{"id":"W3049459827","doi":"10.1109/cjece.2020.2970144","title":"Neural Network Music Genre Classification","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Music and Audio Processing","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Spectrogram; Computer science; Artificial neural network; Musical; Artificial intelligence; Speech recognition; Machine learning; Art; Visual arts","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005160421,0.0007294317,0.0005845682,0.001867172,0.0003884631,0.001037833,0.0007770568,0.0007211441,0.005574543],"category_scores_gemma":[0.002074215,0.0002046038,0.0005536809,0.001662302,0.0001946993,0.0008390673,0.0004645178,0.0008333884,0.003134408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005992625,"about_ca_system_score_gemma":0.0003378221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007384907,"about_ca_topic_score_gemma":0.006742534,"domain_scores_codex":[0.9997229,0.00003925214,0.00002278748,0.00007137532,0.00009363962,0.00005007046],"domain_scores_gemma":[0.9996891,0.00008084416,0.00003013853,0.00002799362,0.000152319,0.00001959992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002643158,0.0001819618,0.006366007,0.0001659296,0.0001235024,0.0001321843,0.00004580977,0.06027117,0.0105343,0.001682285,0.01184247,0.9083902],"study_design_scores_gemma":[0.00001706677,0.00007318659,0.005746968,0.00006998722,0.00006047025,0.000134084,0.00007789981,0.9788745,0.004388554,0.002823026,0.007711152,0.00002302611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2924469,0.02119361,0.5786629,0.002501896,0.002890092,0.0004763785,0.00420845,0.00812786,0.08949202],"genre_scores_gemma":[0.827911,0.005816743,0.1213696,0.0005782432,0.00074167,0.0001638093,0.004511855,0.0002047556,0.03870231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007384907,"threshold_uncertainty_score":0.01864874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022962826200411,"score_gpt":0.1746245635508428,"score_spread":0.1543949352888387,"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."}}