{"id":"W3126967250","doi":"10.1109/sped53181.2021.9587406","title":"Synthetic Speech Detection Using Neural Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Artificial neural network; Speech recognition; Voice activity detection; Artificial intelligence; Speech processing","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":[0.0001127851,0.00007377643,0.00008577819,0.00004883341,0.0001012039,0.0001746812,0.0001750402,0.00004774908,0.0003312378],"category_scores_gemma":[0.00005580196,0.00006887226,0.00006677101,0.0003601753,0.00001309732,0.0002240316,0.00009018123,0.00007848272,0.00005312273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002582838,"about_ca_system_score_gemma":0.00001941264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001977867,"about_ca_topic_score_gemma":0.00003588026,"domain_scores_codex":[0.9992394,0.00007354858,0.0001192534,0.0002583241,0.0001337442,0.0001757706],"domain_scores_gemma":[0.999458,0.00007528934,0.00002737259,0.0002960409,0.00008030989,0.00006295361],"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":[0.00000115785,0.00002700905,0.00006086157,0.00000217342,0.000007712436,0.0001010036,0.00001658935,0.0005820213,0.004765629,0.0006853046,0.00002794822,0.9937226],"study_design_scores_gemma":[0.00005589365,0.000006654202,0.0001735925,0.000005049787,0.000004386899,0.0004321595,0.0000197215,0.899025,0.09951149,0.0003537589,0.0003210828,0.00009120937],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1102762,0.00004521331,0.8821992,0.0002500687,0.00058117,0.0000344198,1.411188e-7,0.0001804384,0.006433115],"genre_scores_gemma":[0.9136204,0.000006241336,0.08536513,0.0005489718,0.00008147686,0.000001758313,3.428422e-7,0.000005739071,0.0003699312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9936314,"threshold_uncertainty_score":0.3626821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145364228393113,"score_gpt":0.2469382779964581,"score_spread":0.215484635712527,"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."}}