{"id":"W1529062431","doi":"10.1002/9781118561911.ch7","title":"Voice Biometrics: Speaker Verification and Identification","year":2012,"lang":"en","type":"other","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec; Université de Moncton; Université du Québec à Montréal","funders":"","keywords":"Speaker recognition; Biometrics; Speech recognition; Speaker identification; Computer science; Speaker verification; Identification (biology); Artificial intelligence","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":[0.001050112,0.001277684,0.00131302,0.002279943,0.0007132571,0.002143727,0.001215596,0.001560258,0.0359708],"category_scores_gemma":[0.002240503,0.0006091595,0.0004741731,0.00318774,0.0005768921,0.002083771,0.001070882,0.001030649,0.04867937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005617662,"about_ca_system_score_gemma":0.0007969418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559269,"about_ca_topic_score_gemma":0.002022763,"domain_scores_codex":[0.9985185,0.0002108757,0.0001151218,0.0002410307,0.0008421484,0.0000723644],"domain_scores_gemma":[0.9985625,0.0003619317,0.00006466809,0.000197393,0.0007779804,0.00003553936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005862106,0.00004363694,0.0002524669,0.0007275786,0.00002561443,0.00007575183,0.0000777504,0.001086813,0.01062066,0.004569944,0.07391222,0.908549],"study_design_scores_gemma":[0.00001862672,0.0001976158,0.003774294,0.0006587871,0.00007913746,0.001395709,0.000162198,0.01150245,0.04128213,0.008376617,0.9324585,0.00009406485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007113396,0.1073067,0.7086012,0.002020998,0.006461862,0.0006473804,0.002910618,0.01004709,0.1548907],"genre_scores_gemma":[0.05014149,0.1320839,0.2477381,0.001260799,0.004986099,0.0008684701,0.01131236,0.002571312,0.5490375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0359708,"threshold_uncertainty_score":0.1203343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540264277024006,"score_gpt":0.2491342752505588,"score_spread":0.2237316324803187,"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."}}