{"id":"W2405044261","doi":"10.5281/zenodo.1178789","title":"Unsounding Objects: Audio Feature Extraction For The Control Of Sound Synthesis","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Feature extraction; Audio analyzer; Sound recording and reproduction; Audio signal; Digital audio; Speech recognition; Sound (geography); Percussion; Audio signal processing; Feature (linguistics); Interface (matter); Artificial intelligence; Acoustics; Speech coding","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":[0.0004192275,0.0006296244,0.0004782754,0.0006602436,0.0002825163,0.0007934013,0.0007561121,0.0004991928,0.003254825],"category_scores_gemma":[0.001201428,0.0002337292,0.000324802,0.0003847481,0.0004175348,0.0007413861,0.0006564395,0.0003968327,0.001077114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002164268,"about_ca_system_score_gemma":0.00028502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004602835,"about_ca_topic_score_gemma":0.0007143677,"domain_scores_codex":[0.9994215,0.00004468418,0.00003495191,0.0001366206,0.0003099882,0.00005231649],"domain_scores_gemma":[0.9995241,0.000203592,0.00005895471,0.00006585761,0.0001174301,0.00003000583],"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":[0.0004540722,0.00006829864,0.000549669,0.0001038884,0.00002663632,0.0001587207,0.0001207681,0.002864003,0.6170164,0.001125744,0.0004890037,0.3770229],"study_design_scores_gemma":[0.0001103252,0.0006385759,0.005523527,0.00001932259,0.00007203882,0.0005932619,0.00007272739,0.1128994,0.8630311,0.001366976,0.01561038,0.00006242704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06761393,0.0002657727,0.9277835,0.00005595161,0.00004213259,0.00009356755,0.0001528854,0.002132821,0.001859503],"genre_scores_gemma":[0.2782747,0.0001978991,0.7159618,0.00004526417,0.00004062406,0.0001179172,0.0004039449,0.00036971,0.004588258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003254825,"threshold_uncertainty_score":0.01088852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463995503855543,"score_gpt":0.2425694937874553,"score_spread":0.2179295387488999,"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."}}