{"id":"W2346158549","doi":"10.1121/1.4950071","title":"Differential beamforming with circular microphone arrays","year":2016,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Beamforming; Microphone; Microphone array; Acoustics; Directivity; Differential (mechanical device); Noise-canceling microphone; Computer science; White noise; Broadband; Circular buffer; Noise (video); Physics; Loudspeaker; Telecommunications; Antenna (radio)","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":[0.0004769887,0.0007971309,0.0004859173,0.0003536693,0.0002434277,0.0005835649,0.0005633013,0.0009102703,0.002656553],"category_scores_gemma":[0.001985347,0.0005956545,0.0004324401,0.0006755712,0.0005627193,0.001192005,0.001128458,0.0004865558,0.001535365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003719453,"about_ca_system_score_gemma":0.0003158829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003980209,"about_ca_topic_score_gemma":0.0006521732,"domain_scores_codex":[0.9992079,0.0001956242,0.00006351368,0.0002155035,0.0002606722,0.00005691512],"domain_scores_gemma":[0.9989725,0.0004319128,0.0001086016,0.0001118968,0.0003288675,0.00004617657],"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":[0.0005446777,0.00006407399,0.001184213,0.0005377938,0.00009028292,0.0005080936,0.0002925951,0.07459518,0.4575417,0.04095123,0.003407297,0.4202829],"study_design_scores_gemma":[0.0001502488,0.0007764641,0.002181554,0.000137375,0.0001283499,0.002455275,0.0002132967,0.6423813,0.2789716,0.02657911,0.04581628,0.0002093023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005133252,0.0003261636,0.9912761,0.0001084895,0.00006831919,0.00001777518,0.00003106405,0.0002071675,0.002831629],"genre_scores_gemma":[0.1871589,0.001498325,0.8045092,0.0005140151,0.0001683156,0.0001300741,0.0002128536,0.00008930924,0.00571912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002656553,"threshold_uncertainty_score":0.008887053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00733828774937224,"score_gpt":0.2096096331731442,"score_spread":0.202271345423772,"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."}}