{"id":"W3163330810","doi":"10.1109/icassp39728.2021.9414189","title":"Combined Differential Beamforming With Uniform Linear Microphone Arrays","year":2021,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"National Key Research and Development Program of China; Israel Science Foundation","keywords":"Beamforming; Microphone; Differential (mechanical device); Microphone array; Acoustics; Computer science; Noise-canceling microphone; Telecommunications; Engineering; Physics; Aerospace engineering; Loudspeaker","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":[0.0006828425,0.001237274,0.000637104,0.0005193915,0.0001792834,0.0005781733,0.0009235,0.0008786542,0.00248424],"category_scores_gemma":[0.001645414,0.0006353717,0.0006847584,0.0008878477,0.0005103617,0.001112116,0.001451955,0.0005721521,0.001377497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002677357,"about_ca_system_score_gemma":0.0002897741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001877224,"about_ca_topic_score_gemma":0.000504075,"domain_scores_codex":[0.9986535,0.0003406156,0.00009639908,0.0003053682,0.0005255634,0.00007842319],"domain_scores_gemma":[0.9991192,0.0003577055,0.0000982892,0.0001160852,0.0002583424,0.00005035724],"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":[0.0005759818,0.0001226019,0.001034242,0.0004757239,0.0001999704,0.0003510594,0.0002065806,0.08380062,0.4570362,0.01590702,0.001726032,0.4385641],"study_design_scores_gemma":[0.0001231858,0.001214183,0.001359534,0.00005768327,0.0001457268,0.001174013,0.00008262353,0.6275659,0.3425796,0.007235559,0.01832024,0.0001417382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00338927,0.00013725,0.9950904,0.00003514809,0.00003267793,0.00002016734,0.00001819078,0.0001696408,0.001107364],"genre_scores_gemma":[0.1275196,0.0004604509,0.8677363,0.0001936088,0.0001005502,0.0001415809,0.0001295382,0.00005692022,0.003661488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00248424,"threshold_uncertainty_score":0.008310556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008703356104023533,"score_gpt":0.2099216481996863,"score_spread":0.2012182920956627,"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."}}