{"id":"W4250163740","doi":"10.1109/tasl.2013.2253678","title":"IEEE Transactions on Audio, Speech, and Language Processing publication information","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Audio Speech and Language Processing","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"University of Texas at Dallas; Korea Advanced Institute of Science and Technology; Hong Kong Polytechnic University; Tsinghua University; Aalborg Universitet; Nanyang Technological University; York University; Ben-Gurion University of the Negev; Bar-Ilan University; University of Cambridge; National Cheng Kung University; Ohio State University; Institut national de recherche en informatique et en automatique (INRIA); Northwestern University","keywords":"Computer science; Speech recognition; Audio mining; Speech processing; Multimedia; Natural language processing; World Wide Web; Voice activity detection","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008596088,0.0008053393,0.0007545531,0.001003135,0.000512851,0.001801231,0.0006434157,0.001201805,0.1407379],"category_scores_gemma":[0.001811677,0.000183343,0.0004332892,0.0008315191,0.0004826857,0.001332411,0.0007685024,0.001155922,0.0646145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003305183,"about_ca_system_score_gemma":0.001131012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832925,"about_ca_topic_score_gemma":0.002921812,"domain_scores_codex":[0.9994218,0.00006078001,0.00004912268,0.0000641993,0.000343952,0.00006018389],"domain_scores_gemma":[0.9989342,0.0001688237,0.00003381108,0.0001451255,0.0006236893,0.00009434691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000420794,0.0001549367,0.0009268489,0.0003687722,0.00006605322,0.0003759604,0.00008712658,0.001447378,0.01462908,0.01100177,0.3879059,0.5826154],"study_design_scores_gemma":[0.00005229984,0.0001851411,0.002504132,0.0001958458,0.00007844767,0.0007680745,0.0001140256,0.01798127,0.007097665,0.009537867,0.961449,0.00003627479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01937603,0.03964166,0.4153726,0.01114549,0.05948234,0.0007802887,0.005578703,0.004906381,0.4437165],"genre_scores_gemma":[0.09491786,0.02675509,0.07089651,0.002388354,0.008283977,0.0003296196,0.01241212,0.0005522117,0.7834643],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1407379,"threshold_uncertainty_score":0.4708151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121800342702059,"score_gpt":0.2406691442479533,"score_spread":0.2284891099777474,"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."}}