{"id":"W2051943574","doi":"10.1109/ccece.2014.6901024","title":"Robust identity verification based on human acoustic signature with BioHashing","year":2014,"lang":"en","type":"article","venue":"","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Biometrics; Spoofing attack; Robustness (evolution); Random projection; Speech recognition; Modalities; Pattern recognition (psychology); Artificial intelligence; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005285752,0.00009961963,0.00008917028,0.0003157719,0.0002384366,0.0004569721,0.0006944925,0.00007698414,0.00005956102],"category_scores_gemma":[0.00007480456,0.00007831019,0.00003089341,0.00125079,0.00003577256,0.0005598288,0.00003906979,0.000151746,0.00009246902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429202,"about_ca_system_score_gemma":0.00002758523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004203323,"about_ca_topic_score_gemma":0.00006601951,"domain_scores_codex":[0.9988367,0.00007926874,0.0001410239,0.0003781934,0.0004124717,0.0001523223],"domain_scores_gemma":[0.9989706,0.00007280462,0.00008499247,0.0006761415,0.0001203092,0.00007512359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002167129,0.0007913265,0.002073493,0.0001004358,0.00002607935,0.000007023359,0.000454487,0.01624521,0.03181443,0.9158583,0.009109158,0.02349837],"study_design_scores_gemma":[0.0005445222,0.0001618839,0.03755859,0.00002320603,0.000009949178,0.000002098863,0.00001998901,0.9528229,0.004032542,0.00112746,0.003404717,0.000292183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009002706,0.000005823738,0.9850937,0.0007670383,0.0001673441,0.0001070906,9.475552e-7,0.0002365625,0.004618795],"genre_scores_gemma":[0.9766585,5.130826e-7,0.02209927,0.0008022144,0.00003895774,0.000006621521,0.00001381646,0.000005635268,0.0003745086],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9676558,"threshold_uncertainty_score":0.4406593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951834371716598,"score_gpt":0.2632471823904322,"score_spread":0.2237288386732662,"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."}}