{"id":"W2112739286","doi":"10.1109/icassp.2013.6639347","title":"Deep convolutional neural networks for LVCSR","year":2013,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1070,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Convolutional neural network; Pooling; Artificial intelligence; Speech recognition; Focus (optics); Vocabulary; Feature (linguistics); Deep neural networks; Artificial neural network; 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":[0.00005204092,0.00005658353,0.00005615846,0.00002054172,0.000103354,0.0001846417,0.0003165749,0.00002779826,0.0001033571],"category_scores_gemma":[0.00001485273,0.00004512572,0.00003502063,0.00009746033,0.00001910615,0.0005095224,0.00006597864,0.00004067319,0.00005438174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009614729,"about_ca_system_score_gemma":0.000016041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009164163,"about_ca_topic_score_gemma":0.000003353092,"domain_scores_codex":[0.9994488,0.000005889142,0.00008636623,0.0001602606,0.00007839449,0.0002202783],"domain_scores_gemma":[0.9996454,0.00005621303,0.00002553608,0.0001259407,0.00008377796,0.0000631614],"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":[0.000004748307,0.00006135086,0.002967115,0.00001680102,0.00001998803,0.000002269526,0.000099711,0.01211643,0.001372491,0.05180006,0.05881143,0.8727276],"study_design_scores_gemma":[0.0001510827,0.00002140573,0.00167901,0.000001659762,8.015528e-7,0.000006852016,0.000005038109,0.9886472,0.001419038,0.007076199,0.0009166571,0.00007507652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002868437,0.0001545545,0.9924494,0.001865729,0.0002680612,0.0001144176,8.536671e-8,0.0001247883,0.002154539],"genre_scores_gemma":[0.7286384,0.000001190555,0.2678938,0.002369784,0.000187634,0.00003926325,0.000001844267,0.000003814485,0.0008642584],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9765307,"threshold_uncertainty_score":0.1840173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317611183544196,"score_gpt":0.2283655173825606,"score_spread":0.2151894055471187,"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."}}