• Binary Quantization Analysis of Neural Networks Weights on MNIST Dataset 

      Perić, Zoran; Denić, Bojan; Savić, Milan; Vučić, Nikola; Simić, Nikola (Kaunas University of Technology, 2021-08-23)
      This paper considers the design of a binary scalar quantizer of Laplacian source and its application in compressed neural networks. The quantizer performance is investigated in a wide dynamic range of data variances, and ...
    • Design of a 2-Bit Neural Network Quantizer for Laplacian Source 

      Perić, Zoran; Savić, Milan; Simić, Nikola; Denić, Bojan; Despotović, Vladimir (Molecular Diversity Preservation International, 2021-07-22)
      Achieving real-time inference is one of the major issues in contemporary neural network applications, as complex algorithms are frequently being deployed to mobile devices that have constrained storage and computing power. ...
    • Speaker Recognition Using Constrained Convolutional Neural Networks in Emotional Speech 

      Simić, Nikola; Suzić, Siniša; Nosek, Tijana; Vujović, Mia; Perić, Zoran; Savić, Milan; Delić, Vlado (Molecular Diversity Preservation International, 2022-03-16)
      Speaker recognition is an important classification task, which can be solved using several approaches. Although building a speaker recognition model on a closed set of speakers under neutral speaking conditions is a ...