1 citations · 1 across the 3 of their papers we have counts for
3 papers
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework
Mohammad Khalooei, Mohammad Mehdi Homayounpour, Maryam Amirmazlaghani
Deep neural network models are used today in various applications of artificial intelligence, the strengthening of which, in the face of adversarial attacks is of particular import…
Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection
Amir Mohammad Rostami, Mohammad Mehdi Homayounpour, Ahmad Nickabadi
Many endeavors have sought to develop countermeasure techniques as enhancements on Automatic Speaker Verification (ASV) systems, in order to make them more robust against spoof att…
Feature Joint-State Posterior Estimation in Factorial Speech Processing Models using Deep Neural Networks
Mahdi Khademian, Mohammad Mehdi Homayounpour
This paper proposes a new method for calculating joint-state posteriors of mixed-audio features using deep neural networks to be used in factorial speech processing models. The joi…