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02/05/2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework
Deep neural network models are used today in various applications of art...
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09/05/2021
Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection
Many endeavors have sought to develop countermeasure techniques as enhan...
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07/10/2017
Feature Joint-State Posterior Estimation in Factorial Speech Processing Models using Deep Neural Networks
This paper proposes a new method for calculating joint-state posteriors ...
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01/07/2017
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English
Neural Machine Translation (NMT) is a new approach for Machine Translati...
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10/05/2016
Monaural Multi-Talker Speech Recognition using Factorial Speech Processing Models
A Pascal challenge entitled monaural multi-talker speech recognition was...
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03/09/2015
Modeling State-Conditional Observation Distribution using Weighted Stereo Samples for Factorial Speech Processing Models
This paper investigates the effectiveness of factorial speech processing...
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11/14/2014
Deep Belief Network Training Improvement Using Elite Samples Minimizing Free Energy
Nowadays this is very popular to use deep architectures in machine learn...
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08/14/2014
