{"id":"W4417170340","doi":"10.1109/nana66698.2025.00033","title":"Design of Speech Enhancement System Based on Microphone Array","year":2025,"lang":"","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Beamforming; Speech enhancement; Microphone array; Microphone; Intelligibility (philosophy); Noise-canceling microphone; Software deployment; Speech processing; Key (lock)","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":[0.0002303343,0.0007810196,0.0004932652,0.0002551871,0.0002575422,0.0003989458,0.0008329473,0.0007712878,0.003157449],"category_scores_gemma":[0.0003295197,0.0003518726,0.0003537641,0.0001700236,0.0001518679,0.0005033718,0.0003699333,0.00031166,0.002470576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771352,"about_ca_system_score_gemma":0.0002855166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003065489,"about_ca_topic_score_gemma":0.0004201369,"domain_scores_codex":[0.9996725,0.00007142061,0.00002243683,0.0001086252,0.00009607532,0.00002896715],"domain_scores_gemma":[0.9998382,0.00003127594,0.00001967504,0.00001371298,0.0000799923,0.00001711652],"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":[0.0003544294,0.00007206068,0.0007707011,0.0004627315,0.000093535,0.0004800096,0.0001591391,0.01542113,0.8150897,0.003662536,0.00309207,0.1603419],"study_design_scores_gemma":[0.0001444766,0.001454515,0.002521884,0.00006690907,0.0001861791,0.002560753,0.0001094758,0.4457844,0.4973845,0.001583686,0.04806505,0.00013818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01362032,0.0004332638,0.9784823,0.0001410337,0.0001644796,0.0001543979,0.00009108869,0.001950065,0.004963025],"genre_scores_gemma":[0.2895418,0.0006821261,0.7012231,0.0003022373,0.0001283916,0.0004323738,0.0001699318,0.0001014387,0.007418628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003157449,"threshold_uncertainty_score":0.01056266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576639001291965,"score_gpt":0.2439619148124092,"score_spread":0.2281955247994895,"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."}}