{"id":"W3164145231","doi":"10.1109/ssd52085.2021.9429403","title":"Speaker Identification for Disguised Voices Based on Modified SVM Classifier","year":2021,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Support vector machine; Computer science; Speech recognition; Naive Bayes classifier; Perceptron; Classifier (UML); Speaker identification; Artificial intelligence; Multilayer perceptron; Pattern recognition (psychology); Speaker recognition; Identification (biology); Radial basis function; Speaker diarisation; Arabic; Natural language processing; Machine learning; Artificial neural network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823722,0.00009501836,0.00009820276,0.00005812389,0.0001389755,0.0004309328,0.0003515342,0.0000448785,0.00004135273],"category_scores_gemma":[0.0001210788,0.00008103358,0.00007121725,0.0002853404,0.0000163966,0.0003292099,0.000041325,0.00005215775,0.00006171533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002559682,"about_ca_system_score_gemma":0.0001200475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002166007,"about_ca_topic_score_gemma":0.000009911679,"domain_scores_codex":[0.9989672,0.0000251742,0.0001808211,0.000410683,0.0002155777,0.0002005308],"domain_scores_gemma":[0.9991125,0.0001212579,0.00007225972,0.0004683787,0.0001620932,0.00006354109],"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":[0.0001000166,0.0008633952,0.001004927,0.0002472983,0.0000569031,0.00005097294,0.0005115581,0.004389114,0.3422037,0.07688605,0.03103813,0.542648],"study_design_scores_gemma":[0.0005206777,0.00002499781,0.002168235,0.00002181089,0.000005317092,0.000001271724,0.00002365294,0.3016762,0.6849004,0.004408491,0.006094243,0.0001547286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006095514,0.00003225152,0.972974,0.004427097,0.0003869502,0.0001189092,0.000002359541,0.0001559093,0.01580701],"genre_scores_gemma":[0.8861963,0.000001709429,0.1040227,0.002238231,0.0001103979,0.00003542918,0.00001757737,0.000009322972,0.007368363],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8801008,"threshold_uncertainty_score":0.4155495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181875860152367,"score_gpt":0.2798014935487919,"score_spread":0.2479827349472682,"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."}}