{"id":"W7152567113","doi":"10.70675/cd07449cz121az45b9zaa1bz82f77086939d","title":"Robustness of neural models for automatic speech processing","year":2025,"lang":"","type":"dissertation","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Speech processing; Deep neural networks","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002947832,0.001344959,0.0008973475,0.0006817731,0.0005525979,0.001856182,0.001337249,0.001421689,0.003082799],"category_scores_gemma":[0.01262975,0.0007040315,0.00120065,0.0004080225,0.0008769011,0.001636921,0.001424733,0.002060531,0.001010882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471684,"about_ca_system_score_gemma":0.001237929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152408,"about_ca_topic_score_gemma":0.007611306,"domain_scores_codex":[0.9987202,0.0004270259,0.00008448539,0.0003736472,0.000251848,0.0001429021],"domain_scores_gemma":[0.9960189,0.002865822,0.0001957074,0.0004336344,0.0004022417,0.00008362766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002543141,0.00003459015,0.001627873,0.0001002848,0.0001523062,0.00005298927,0.00007605361,0.9462952,0.006360778,0.002825556,0.0004826137,0.04173743],"study_design_scores_gemma":[0.000004403347,0.00003296183,0.0006235798,0.00001161456,0.00001315111,0.00001428591,0.00001177134,0.9953243,0.001571969,0.002111423,0.0002699471,0.00001070104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2864585,0.003854774,0.6947798,0.001597653,0.0003667258,0.0001139403,0.0006207649,0.002690339,0.009517578],"genre_scores_gemma":[0.9751312,0.0006404022,0.01996506,0.0001224645,0.00007047988,0.00008614468,0.0004493918,0.0001687438,0.003366181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01152408,"threshold_uncertainty_score":0.02291399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05468512467044811,"score_gpt":0.3027550934825899,"score_spread":0.2480699688121418,"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."}}