{"id":"W2123781188","doi":"10.1109/icassp.1998.674432","title":"Specific language modelling for new-word detection in continuous-speech recognition","year":2002,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Keyword spotting; Vocabulary; Spotting; Word (group theory); Natural language processing; Speech recognition; Language model; Artificial intelligence; Transcription (linguistics); Process (computing); Linguistics","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":[0.0002106052,0.0001066258,0.0001357112,0.0002163724,0.0000584527,0.0001321426,0.000206642,0.00007637383,0.0005541529],"category_scores_gemma":[0.00003360121,0.0001056561,0.00007519222,0.0003261207,0.000008802447,0.0004221317,0.00002213769,0.00008629462,0.0004168682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004473194,"about_ca_system_score_gemma":0.000006133548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008343706,"about_ca_topic_score_gemma":0.0001185489,"domain_scores_codex":[0.9990466,0.00003479383,0.0002278224,0.0003217567,0.0001368361,0.0002321517],"domain_scores_gemma":[0.9994699,0.0001414842,0.00005122696,0.0002102172,0.000055032,0.00007219231],"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":[0.000005991521,0.00004008591,0.000005151565,0.000003086601,0.000002630868,0.000006053855,0.0002916424,0.00001813605,0.002010109,0.000103381,0.001001844,0.9965119],"study_design_scores_gemma":[0.0008964508,0.00006301293,0.0000332947,0.00003074521,0.000003818501,0.0000344306,0.0002275985,0.7399662,0.2438628,0.006160874,0.008424782,0.0002959771],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0451564,0.0001015638,0.9408343,0.0003692076,0.0002474356,0.0002826213,0.000002176951,0.0002272796,0.01277898],"genre_scores_gemma":[0.4339011,0.0001106208,0.5616931,0.000322757,0.0002330252,0.00004697195,0.000005231018,0.00001713598,0.003670135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9962159,"threshold_uncertainty_score":0.6067585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06618264797328118,"score_gpt":0.2417333991260675,"score_spread":0.1755507511527863,"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."}}