{"id":"W3149444771","doi":"10.18280/ts.380124","title":"Classification of Pitch and Gender of Speakers for Forensic Speaker Recognition from Disguised Voices Using Novel Features Learned by Deep Convolutional Neural Networks","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectrogram; Mel-frequency cepstrum; Speech recognition; Convolutional neural network; Computer science; Pattern recognition (psychology); Support vector machine; Artificial intelligence; Classifier (UML); Feature extraction; Artificial neural network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003330488,0.0005501366,0.0002746122,0.0006324195,0.0002078532,0.0003461057,0.000355139,0.000409209,0.001191542],"category_scores_gemma":[0.0008069297,0.0001422603,0.0003727193,0.0002206556,0.0002060109,0.0004381279,0.0004365534,0.0005161328,0.0004852929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003115453,"about_ca_system_score_gemma":0.00029853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250622,"about_ca_topic_score_gemma":0.004314926,"domain_scores_codex":[0.9998117,0.00002320864,0.00001034309,0.00005312937,0.00006081642,0.0000408222],"domain_scores_gemma":[0.9997919,0.0000556745,0.00002549083,0.00002186612,0.00008589457,0.0000191002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007519885,0.000212976,0.01491865,0.0001448749,0.0001096124,0.0004693483,0.0002571724,0.04228776,0.1882525,0.0009589019,0.003619251,0.7480171],"study_design_scores_gemma":[0.00001532096,0.0002018424,0.0202582,0.00003498923,0.00008734381,0.0004294546,0.0001543023,0.900367,0.07496998,0.001043775,0.002399455,0.00003829834],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5809324,0.001094393,0.4107212,0.0003176128,0.0002894684,0.0001029758,0.0005765327,0.001635539,0.004329909],"genre_scores_gemma":[0.940291,0.0003085536,0.05529639,0.00007607601,0.00005183556,0.00004306472,0.0007354091,0.00004770209,0.003149959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00250622,"threshold_uncertainty_score":0.004983246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08201919839413377,"score_gpt":0.275238340112156,"score_spread":0.1932191417180223,"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."}}