{"id":"W7064186579","doi":"","title":"Binaural Beamformer: An early Proof of Concept for Wearables Audio Devices","year":2023,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Indian Council of Agricultural Research","keywords":"Microphone; Binaural recording; Intelligibility (philosophy); Wearable computer; Proof of concept; Noise reduction; Noise-canceling microphone; Noise (video)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002895507,0.001572592,0.0008940895,0.0006781924,0.0002969053,0.001562832,0.001410861,0.002094874,0.01105045],"category_scores_gemma":[0.002794332,0.0005463345,0.0006709903,0.0005457579,0.0007724708,0.002006046,0.0014815,0.001590274,0.005581177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005002338,"about_ca_system_score_gemma":0.001140849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006197111,"about_ca_topic_score_gemma":0.0007806612,"domain_scores_codex":[0.9977793,0.0004531114,0.00008003599,0.0002543648,0.001285133,0.0001481455],"domain_scores_gemma":[0.997985,0.0003815021,0.000156251,0.000171338,0.001098121,0.000207897],"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":[0.0008117132,0.000458552,0.001115382,0.001884574,0.0002725278,0.0008853706,0.0005255925,0.005544004,0.6438068,0.02274856,0.02289439,0.2990526],"study_design_scores_gemma":[0.0003872828,0.005381418,0.002942908,0.000626798,0.0002763112,0.004282647,0.0003205159,0.03480305,0.632489,0.005735425,0.3124609,0.000293744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01133386,0.004080052,0.9639012,0.001646784,0.001753791,0.0006241809,0.0005324378,0.002857788,0.01326984],"genre_scores_gemma":[0.1307498,0.006757859,0.8265907,0.002436048,0.0003923177,0.0007762956,0.0007562028,0.0005514785,0.03098939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01105045,"threshold_uncertainty_score":0.0369674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281026553671588,"score_gpt":0.2542930822151795,"score_spread":0.2314828166784637,"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."}}