2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.SD2017
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…
cs.CL2016★ 1 cited
Monaural Multi-Talker Speech Recognition using Factorial Speech Processing Models
Mahdi Khademian, Mohammad Mehdi Homayounpour
A Pascal challenge entitled monaural multi-talker speech recognition was developed, targeting the problem of robust automatic speech recognition against speech like noises which si…
cs.LG2015★ 2 cited
Modeling State-Conditional Observation Distribution using Weighted Stereo Samples for Factorial Speech Processing Models
Mahdi Khademian, Mohammad Mehdi Homayounpour
This paper investigates the effectiveness of factorial speech processing models in noise-robust automatic speech recognition tasks. For this purpose, the paper proposes an idealist…