{"id":"W2133867310","doi":"10.1109/ccece.2004.1347698","title":"Probability distribution of speech signal spectral envelope","year":2004,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Rayleigh distribution; Spectral density; Probability density function; Gaussian; Gaussian process; Probability distribution; Formant; Mathematics; Speech recognition; Stochastic process; Spectral envelope; Statistical physics; Physics; Computer science; Statistics","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":[0.0001844156,0.00007006418,0.00009503219,0.00001889845,0.00004906847,0.00004952854,0.0003493147,0.00003093057,0.00003660751],"category_scores_gemma":[0.00002756158,0.00005715071,0.00004110138,0.0002962639,0.00004787582,0.00034306,0.00007845749,0.00006305889,0.00002503984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006946182,"about_ca_system_score_gemma":0.0001537831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003278233,"about_ca_topic_score_gemma":0.00001056453,"domain_scores_codex":[0.9992353,0.00001113967,0.0001656017,0.0002129913,0.0001917309,0.0001831953],"domain_scores_gemma":[0.9996034,0.00001257057,0.000052558,0.0002072127,0.00007097655,0.00005326479],"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":[0.00003310797,0.0006572836,0.01483576,0.0001653241,0.00003453115,0.0000525947,0.0007262426,0.001198888,0.130215,0.246223,0.0005234756,0.6053348],"study_design_scores_gemma":[0.0002028494,0.00005535063,0.01124056,0.00001270912,0.000001340378,0.00001526356,0.000004687895,0.0001140054,0.8953875,0.09272253,0.000163876,0.00007937459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3406945,0.00001700178,0.6554789,0.0008181274,0.0000429561,0.00006238727,0.000001345574,0.00008184725,0.002802914],"genre_scores_gemma":[0.7963637,0.000001068123,0.203512,0.00003904413,0.00003321761,0.000001259225,0.000002822009,0.00000152007,0.00004533582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7651725,"threshold_uncertainty_score":0.2330538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031809773454221,"score_gpt":0.2335022516738192,"score_spread":0.213184153939277,"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."}}