,0.0009343591],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9402764,"threshold_uncertainty_score":0.4239199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876753875251612,"score_gpt":0.233102594424234,"score_spread":0.2143350556717179,"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."}}