{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002751997,0.00009238543,0.0001645317,0.0001976252,0.00007691907,0.00009545586,0.0004637132,0.0000426601,0.00007307166],"category_scores_gemma":[0.0001705538,0.00008114131,0.00007221808,0.00145265,0.00001472343,0.0008366661,0.0001664236,0.00004381101,0.000009343468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003695938,"about_ca_system_score_gemma":0.0001362788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001782014,"about_ca_topic_score_gemma":0.000008326439,"domain_scores_codex":[0.9989564,0.0000186243,0.0002069696,0.0003562095,0.0002353531,0.0002263792],"domain_scores_gemma":[0.9990039,0.0000732656,0.00009458612,0.0004037042,0.0003357946,0.00008870047],"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":[0.000007607103,0.0001663849,0.00007339854,0.0000402393,0.00001754855,0.000004537415,0.00005995542,0.000002305246,0.5864092,0.0008445837,0.0006556853,0.4117186],"study_design_scores_gemma":[0.0004509249,0.0002220778,0.00008525584,0.000008756637,0.000008066583,0.000004500686,0.00006503679,0.005472445,0.9882699,0.0009335699,0.004370999,0.0001084857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04783833,0.0002927719,0.94858,0.0005270033,0.0003463865,0.0001239394,0.00000179158,0.00006362697,0.002226161],"genre_scores_gemma":[0.3073774,0.00001670067,0.6906914,0.0003528167,0.00004458169,0.000005658306,0.000008012736,0.000005782459,0.001497699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4116101,"threshold_uncertainty_score":0.3308847,"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."}}