{"id":"W2095886235","doi":"10.1109/ccece.2007.402","title":"Recognition of Phonemes In a Continuous Speech Stream By Means of PARCOR Parameter In LPC Vocoder","year":2007,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Speech recognition; Linear predictive coding; Computer science; Speech coding; Vowel; Speech processing; Linear prediction; Classifier (UML); Pattern recognition (psychology); Artificial intelligence","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":[0.0002665381,0.0003721485,0.0004102965,0.0005501088,0.0001416721,0.0004203239,0.0003320761,0.0004272806,0.002411699],"category_scores_gemma":[0.0006453644,0.0001341072,0.0001905332,0.000388114,0.0001378744,0.0004033713,0.000183105,0.0003149852,0.001402381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037543,"about_ca_system_score_gemma":0.0001854954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005330319,"about_ca_topic_score_gemma":0.00103864,"domain_scores_codex":[0.9997372,0.00002754675,0.0000129109,0.00006894361,0.0001305628,0.00002277156],"domain_scores_gemma":[0.9997314,0.00008674292,0.0000249883,0.00003282314,0.0001137114,0.00001034825],"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":[0.0003246948,0.0001125738,0.003039339,0.0003364733,0.00003481754,0.0003936244,0.0001716498,0.00285737,0.4600583,0.0009647207,0.003270386,0.5284362],"study_design_scores_gemma":[0.0001041318,0.001268072,0.05751083,0.0001332497,0.0002078362,0.003749415,0.000333227,0.3679998,0.5363895,0.001705131,0.03046734,0.0001313751],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1574729,0.0007706669,0.8302553,0.0001249145,0.0001595084,0.0002549828,0.0009406205,0.004329239,0.005691838],"genre_scores_gemma":[0.4021513,0.0008594156,0.5878583,0.0001510101,0.0001194747,0.0003022305,0.001624411,0.0002115665,0.006722379],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002411699,"threshold_uncertainty_score":0.008067906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647704234179475,"score_gpt":0.253744287015531,"score_spread":0.2372672446737362,"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."}}