{"id":"W3163652268","doi":"10.1109/icassp39728.2021.9413901","title":"Attention Is All You Need In Speech Separation","year":2021,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":613,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Computer science; Recurrent neural network; Transformer; Computation; Artificial intelligence; Upsampling; Speech recognition; Artificial neural network; Algorithm; Engineering","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":[0.001176412,0.001100404,0.0007726692,0.0004970521,0.0007349776,0.001808155,0.0008183386,0.001809428,0.007157846],"category_scores_gemma":[0.005606715,0.0004758198,0.0005543053,0.000696154,0.001296814,0.004762153,0.002353271,0.002997963,0.004388543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004911974,"about_ca_system_score_gemma":0.0007788827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003444873,"about_ca_topic_score_gemma":0.004890559,"domain_scores_codex":[0.9991783,0.0002069611,0.00004189475,0.0002667262,0.0002047482,0.0001012593],"domain_scores_gemma":[0.9985834,0.0007178515,0.00009157679,0.0002418719,0.0002720028,0.00009329583],"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":[0.0009895031,0.0001020761,0.002245706,0.0005705055,0.0001612421,0.0003521984,0.0005145324,0.01706933,0.05014193,0.02123584,0.02820212,0.878415],"study_design_scores_gemma":[0.0001776115,0.0006394172,0.009242048,0.0004196607,0.0004670309,0.001438556,0.001087626,0.428744,0.1036781,0.3194216,0.1344262,0.0002582313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05327879,0.01215449,0.8931264,0.01396808,0.002058591,0.00009072117,0.0005076876,0.005205812,0.01960946],"genre_scores_gemma":[0.701903,0.01004447,0.2468112,0.007749643,0.002491011,0.0001201511,0.001628203,0.00162655,0.02762575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007157846,"threshold_uncertainty_score":0.02394533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02245504284799524,"score_gpt":0.2955110363863656,"score_spread":0.2730559935383703,"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."}}