{"id":"W4310184971","doi":"10.3390/app122312159","title":"Arabic Emotional Voice Conversion Using English Pre-Trained StarGANv2-VC-Based Model","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"King Saud University","keywords":"Prosody; Computer science; Speech recognition; Identity (music); Arabic; Natural language processing; Generative grammar; Artificial intelligence; Psychology; Linguistics","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":[0.0009693716,0.0001314865,0.0001410083,0.0002203628,0.001243548,0.0001954762,0.001108938,0.00003150273,0.000324748],"category_scores_gemma":[0.00004638861,0.0001263198,0.00006958888,0.0009588491,0.000209947,0.0003549283,0.0002608617,0.0001428365,0.00002460795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009540139,"about_ca_system_score_gemma":0.0004293879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001435494,"about_ca_topic_score_gemma":0.000003427012,"domain_scores_codex":[0.9979033,0.0000778908,0.000198176,0.0005599373,0.00093267,0.0003280125],"domain_scores_gemma":[0.9992827,0.0001875511,0.0001025986,0.0002440532,0.00008075925,0.000102316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001138666,0.001016615,0.001263928,0.00006541063,0.00005034334,0.00003043476,0.007846974,0.6824399,0.08705813,0.170005,0.004805555,0.04530389],"study_design_scores_gemma":[0.000305919,0.00004682741,0.0001864647,0.000004538362,0.000005121737,0.000004314951,0.0004320268,0.9863576,0.00824013,0.003394316,0.000821592,0.0002011944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3912712,0.00001791616,0.598896,0.0004748745,0.0004613466,0.0002516604,0.00001841895,0.0002667428,0.0083419],"genre_scores_gemma":[0.9007399,8.16774e-7,0.09784198,0.001230141,0.00004513412,0.00002733573,0.000004400244,0.000005317106,0.0001049995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5094687,"threshold_uncertainty_score":0.956449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032839778466629,"score_gpt":0.2519690325844632,"score_spread":0.2116406347997969,"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."}}