Automatic speech recognition (ASR) systems suffer from performance degradation under noisy and reverberant conditions. In this work, we explore a deep neural network (DNN) based approach for spectral feature mapping from corrupted speech to clean speech. The DNN based mapping substantially reduces interference and produces estimated clean spectral features for ASR training and decoding. We expe...

In this paper we describe various study designs and analytic techniques for testing the joint hypothesis that a genetic marker is both linked to and associated with a quantitative phenotype. Issues of power and sampling are addressed. The distinction between methods that explicitly examine association and those that infer association by examining the distribution of allelic transmissions from a...

expensive to provide these maps  with field measurements  therefore  it is better to use new methods. this study provides a lithological and alteration mapping units with dominant minerals based on hyperspectral images of eo1-hyperion satellite. to do so, two different zones  were  investigated:  the  cuprite-nevada  and  mozahem  volcano  in  iran  which  have suitable conditions for our study...

In this paper we present results of our ongoing research on non-verbal human-robot interaction that is heavily inspired by recent experimental findings about the neuro-cognitive mechanisms supporting joint action in humans. The robot control architecture implements the joint coordination of actions and goals as a dynamic process that integrates contextual cues, shared task knowledge and the pre...

This article presents methods for robust and efficient communication over wireless channels. Both benefits and limitations of the classical approach of separate source and channel coding are discussed. Joint source-channel coding (JSCC) is presented as the most promising scheme for communication of analogue sources over wireless channels, due to its ability to cope with varying channel qualitie...

Most quantitative trait loci (QTL) mapping experiments typically collect phenotypic data on multiple correlated complex traits. However, there is a lack of a comprehensive genomewide mapping strategy for correlated traits in the literature. We develop Bayesian multiple-QTL mapping methods for correlated continuous traits using two multivariate models: one that assumes the same genetic model for...

This paper presents recent developments on our “silent speech interface” that converts tongue and lip motions, captured by ultrasound and video imaging, into audible speech. In our previous studies, the mapping between the observed articulatory movements and the resulting speech sound was achieved using a unit selection approach. We investigate here the use of statistical mapping techniques, ba...

Energy Management for multi-mode Software Defined Radio (SDR) systems remains a daunting challenge. In this paper, we focus on the issue of task allocation for multi-processor based systems with hybrid processing resources that can be reconfigured to support various operations. With the objective of minimizing energy, we present an analytical probabilistic model that considers static, dynamic, ...

In this study, continuous drive friction welding process is selected for joint dissimilar high chromium white cast iron and mild carbon steeel. The microstructure, presence diffusion of elements, deformation in interface weld metal were analyzed by scanning electron microscopy (SEM), optical (OM), energy dispersive spectroscopy (EDS), elemental mapping X-Ray diffraction (XRD). Elemental analysi...

we prove a strong convergence result for a sequence generated by halpern's type iteration for approximating a common fixed point of a countable family of quasi-lipschitzian mappings in a real hilbert space. consequently, we apply our results to the problem of finding a common fixed point of asymptotically nonexpansive mappings, an equilibrium problem, and a variational inequality problem for co...