{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00137161,0.0001332085,0.0002482065,0.00001205488,0.000442,0.00006516135,0.002480015,0.0000576036,0.00003103796],"category_scores_gemma":[0.0005237098,0.00005565201,0.0005046542,0.0003185257,0.0006486054,0.0001893763,0.0003137993,0.000449536,0.000022115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006599014,"about_ca_system_score_gemma":0.0001330168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007612239,"about_ca_topic_score_gemma":6.548551e-7,"domain_scores_codex":[0.998121,0.0002224182,0.000479265,0.0001096086,0.0007731686,0.0002945474],"domain_scores_gemma":[0.996743,0.001846889,0.0004383059,0.0006337637,0.0002492788,0.00008872566],"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":[0.00004995716,0.0001121607,0.000006975851,0.000005722204,0.00008907802,9.32424e-7,0.0006011769,0.004599443,0.003695096,0.0001838055,0.07893065,0.911725],"study_design_scores_gemma":[0.0001608501,0.00005427406,0.0001905513,0.00004611107,0.00006989754,0.0001207105,0.0003437572,0.9665113,0.005973226,0.004081469,0.02235114,0.00009668109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003501841,0.0009349759,0.9199721,0.07395638,0.0002056461,0.0001185906,0.000003727043,0.0000234931,0.001283256],"genre_scores_gemma":[0.2692184,0.002527711,0.7182477,0.00860563,0.0003735431,0.0000022544,3.696092e-8,0.00001846485,0.001006331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9619119,"threshold_uncertainty_score":0.4608526,"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."}}