{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002103159,0.0001203696,0.0001160384,0.0007577628,0.00002977768,0.0001690708,0.0003037164,0.0001530291,0.001796527],"category_scores_gemma":[0.00005222891,0.0001083081,0.00002976908,0.0005911164,0.0000267344,0.0001790112,0.00005801856,0.00005255814,0.003650328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001691699,"about_ca_system_score_gemma":0.00001194706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005331487,"about_ca_topic_score_gemma":0.00001187909,"domain_scores_codex":[0.9991907,0.00003593946,0.0001462338,0.0003090373,0.0001867997,0.0001312739],"domain_scores_gemma":[0.999227,0.00004442423,0.0001457705,0.0004692123,0.0000343251,0.00007929371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.381842e-7,0.00003855191,0.00008712123,0.0000258889,0.00001804349,4.712759e-7,0.00003212425,2.211166e-9,0.0003073539,0.009094944,0.3363657,0.6540295],"study_design_scores_gemma":[0.00005886202,0.000003692906,0.001616318,0.00001577524,0.00001198201,0.000008403271,0.000007586047,0.0002427985,0.001024318,0.0001940099,0.9966402,0.0001760275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006473076,0.0007203032,0.3247443,0.0002270161,0.0005168417,0.0001372769,0.000006204817,0.0003592271,0.6732824],"genre_scores_gemma":[0.0009737273,0.0005288307,0.08514604,0.000186069,0.0001889771,0.00001958148,0.00002508885,0.00009031524,0.9128414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6602746,"threshold_uncertainty_score":0.9991159,"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."}}