{"id":"W4414054670","doi":"10.1109/icmi65310.2025.11141035","title":"Leveraging Deep Learning Methods for Detecting Deepfake Speeches","year":2025,"lang":"en","type":"article","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Bengali; Deep learning; Convolutional neural network; Set (abstract data type); Representation (politics); Domain (mathematical analysis); Scarcity; Data set","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":[0.0007955575,0.001169054,0.0003904445,0.001393205,0.0003410893,0.000820521,0.0006232457,0.0008037309,0.001252058],"category_scores_gemma":[0.002773719,0.0001697324,0.0003557305,0.0005532085,0.0003816528,0.001369316,0.0008315548,0.001161381,0.0007039734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007280914,"about_ca_system_score_gemma":0.0006139942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008691991,"about_ca_topic_score_gemma":0.01308732,"domain_scores_codex":[0.9995654,0.0001034508,0.0000266925,0.0001056043,0.0001083535,0.00009045851],"domain_scores_gemma":[0.9990096,0.0003957132,0.0001429046,0.0001101017,0.0002863101,0.0000553889],"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":[0.0004433847,0.0003248531,0.03230122,0.0002821966,0.000236734,0.0005984521,0.0004229107,0.1323282,0.03182619,0.005199251,0.01079701,0.7852396],"study_design_scores_gemma":[0.000008286468,0.00006709873,0.005633406,0.00003698239,0.00004124185,0.0001157365,0.0001648499,0.9733767,0.01417968,0.003287413,0.003065573,0.00002298515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4796243,0.003384761,0.4936512,0.001797357,0.0005739939,0.0002036331,0.001745958,0.003126862,0.015892],"genre_scores_gemma":[0.9641657,0.0005086824,0.02859258,0.000203756,0.00007418029,0.00002991235,0.0009095831,0.0000368273,0.005478853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008691991,"threshold_uncertainty_score":0.01728278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06441954292606053,"score_gpt":0.4417130961735711,"score_spread":0.3772935532475106,"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."}}