{"id":"W3147246185","doi":"10.21203/rs.3.rs-16425/v1","title":"WITHDRAWN: A robust speaker recognition based on Data augmentation","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Computer science; Speech recognition; 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":[0.001817687,0.001820674,0.001250862,0.001180325,0.0008854328,0.001716302,0.001784404,0.00206195,0.09935066],"category_scores_gemma":[0.005089397,0.0005752622,0.0008483912,0.0007096363,0.0005620514,0.001900643,0.001450623,0.001927526,0.06270982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005541323,"about_ca_system_score_gemma":0.001433556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003204251,"about_ca_topic_score_gemma":0.002737749,"domain_scores_codex":[0.9986083,0.0002162594,0.0001271238,0.0002984465,0.0006598719,0.00009004051],"domain_scores_gemma":[0.9973086,0.0004443683,0.00006413777,0.0005045558,0.001405751,0.000272711],"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":[0.003094988,0.0002220351,0.0007115391,0.0007965916,0.0001864547,0.0006758058,0.0001443967,0.002856406,0.1305234,0.00733897,0.3882352,0.4652143],"study_design_scores_gemma":[0.0007939052,0.0009172648,0.004382601,0.0001584604,0.0002803602,0.001707971,0.0001135971,0.09237571,0.3163647,0.01545738,0.5672317,0.0002162755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02955982,0.01026021,0.6879418,0.02681333,0.07233204,0.001676653,0.03659784,0.05370609,0.08111224],"genre_scores_gemma":[0.1976508,0.0038035,0.3128453,0.004137436,0.01640166,0.0008444347,0.05972563,0.007193703,0.3973976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09935066,"threshold_uncertainty_score":0.332361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4058160311411746,"score_gpt":0.4244992190633601,"score_spread":0.01868318792218554,"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."}}