{"id":"W3127781879","doi":"10.48550/arxiv.2102.01640","title":"SPEAK WITH YOUR HANDS Using Continuous Hand Gestures to control Articulatory Speech Synthesizer","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vocal tract; Gesture; Computer science; Speech recognition; Spline (mechanical); Kinematics; Speech production; Speech synthesis; Wrist; Acoustics; Artificial intelligence; Engineering; Anatomy","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":[0.0002587008,0.0005683622,0.0003220675,0.000229373,0.0001926115,0.0006037235,0.0005365658,0.0004149196,0.009539645],"category_scores_gemma":[0.0008702965,0.000212328,0.0002216266,0.00009397502,0.0003075642,0.0005523676,0.0006253318,0.0003384389,0.002299979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221867,"about_ca_system_score_gemma":0.0001488195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006514886,"about_ca_topic_score_gemma":0.001143272,"domain_scores_codex":[0.9998055,0.00002251312,0.00001291521,0.00006427358,0.0000780822,0.00001683565],"domain_scores_gemma":[0.9997697,0.0001063632,0.00002174416,0.00003516872,0.00003669671,0.00003037626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004030053,0.0000853384,0.001037358,0.0001929318,0.00004074765,0.000337185,0.0005220387,0.008373368,0.6181296,0.002141886,0.002556676,0.3661798],"study_design_scores_gemma":[0.0002114744,0.00126525,0.008377141,0.0001453097,0.0001475655,0.001487946,0.0003966241,0.4263381,0.4737995,0.004842236,0.08282028,0.0001686067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1006823,0.0004209607,0.8748576,0.0001884937,0.0001554153,0.0001464704,0.0001395658,0.0104168,0.01299247],"genre_scores_gemma":[0.6755539,0.0003279125,0.3003844,0.0002215339,0.0000860402,0.0001780781,0.0002040438,0.0009553269,0.02208873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009539645,"threshold_uncertainty_score":0.03191328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921805763573322,"score_gpt":0.1929265297347166,"score_spread":0.1237084720989833,"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."}}