{"id":"W4253290035","doi":"10.1121/2.0000395","title":"Towards real-time two-dimensional wave propagation for articulatory speech synthesis","year":2016,"lang":"en","type":"article","venue":"Proceedings of meetings on acoustics","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nvidia","keywords":"Computer science; Formant; Solver; Discretization; Speech recognition; Speech enhancement; Acoustics; Artificial intelligence","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":[0.001030072,0.0002358113,0.0003283906,0.0002234316,0.0001271951,0.00010054,0.0004173191,0.0001199275,0.0000592635],"category_scores_gemma":[0.003329927,0.0001700278,0.0001330334,0.0002682054,0.00009576268,0.0003645943,0.0001196684,0.0000706894,0.00007816809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050952,"about_ca_system_score_gemma":0.00009229969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003652719,"about_ca_topic_score_gemma":8.71777e-8,"domain_scores_codex":[0.9979386,0.00001159985,0.0004817137,0.0005173952,0.0006678941,0.0003827602],"domain_scores_gemma":[0.9971844,0.0007462313,0.0004183182,0.0001658401,0.001332041,0.0001531987],"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":[0.0000709941,0.0001448613,0.000055902,0.00008924586,0.00003299239,0.000002267003,0.00006891069,0.000005656353,0.8411814,0.009259138,0.002463843,0.1466248],"study_design_scores_gemma":[0.0006710464,0.0002380412,0.0007939404,0.0005254044,0.0000718613,0.00003255012,0.0000401306,0.03145231,0.9593531,0.006168704,0.0002789105,0.0003739356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493982,0.000009313995,0.02346825,0.00331126,0.0003174629,0.0009455112,0.00004631538,0.0005723395,0.0219313],"genre_scores_gemma":[0.6839002,0.00001300578,0.3151541,0.0001959222,0.0001705213,0.0000950911,9.781222e-7,0.00003414803,0.000435938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916859,"threshold_uncertainty_score":0.6933532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041344907479455,"score_gpt":0.2419891075239956,"score_spread":0.221575658449201,"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."}}