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Deep Neural Network Based Continuous Speech Recognition for Serbian Using the Kaldi Toolkit., , , , and . SPECOM, volume 9319 of Lecture Notes in Computer Science, page 186-192. Springer, (2015)Automatic Prosody Generation for Serbo-Croatian Speech Synthesis Based on Regression Trees., , and . INTERSPEECH, page 3157-3160. ISCA, (2011)Energy Normalization in Automatic Speech Recognition., , , and . TSD, volume 5246 of Lecture Notes in Computer Science, page 341-347. Springer, (2008)Central Audio-Library of the University of Novi Sad., , , , , , and . IDC, volume 868 of Studies in Computational Intelligence, page 467-476. Springer, (2019)A Fast Transform for Brain Connectivity Difference Evaluation., , , , , , , and . Neuroinformatics, 20 (2): 285-299 (2022)Speaker Detection Using Phoneme Specific Hidden Markov Models., , , , and . SPECOM, volume 8773 of Lecture Notes in Computer Science, page 410-417. Springer, (2014)A Comparison of Covariance Matrix and i-vector Based Speaker Recognition., , , and . SPECOM, volume 10458 of Lecture Notes in Computer Science, page 37-45. Springer, (2017)Comparison of the automatic speaker recognition performance over standard features., , , and . SISY, page 341-344. IEEE, (2012)Eigenvalues Driven Gaussian Selection in continuous speech recognition using HMMs with full covariance matrices., , , and . Appl. Intell., 33 (2): 107-116 (2010)Speech Technology Progress Based on New Machine Learning Paradigm., , , , , , , , and . Comput. Intell. Neurosci., (2019)