{"id":"W3197912330","doi":"10.21437/interspeech.2021-599","title":"MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement","year":2021,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Speech enhancement; Computer science; Speech recognition; Artificial intelligence; Noise reduction","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":[0.001859011,0.002296372,0.0011335,0.0009219254,0.0003476082,0.0008017229,0.001693123,0.001386003,0.006146219],"category_scores_gemma":[0.004161123,0.0004282187,0.0009386645,0.0005209272,0.0005008605,0.001635937,0.001671558,0.001649278,0.002984101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006057295,"about_ca_system_score_gemma":0.0006490861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002771897,"about_ca_topic_score_gemma":0.006425837,"domain_scores_codex":[0.9989876,0.0003588439,0.00005376997,0.0002728353,0.0002348719,0.00009203752],"domain_scores_gemma":[0.9989871,0.000382495,0.00003976637,0.0002921115,0.0002618361,0.00003659675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006688562,0.0002758514,0.001791704,0.0005329709,0.0003408373,0.0002532166,0.0001125622,0.09568132,0.03442585,0.004021854,0.03118492,0.8307101],"study_design_scores_gemma":[0.000135717,0.0006545094,0.002585988,0.00007981073,0.0001139628,0.0006231065,0.00007001456,0.9023221,0.04971916,0.007497192,0.03609857,0.00009986898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05657217,0.00356184,0.887041,0.0005506711,0.0008261288,0.0005016474,0.002834309,0.03464142,0.01347084],"genre_scores_gemma":[0.2838871,0.0009415851,0.6750144,0.001197026,0.0001896728,0.0008140079,0.01283925,0.002815732,0.02230125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006146219,"threshold_uncertainty_score":0.02056116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889896437997837,"score_gpt":0.277745182418337,"score_spread":0.2588462180383586,"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."}}