{"id":"W2375118284","doi":"","title":"An Analysis of Speech Intelligibility of Mandarin under the Different Emotional Conditions","year":2012,"lang":"en","type":"article","venue":"Hainan Daxue xuebao","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Surprise; Intelligibility (philosophy); Sadness; Mandarin Chinese; Happiness; Anger; Psychology; Formant; Vowel; Speech recognition; Computer science; Linguistics; Communication; Social psychology","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":[0.0004929827,0.0003527731,0.0003280253,0.0008545935,0.0002703144,0.0003253297,0.0001320446,0.0002552348,0.0009637043],"category_scores_gemma":[0.001844556,0.00009477606,0.0002868005,0.0003864143,0.000227702,0.0003284458,0.0002101661,0.0001626649,0.0002834871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049435,"about_ca_system_score_gemma":0.0001367297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012625,"about_ca_topic_score_gemma":0.0009233817,"domain_scores_codex":[0.9996575,0.0000647839,0.00004684575,0.00008024577,0.0001118619,0.00003872739],"domain_scores_gemma":[0.9991761,0.0004499876,0.0000493506,0.00004497428,0.0002338669,0.00004585515],"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":[0.004246412,0.0001334817,0.03953039,0.0004956953,0.0002311284,0.001301074,0.002011284,0.003559377,0.7634451,0.0005476488,0.0005788129,0.1839195],"study_design_scores_gemma":[0.00005364498,0.002262152,0.728481,0.00003525472,0.000551421,0.002273472,0.001747654,0.037081,0.2238056,0.000466109,0.00312007,0.0001226023],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913979,0.0002882529,0.006484886,0.00002878146,0.00001968801,0.00001402867,0.000260417,0.00008589656,0.001420153],"genre_scores_gemma":[0.9964658,0.0001372548,0.002124567,0.00001045572,0.00001614359,0.00002000418,0.0006150659,0.00002457205,0.0005860808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012625,"threshold_uncertainty_score":0.003223956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282878974751501,"score_gpt":0.3055221138591313,"score_spread":0.2826933241116163,"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."}}