{"id":"W4382862298","doi":"10.3390/electronics12132887","title":"Review of Advances in Speech Processing with Focus on Artificial Neural Networks","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Focus (optics); Computer science; Speech processing; Artificial neural network; Hidden Markov model; Coding (social sciences); Artificial intelligence; Speech recognition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007334903,0.0007799036,0.0007391513,0.002083158,0.0003127562,0.001048373,0.0008951525,0.001033851,0.005268324],"category_scores_gemma":[0.00203931,0.0003431608,0.0004016039,0.002848385,0.0005566317,0.001944019,0.000533191,0.001223522,0.002630944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006267056,"about_ca_system_score_gemma":0.0009504325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001079683,"about_ca_topic_score_gemma":0.001511429,"domain_scores_codex":[0.9996092,0.000070329,0.00006235713,0.00007076421,0.0001663798,0.00002108315],"domain_scores_gemma":[0.9985682,0.0008809643,0.00008625977,0.00003863843,0.0003873006,0.00003857172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006608532,0.00006503588,0.0002978538,0.01382933,0.00008208035,0.0001399202,0.00009579177,0.001497613,0.002163471,0.01541417,0.04278102,0.9235675],"study_design_scores_gemma":[0.000006094183,0.00009363369,0.001119808,0.005269754,0.00008656902,0.0005389955,0.00007955277,0.0009972418,0.00103302,0.0091454,0.9815958,0.00003406315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003810802,0.9896639,0.002959483,0.001063263,0.001195157,0.000009943973,0.00004669983,0.00002867082,0.00465185],"genre_scores_gemma":[0.002123719,0.9916595,0.00242563,0.0004927045,0.00141686,0.00001200564,0.00007880588,0.00001339458,0.001777398],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005268324,"threshold_uncertainty_score":0.01762432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198451927513029,"score_gpt":0.2754517902035622,"score_spread":0.2556065974522593,"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."}}