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.—SMITH, D. J.—MILNER, B. P. : Context Awareness using Environmental Noise Classification, Proc. Eurospeech03, 2003, pp. 2237-2240. WANG, J. C.—WANG, J. F.—HE, K. W.—HSU, C. S. : Environmental Sound Classification using Hybrid SVM/KNN Classifier and MPEG-7 Audio Low-Level Descriptor, Proc. IEEE International Joint Conference on Neural Networks, 2006, pp. 1731-1735. NTALAMPIRA, S.—POTAMITIS, N.—FAKOTAKIS, N. : Automatic Recognition of Urban Environmental Sounds Events, Proc. CIP2008, 2008, pp. 110-113. KRAETZER, C.—OERMANN, A.—DITTMANN, J.—LANG, A. : Digital Audio Forensics

., eds.), LNCS 3658, Springer-Verlag, Berlin Heidelberg, 2005, pp. 371–378. [12] JEONG, Y. : Joint Speaker and Environment Adaptation Using TensorVoice for Robust Speech Recognition, Speech Communication 58 (2014), 1–10. [13] REYNOLDS, D. A.—ROSE, R. C. : Robust Text-Independent Speaker Identification Using Gaussian Mixture Speaker Models, IEEE Transactions on Speech and Audio Processing 3 (1995), 72–83. [14] MUHAMMAD, G.—ALGHATHBAR, K. : Environment Recognition for Digital Audio Forensics Using MPEG-7 and Mel Cepstral Features, Journal of Electrical Engineering

speakers”, Speech Communication , 2010, 52, (7-8), 638–651. [17] C. M. Bishop, “Pattern Recognition and Machine Learning”, Springer ,. [18] G. Muhammad and K. Alghathbar, “Environment recognition for digital audio forensics using MPEG-7 and mel cepstral features”, Journal of Electrical Engineering , 2011, 62, (4), 199–205. [19] J. Přibil and A. Přibilová, “GMM-based evaluation of emotional style transformation in Czech and Slovak”, Cognitive Computation , 2014, 6, (4), 928–939. [20] J. Přibil and A. Přibilová, “Comparison of text-independent original speaker