{"id":"W1977413534","doi":"10.1121/1.4788442","title":"The tube resonance model speech synthesizer","year":2005,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Acoustics; RADIUS; Resonance (particle physics); Vocal tract; Physics; Tube (container); Acoustic resonance; Scattering; Range (aeronautics); Optics; Materials science; Computer science; Atomic physics","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":[0.0003392647,0.0005529694,0.0004686465,0.0003429299,0.0003142015,0.000722792,0.000711802,0.0009600318,0.01858997],"category_scores_gemma":[0.001128755,0.0003141141,0.0004146895,0.0001808099,0.0002440163,0.0005921383,0.000500735,0.0005758178,0.007870553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002739052,"about_ca_system_score_gemma":0.0004151395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005824369,"about_ca_topic_score_gemma":0.0007501356,"domain_scores_codex":[0.9996561,0.00006337822,0.00001631955,0.00008922722,0.0001514634,0.00002350762],"domain_scores_gemma":[0.9997919,0.00008333712,0.00001217438,0.00003613182,0.00006158181,0.00001480165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001181291,0.0001591442,0.001193489,0.0004741405,0.0001033568,0.001030302,0.0004642205,0.09069196,0.3777205,0.04613037,0.03989619,0.4409551],"study_design_scores_gemma":[0.0001385931,0.0004259042,0.0007502389,0.00003968464,0.00006051382,0.001084549,0.00005133048,0.7459403,0.1328693,0.006626599,0.1119215,0.00009151765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02185763,0.0002637854,0.9327999,0.0001494068,0.0001733607,0.0002095252,0.001116968,0.0244913,0.01893802],"genre_scores_gemma":[0.3399074,0.0003648318,0.607344,0.0002803863,0.0001145974,0.0009299507,0.003987859,0.002976878,0.04409409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01858997,"threshold_uncertainty_score":0.06218964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711504773091901,"score_gpt":0.246772835861558,"score_spread":0.229657788130639,"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."}}