{"id":"W2009065571","doi":"10.1155/2012/172625","title":"Multiengine Speech Processing Using SNR Estimator in Variable Noisy Environments","year":2012,"lang":"en","type":"article","venue":"Advances in Acoustics and Vibration","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Estimator; Computer science; Artificial intelligence; Signal processing; Speech recognition; Mathematics; Statistics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009500454,0.0007304699,0.0006121047,0.0005462051,0.0002672457,0.0009723522,0.0007073308,0.0008948083,0.001484122],"category_scores_gemma":[0.002480669,0.0003618237,0.0005465611,0.0003739845,0.0003679623,0.001348028,0.0008207815,0.0006925529,0.00104111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002833453,"about_ca_system_score_gemma":0.0003389156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129806,"about_ca_topic_score_gemma":0.001221465,"domain_scores_codex":[0.9992435,0.0001637285,0.00006060018,0.0002086665,0.0002858042,0.0000377174],"domain_scores_gemma":[0.9992861,0.0003358975,0.00007012827,0.00009446218,0.000184339,0.00002904911],"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":[0.0004549928,0.0001309499,0.002344962,0.0003888925,0.0001526538,0.0009388453,0.0002795677,0.2094999,0.2434289,0.02143049,0.001992494,0.5189573],"study_design_scores_gemma":[0.00002077709,0.0001349916,0.0008815423,0.00002491179,0.00005246195,0.0004249023,0.00002671207,0.9249941,0.06535003,0.002864166,0.005184348,0.00004104843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004471377,0.0001834517,0.9942111,0.00003104025,0.00003829123,0.00001253085,0.00001573187,0.000563743,0.0004726683],"genre_scores_gemma":[0.168355,0.0006361686,0.8277931,0.0001086512,0.0001261069,0.00005515184,0.0001290696,0.0002079692,0.002588812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001484122,"threshold_uncertainty_score":0.005024314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076729916403197,"score_gpt":0.2665742648380403,"score_spread":0.2558069656740083,"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."}}