{"id":"W4312330812","doi":"10.56828/jser.2022.1.1.3","title":"Voiceprint Recognition based on Machine Learning Methods","year":2022,"lang":"en","type":"article","venue":"Journal of Science and Engineering Research","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Speech recognition; Speaker recognition; Identification (biology); Feature (linguistics); Biometrics; Task (project management); Artificial intelligence; Pattern recognition (psychology); Engineering","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":[0.0004078106,0.0005879096,0.0005718098,0.0009969581,0.0002200528,0.0007121816,0.0007153354,0.0006880265,0.00262625],"category_scores_gemma":[0.001271451,0.0001780829,0.0005896239,0.0007831984,0.0002921823,0.001083019,0.0005244406,0.0008247265,0.001385388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004714401,"about_ca_system_score_gemma":0.0004660011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752854,"about_ca_topic_score_gemma":0.001453276,"domain_scores_codex":[0.9994869,0.00007901119,0.00003150443,0.0001330873,0.0002287964,0.00004074026],"domain_scores_gemma":[0.9996413,0.0001381099,0.00003315003,0.0000552757,0.0001188171,0.00001332805],"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":[0.00007778746,0.00004814206,0.0008091698,0.0001268271,0.00004801409,0.00008315861,0.00002697097,0.06503832,0.01932003,0.007045493,0.002715452,0.9046606],"study_design_scores_gemma":[0.000006564438,0.00003573698,0.0008878703,0.00001820114,0.00001560573,0.0001198958,0.00001001369,0.9763749,0.01194171,0.005552101,0.005018604,0.00001879026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007309984,0.001877836,0.9859257,0.0001911458,0.00011067,0.00003072438,0.00005674992,0.001359527,0.003137614],"genre_scores_gemma":[0.519078,0.003862486,0.4585521,0.0005343515,0.0003698941,0.0001478786,0.0005400128,0.000221474,0.01669383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00262625,"threshold_uncertainty_score":0.008785665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059199732446794,"score_gpt":0.3791078615026312,"score_spread":0.2731878882579518,"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."}}