{"id":"W2620753270","doi":"","title":"Multiframe Echo Suppression Based on Orthogonal Signal Decompositions.","year":2016,"lang":"en","type":"article","venue":"ITG Symposium of Speech Communication","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Echo (communications protocol); SIGNAL (programming language); Computer science; Computer vision; Artificial intelligence; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002999553,0.0007057465,0.0003515951,0.0003447552,0.0001804804,0.0004038488,0.0003630166,0.0005872093,0.002899244],"category_scores_gemma":[0.001044121,0.0001870501,0.0003779248,0.0004493248,0.000275074,0.0009137879,0.0006742683,0.0006448615,0.001175614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042557,"about_ca_system_score_gemma":0.0002414661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002798116,"about_ca_topic_score_gemma":0.0007506165,"domain_scores_codex":[0.9998166,0.00005334846,0.000009419688,0.00002431696,0.00007588958,0.00002041391],"domain_scores_gemma":[0.9996349,0.000165929,0.00003511448,0.00004776562,0.00009100111,0.00002519626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006672419,0.000130848,0.0005486928,0.0003159211,0.00008271589,0.000218191,0.0001227107,0.01705805,0.5526772,0.02084318,0.003471259,0.4038641],"study_design_scores_gemma":[0.00007511704,0.0003872016,0.001688514,0.00008775658,0.00009093063,0.0009980497,0.00007984911,0.7078445,0.2622878,0.009581409,0.01682388,0.00005494223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02439976,0.001209898,0.9686629,0.0001638687,0.0001366377,0.00003042764,0.00009471463,0.0003844547,0.004917336],"genre_scores_gemma":[0.2772564,0.001472695,0.7129693,0.0001651878,0.0001315937,0.00006391514,0.0004556625,0.0001390327,0.007346156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002899244,"threshold_uncertainty_score":0.009698987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094861190163955,"score_gpt":0.2515726131333239,"score_spread":0.2406240012316843,"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."}}