{"id":"W2082488947","doi":"10.1155/2009/540409","title":"Alternative Speech Communication System for Persons with Severe Speech Disorders","year":2009,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation; Université de Moncton","keywords":"Intelligibility (philosophy); Computer science; Dysarthria; Speech recognition; PESQ; Speech synthesis; PSQM; Voice activity detection; Perception; Speech processing; Speech communication; Speech technology; Speech enhancement; Artificial intelligence; Audiology; Psychology; Linguistics; Medicine","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":[0.0002786421,0.0003844892,0.000439731,0.0003063701,0.0002771895,0.0003125768,0.0003609496,0.0005534556,0.006968334],"category_scores_gemma":[0.0004887476,0.0000889134,0.0002217428,0.0001224272,0.000127844,0.0002702954,0.0004157519,0.0002424972,0.002457316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459476,"about_ca_system_score_gemma":0.0001927289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000503095,"about_ca_topic_score_gemma":0.0008050078,"domain_scores_codex":[0.9998381,0.00004882105,0.0000158988,0.00003917453,0.0000406863,0.00001738333],"domain_scores_gemma":[0.9997942,0.00005922352,0.00001483553,0.00002319385,0.00008172962,0.00002689477],"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":[0.002719442,0.000286844,0.005857662,0.0007514214,0.0001032846,0.002726886,0.0009388899,0.001370291,0.3846144,0.001872177,0.01121155,0.5875471],"study_design_scores_gemma":[0.001849134,0.0110151,0.09914283,0.0003744445,0.001316821,0.05428798,0.002757604,0.1475366,0.5184284,0.003175721,0.1597354,0.0003798385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6885898,0.002478601,0.2889054,0.0006963857,0.0005148502,0.0004835454,0.00123401,0.00704307,0.01005435],"genre_scores_gemma":[0.8794567,0.0006714865,0.1053736,0.0003737177,0.0001247188,0.0004668022,0.001425987,0.00008181808,0.01202507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006968334,"threshold_uncertainty_score":0.02331144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985582183790821,"score_gpt":0.2904018645717373,"score_spread":0.2705460427338291,"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."}}