{"id":"W7127860883","doi":"","title":"Robustness of neural models for automatic speech processing","year":2025,"lang":"en","type":"article","venue":"theses.fr (ABES)","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; Error analysis","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":[0.000366128,0.0001522769,0.0002938751,0.0002001524,0.0001120728,0.000125178,0.0007829,0.00007207278,0.00003379914],"category_scores_gemma":[0.0001442506,0.0001315221,0.0001188598,0.0004886618,0.00005826327,0.0005124313,0.0001334442,0.00007835083,0.000006844019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003130352,"about_ca_system_score_gemma":0.0001059846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003419688,"about_ca_topic_score_gemma":0.000009680532,"domain_scores_codex":[0.998792,0.0000589718,0.0003318346,0.0003065856,0.0002328877,0.0002777419],"domain_scores_gemma":[0.9988891,0.0003162383,0.0001241151,0.0004228214,0.00019328,0.00005445708],"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":[0.000007430449,0.0001071534,0.00002461884,0.0002787172,0.00002414935,0.000002723853,0.0004716896,0.001897458,0.0004198902,0.02936373,0.000134203,0.9672682],"study_design_scores_gemma":[0.0002940116,0.00002218416,0.0000908331,0.0001897857,0.00002272465,0.000009399383,0.0002395493,0.9691917,0.01735312,0.0122256,0.0002213309,0.0001397683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05112708,0.0001197333,0.920499,0.0006394712,0.0002833482,0.0003880105,0.000005712136,0.0002777526,0.02665993],"genre_scores_gemma":[0.8244815,0.000005376496,0.1750831,0.0001809313,0.00003351248,0.00005134229,0.000001420233,0.00001043897,0.0001523067],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9672942,"threshold_uncertainty_score":0.5363314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123261635679393,"score_gpt":0.2872287094734819,"score_spread":0.245996093116688,"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."}}