{"id":"W2155077238","doi":"10.1109/icassp.2005.1415137","title":"Voicing-State Classification of Co-Channel Speech Using Nonlinear State-Space Reconstruction","year":2006,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Voice; Speech recognition; Computer science; A priori and a posteriori; Channel (broadcasting); Nonlinear system; State (computer science); Speech processing; Voice activity detection; Algorithm; Telecommunications; Physics","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":[0.0005290472,0.0005676933,0.0005559328,0.0006335389,0.0002675119,0.0005445604,0.0004426583,0.0004861764,0.00109195],"category_scores_gemma":[0.001679963,0.0001986985,0.0004838633,0.000311087,0.0004229899,0.0006534131,0.0004121935,0.0006754687,0.0006190735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730966,"about_ca_system_score_gemma":0.0003608839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678643,"about_ca_topic_score_gemma":0.001675601,"domain_scores_codex":[0.9996715,0.00007740598,0.00002780915,0.00008444078,0.0001020216,0.00003695135],"domain_scores_gemma":[0.9993185,0.0003148938,0.00007904429,0.00008049414,0.0001832229,0.00002385221],"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":[0.0005958605,0.0001689864,0.006536342,0.0001972109,0.00009750774,0.0001297652,0.0002440579,0.1037697,0.07943662,0.003972151,0.0009507835,0.8039011],"study_design_scores_gemma":[0.000009096801,0.00006485544,0.002872188,0.00001148817,0.00002329041,0.000111464,0.00003346336,0.973424,0.0215312,0.001094605,0.0007984245,0.00002594229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03983291,0.0002049118,0.9584352,0.00005108022,0.00004295549,0.00003440292,0.00004909841,0.0004104339,0.0009390004],"genre_scores_gemma":[0.670953,0.0003012071,0.3254426,0.00004074568,0.00006142593,0.00005831536,0.0003410387,0.0000716024,0.002730077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001678643,"threshold_uncertainty_score":0.00365299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596283852098997,"score_gpt":0.2697830121803841,"score_spread":0.2438201736593942,"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."}}