{"id":"W1790563044","doi":"10.1109/ccece.2000.849724","title":"New low rate wavelet models for the recognition of single spoken digits","year":2002,"lang":"en","type":"article","venue":"","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Discrete wavelet transform; Wavelet packet decomposition; Wavelet; Second-generation wavelet transform; Pattern recognition (psychology); Wavelet transform; Artificial intelligence; Computer science; Stationary wavelet transform; Speech recognition; Lifting scheme; Preprocessor; Logarithm; Mathematics","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":[0.0009273703,0.0007578639,0.0005814221,0.0005609831,0.0001559627,0.0008186498,0.001027382,0.000723164,0.001599914],"category_scores_gemma":[0.002046187,0.0003684579,0.0008508182,0.0005377177,0.0002899653,0.001292465,0.0004431921,0.001378641,0.002072002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003904614,"about_ca_system_score_gemma":0.0002965613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182862,"about_ca_topic_score_gemma":0.001701459,"domain_scores_codex":[0.9996805,0.00007297444,0.00002343932,0.00006763737,0.0001292728,0.00002615481],"domain_scores_gemma":[0.9995885,0.0001786589,0.00004020425,0.00006052787,0.0001158745,0.0000162611],"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":[0.000407212,0.0002178306,0.001501316,0.0003104922,0.0001470388,0.0001941787,0.000212078,0.4810678,0.05296279,0.02613039,0.002979992,0.433869],"study_design_scores_gemma":[0.00000540657,0.00004178657,0.0002771585,0.000009282712,0.0000147919,0.00005289546,0.000006492081,0.9928207,0.003214518,0.002211668,0.001333469,0.00001187454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01815786,0.000472294,0.9793652,0.00009973926,0.00008294296,0.00004502946,0.0001088237,0.0004754204,0.00119264],"genre_scores_gemma":[0.4125482,0.002371839,0.5679785,0.0001592455,0.0001683429,0.0003157629,0.0009059548,0.0002875895,0.01526464],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001599914,"threshold_uncertainty_score":0.005352199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09530076978558272,"score_gpt":0.2654003869524411,"score_spread":0.1700996171668583,"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."}}