{"id":"W4285813846","doi":"10.1109/iwcmc55113.2022.9824220","title":"A Study Of Voiceprint Recognition Technology Based on Deep Learning","year":2022,"lang":"en","type":"article","venue":"2022 International Wireless Communications and Mobile Computing (IWCMC)","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Realization (probability); Process (computing); Facial recognition system; Artificial intelligence; Feature extraction","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":[0.000606763,0.0001264006,0.0001856207,0.0005953676,0.0006997078,0.00007205967,0.001713989,0.00003670033,0.0001280561],"category_scores_gemma":[0.0000758708,0.0001433991,0.00006169466,0.0005909262,0.00007344,0.00008784966,0.001893699,0.0004969248,0.00001034534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009811569,"about_ca_system_score_gemma":0.00003763534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004942478,"about_ca_topic_score_gemma":0.00002052036,"domain_scores_codex":[0.9983492,0.0003713864,0.0003938118,0.000352524,0.0003898041,0.0001432129],"domain_scores_gemma":[0.9980754,0.0005119541,0.0002925194,0.0008519183,0.000226082,0.00004208969],"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":[0.00001648567,0.001636514,0.003796165,0.000005772539,0.00005802401,0.000006540405,0.001405254,0.005179109,0.0003918872,0.003840754,0.00002044125,0.9836431],"study_design_scores_gemma":[0.0008061608,0.000720098,0.002249039,0.00003742019,0.00001248384,0.00003429749,0.005308506,0.9837009,0.0003247623,0.0006445482,0.00595928,0.0002024566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542909,0.0001235236,0.0403477,0.001076204,0.0002842156,0.0004712844,0.000006973676,0.0002292582,0.003169933],"genre_scores_gemma":[0.989775,0.00007068257,0.009596607,0.0001468888,0.00001524747,0.0003028187,0.00003946584,0.00001218618,0.00004107434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9834406,"threshold_uncertainty_score":0.5847646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877269869195719,"score_gpt":0.285629063645942,"score_spread":0.2568563649539848,"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."}}