{"id":"W4405845924","doi":"10.1109/wifs61860.2024.10810699","title":"Efficient Audio Deepfake Detection using WavLM with Early Exiting","year":2024,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Speech recognition","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001912109,0.000102111,0.00007958143,0.0001018717,0.0001972597,0.0005997311,0.0001817213,0.00003164199,0.00001513798],"category_scores_gemma":[0.000006909516,0.00007382722,0.00003108441,0.0005492189,0.00002579268,0.0002475337,0.00008772384,0.0001139209,0.00003907691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005608792,"about_ca_system_score_gemma":0.00007196968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005026164,"about_ca_topic_score_gemma":0.00001023467,"domain_scores_codex":[0.9990571,0.00001711445,0.0001227373,0.0003452841,0.000223429,0.0002343675],"domain_scores_gemma":[0.9996715,0.00003158072,0.00003103914,0.0001723192,0.00004046968,0.00005315949],"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":[0.000009306525,0.0000413349,0.0003050254,0.0002121226,0.00004493888,0.0001793646,0.004051453,0.02523736,0.04881569,0.01698458,0.00006200937,0.9040568],"study_design_scores_gemma":[0.00007117184,0.00003878455,0.0003255334,0.0001627772,0.000007362991,0.00008936171,0.00003625345,0.9778857,0.02055621,0.0002473403,0.0004342071,0.0001453247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4064858,0.00009586751,0.5896226,0.0001036629,0.000194901,0.00003669682,6.487532e-8,0.000293129,0.003167259],"genre_scores_gemma":[0.9367244,4.052668e-7,0.06272364,0.0001701158,0.0001172344,0.000002439275,8.751019e-8,0.000009862517,0.0002518248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9526483,"threshold_uncertainty_score":0.5783221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717504615658824,"score_gpt":0.2342154354562108,"score_spread":0.2170403892996226,"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."}}