{"id":"W4220813689","doi":"10.18280/ts.390108","title":"A Modified Ultraspherical Window and Its Application for Speech Enhancement","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Window function; Chebyshev filter; Algorithm; Filter (signal processing); Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000302961,0.0001056962,0.0001119269,0.00003602472,0.0003368779,0.00007294146,0.000351191,0.00001651885,0.00008643238],"category_scores_gemma":[0.000005820059,0.0001069882,0.00003693231,0.0001881126,0.00001280065,0.0001862344,0.0001224322,0.00007744965,0.000004464363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006193831,"about_ca_system_score_gemma":0.00005071882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002626036,"about_ca_topic_score_gemma":6.706534e-7,"domain_scores_codex":[0.9988635,0.00002849929,0.0001895076,0.0003603673,0.0003179641,0.0002402215],"domain_scores_gemma":[0.9996357,0.00004774145,0.00008278042,0.0001216625,0.00003898072,0.00007312821],"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":[0.00007080624,0.0003221923,0.0001092135,0.00005012206,0.00002905601,0.000004988223,0.0007050104,0.001134654,0.5713294,0.007190254,0.0005519743,0.4185023],"study_design_scores_gemma":[0.002266848,0.0007884667,0.0006584054,0.00001135007,0.0000213964,0.00003659636,0.0001217431,0.1995705,0.7757489,0.005138719,0.01521469,0.0004223722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1845523,0.0001777555,0.8132476,0.001011876,0.00006186848,0.0005771958,0.000005803167,0.00007253666,0.0002931446],"genre_scores_gemma":[0.9722206,0.00000460764,0.02627278,0.0006991613,0.00007909776,0.0005836224,0.00001065889,0.000007275207,0.0001221893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7876683,"threshold_uncertainty_score":0.4362853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788835364176597,"score_gpt":0.2437136636582279,"score_spread":0.2258253100164619,"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."}}