The acceleration of acoustic likelihood calculation has been an important research issue for developing practical speech recognition systems. And there are various specification ...
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
Sangnam Nam, Michael E. Davies, Michael Elad, R&ea...
A new multi-core DSP board is available for university and industry engineers. The LogicPD ZoomTM OMAP-L138 eXperimenter Kit, featuring Texas Instruments’ dual core SoC (ARM9 an...
Michael G. Morrow, Cameron H. G. Wright, Thad B. W...
In an acoustic sensor network, consisting of spatially distributed microphone nodes, a significant noise reduction can be achieved using the centralized multi-channel Wiener fil...
We present an analysis of F0 range and peak alignment in emotional speech from a heterogeneous group of speakers varying in age and gender. Both speaker and emotion had a strong e...
Eric Morley, Jan P. H. van Santen, Esther Klabbers...
It has always been very difficult to recognize realistic actions from unconstrained videos because there are tremendous variations from camera motion, background clutter, object a...
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
Cross-layer design and operation of wireless networks has attracted significant interest in the last decade, yet some basic problems in the area remain unsolved. In this paper, w...
Evaggelia Matskani, Nikos D. Sidiropoulos, Leandro...
Enriching a pronunciation dictionary with phonological variation is a challenging task, not yet solved despite several decades of research, in particular for speech-to-text transc...
Our goal is to model anatomical variability across individuals, which presents substantial challenges in clinical population studies and in building atlases for segmentation. Base...