{"id":"W1971046787","doi":"10.1109/ccece.2006.277799","title":"A New Technique for the Estimation of Jitter and Shimmer of Voiced Speech Signal","year":2006,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Jitter; Speech recognition; Cepstrum; Computer science; Pitch detection algorithm; Vocal tract; SIGNAL (programming language); Amplitude; Speech processing; Physics; Telecommunications","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":[0.0005827797,0.0005540263,0.0005232759,0.001432655,0.0003021377,0.0004866718,0.0005623978,0.0005422553,0.001172764],"category_scores_gemma":[0.001701367,0.0002806502,0.0004760235,0.0009577807,0.0003240226,0.0008645126,0.0005282077,0.0006407789,0.000794557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002480451,"about_ca_system_score_gemma":0.0004753334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007445705,"about_ca_topic_score_gemma":0.001126393,"domain_scores_codex":[0.9994872,0.00005484629,0.00003391431,0.0001259589,0.0002692527,0.00002880489],"domain_scores_gemma":[0.9990976,0.0002753377,0.0001258769,0.00013776,0.0003239299,0.00003946714],"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":[0.0004057258,0.0000459439,0.00158522,0.0003991894,0.0001022031,0.0001849637,0.0001709475,0.005627351,0.3422567,0.003454099,0.0012847,0.6444829],"study_design_scores_gemma":[0.000110211,0.0009331671,0.02016028,0.0001266425,0.0004799965,0.00415294,0.000166755,0.419172,0.5083051,0.003222367,0.04292952,0.0002409614],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01280524,0.000761063,0.9848547,0.00004032594,0.0001307028,0.00003791394,0.00007784045,0.0006880926,0.0006041454],"genre_scores_gemma":[0.1371152,0.0009281652,0.8593714,0.00006126446,0.0002254149,0.000074241,0.0002637806,0.0001662338,0.001794229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001432655,"threshold_uncertainty_score":0.003923237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061784361495701,"score_gpt":0.2469834422480693,"score_spread":0.2363655986331123,"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."}}