{"id":"W2103636088","doi":"10.1109/lsp.2003.813679","title":"Speech probability distribution","year":2003,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":298,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Decorrelation; Generalized gamma distribution; Distribution (mathematics); Marginal distribution; Mathematics; Generalized integer gamma distribution; Speech processing; Speech recognition; Probability distribution; Multivariate statistics; Gaussian; Gamma distribution; Multivariate normal distribution; Joint probability distribution; Discrete cosine transform; Computer science; Random variable; Statistics; Artificial intelligence; Mathematical analysis; Physics","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":[0.0005768498,0.0002164852,0.0001833769,0.00005823473,0.0003671476,0.0005276593,0.0005813432,0.0000702182,0.00001711584],"category_scores_gemma":[0.00006231927,0.0002005367,0.00007622961,0.0006520365,0.0001152195,0.001075912,0.00003430084,0.0002472724,0.00005568169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272374,"about_ca_system_score_gemma":0.000185574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003947673,"about_ca_topic_score_gemma":9.25834e-7,"domain_scores_codex":[0.9980541,0.00009933966,0.0002900884,0.0005912965,0.0004378665,0.0005273426],"domain_scores_gemma":[0.9992315,0.00004418849,0.0001536482,0.0003182048,0.000116873,0.0001355525],"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":[0.00001344843,0.0001937537,0.001860918,0.0002396395,0.00001845279,0.0001003937,0.0004105406,0.0007185754,0.4808607,0.0008887757,0.005330619,0.5093642],"study_design_scores_gemma":[0.0004396213,0.00004855947,0.0005865929,0.0001232565,0.00001223343,0.00014161,0.00001391932,0.003454244,0.9770061,0.01131987,0.006302535,0.000551411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.167688,0.00014093,0.8288153,0.001867329,0.0002162329,0.0001262275,0.000001733291,0.0003115462,0.0008327315],"genre_scores_gemma":[0.9194753,0.000001028907,0.07819356,0.0021524,0.0001057702,0.00001378759,0.000003409973,0.00001276179,0.00004196817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7517873,"threshold_uncertainty_score":0.8177651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804183266396142,"score_gpt":0.2324819737331489,"score_spread":0.2144401410691875,"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."}}