{"id":"W2128977628","doi":"10.1109/aspaa.2007.4392978","title":"Broadband Music: Opportunities and Challenges for Multiple Source Localization","year":2007,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Broadband; Narrowband; Computer science; Multiple signal classification; Beamforming; Subspace topology; Microphone; SIGNAL (programming language); Signal subspace; Parameterized complexity; Microphone array; Algorithm; Acoustics; Speech recognition; Artificial intelligence; Telecommunications; Physics; Noise (video)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002724417,0.00006516754,0.00006716625,0.00005678465,0.0001268214,0.00009428074,0.0001292613,0.00003391631,0.000003743528],"category_scores_gemma":[0.00003417555,0.00005575214,0.00001475803,0.00005234684,0.00002940135,0.0003142025,0.00005458206,0.00002039241,0.000001040277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006394247,"about_ca_system_score_gemma":0.00001669381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000472614,"about_ca_topic_score_gemma":0.00004450687,"domain_scores_codex":[0.9994665,0.000005808054,0.00009879767,0.0001745012,0.00008343993,0.0001709349],"domain_scores_gemma":[0.9996218,0.0001147122,0.00003524498,0.0001110324,0.000049757,0.00006747328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003757965,0.0000140623,0.0002396073,0.00004987115,0.000003668389,0.000001800415,0.001006469,0.00001596129,0.0002795539,0.004649526,0.0005065746,0.9932292],"study_design_scores_gemma":[0.001210385,0.0001473526,0.001300382,0.0000570025,0.000007851931,0.00003929054,0.003688757,0.06986652,0.1603407,0.004439218,0.7584831,0.000419442],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003875652,0.001658074,0.9885004,0.001400985,0.00005782922,0.00008322302,2.938516e-7,0.0001307612,0.004292793],"genre_scores_gemma":[0.8256612,0.0008287703,0.16859,0.002384343,0.0002038442,0.00001066965,0.000004957156,0.00001619569,0.002299991],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9928097,"threshold_uncertainty_score":0.2273506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047535433927906,"score_gpt":0.2617795992806458,"score_spread":0.1570260558878552,"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."}}