2026-05-12T20:43:05.767Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:5083 2017-07-04T11:41:29Z 1

Optimization of the speaker recognition in noisy environments using a stochastic gradient descent 2017 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/5083 http://portal.sinteza.singidunum.ac.rs/paper/545 A. Nasef М. Марјановић-Јаковљевић A. NJeguš Noise-robust speech recognition system is still one of the ongoing, challenging problems, since these systems usually work in the noisy environments, such as offices, vehicles, airplanes, and other. Even though deep learning algorithms provide higher performances, there is still a large recognition drop in the task of speaker recognition in noisy environments. The proposed system is tested on VIDTIMIT dataset in the presence of Additive White Gaussian Noise changing the Signal-to-Noise Ratio levels. The experimental results show how the optimization of Stochastic Gradient Descent algorithm parameters such as learning rate and dropout rate, can improve the performance of speech recognition in both noisy and less noisy environments. conferenceObject 369 373 https://doi.org/10.15308/Sinteza-2017-369-373 Proceedings of International Scientific Conference on Information Technology and Data Related Research