{"id":"W2013135134","doi":"10.1109/jproc.2013.2251592","title":"Acoustic Analysis for Automatic Speech Recognition","year":2013,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Speech recognition; Speech processing; Robustness (evolution); Voice activity detection","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":[0.0002115525,0.00009079777,0.0001659593,0.0001326986,0.0001141597,0.0001953011,0.0007576717,0.00003986508,0.0000175297],"category_scores_gemma":[0.0001601359,0.00006276399,0.0001507793,0.0009458613,0.00003153255,0.0007300124,0.00007210723,0.00005939919,0.00002451125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002265486,"about_ca_system_score_gemma":0.00002223481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001147082,"about_ca_topic_score_gemma":0.000001402086,"domain_scores_codex":[0.9991791,0.00000224529,0.0002049126,0.0002048606,0.0002108907,0.0001979917],"domain_scores_gemma":[0.9991559,0.00005268153,0.0002298622,0.0001166944,0.0004029409,0.00004191605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004104084,0.00009759572,0.004621675,0.0004835222,0.0003089909,1.560584e-7,0.0005722074,0.0000498892,0.5512291,0.00008247288,0.009015774,0.4335345],"study_design_scores_gemma":[0.0001654602,0.00003676469,0.00453142,0.00006836482,0.0001755273,0.000005917856,0.0000577653,0.07773695,0.8916107,0.0254539,0.00002686068,0.0001303342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386779,0.00002525831,0.05853527,0.001026087,0.0001951807,0.0003665252,0.000001776441,0.0001232946,0.001048691],"genre_scores_gemma":[0.8357329,0.000001941049,0.1637581,0.0001699586,0.00005549431,0.00005247169,3.096871e-7,0.000005907453,0.0002229698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4334042,"threshold_uncertainty_score":0.2559441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097961416185693,"score_gpt":0.2362753138151162,"score_spread":0.2152956996532593,"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."}}