Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often called phasesensitiv...
Pourya S. Jafari, Hou-Yong Kang, Xiaosong Wang, Qi...
Application Layer Forward Error Correction (AL)-FEC is increasingly being employed in the emerging wireless multimedia applications, where the multimedia data is sent along with r...
Sajid Nazir, Dejan Vukobratovic, Vladimir Stankovi...
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, mainly targeting speaker and session variation disentangling under the Maximum a...
We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...