Unsupervised acoustic model training has been successfully used to improve the performance of automatic speech recognition systems when only a small amount of manually transcribed...
Imaging techniques for measuring lung ventilation are essential tools to study lung tissue response to radiation therapy. Most of the existing CT and image registration based vent...
Kai Ding, Kaifang Du, Kunlin Cao, Gary E. Christen...
In MB-OFDM-based UWB systems, the different CFOs for different bands can be obtained by only estimating the OFO. To achieve OFO estimators with wide estimation ranges, we benefit...
Most of the current digital cameras feature a single sensor design which limits the number of channels recorded at each pixel location to one. However, a color image is represente...
All of the existing N-point discrete fractional signal transforms require O(N2 ) computation complexity. In this paper, we propose a new discrete fractional signal transform whose...
We propose a non-data-aided adaptive beamforming algorithm based on Widely Linear (WL) processing techniques and the Auxiliary Vector Filtering (AVF) algorithm for non-circular si...
Nuan Song, Jens Steinwandt, Lei Wang, Rodrigo C. d...
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtane...
We investigate the ground clutter homogeneity and target detection performance using airborne multi-channel AESA (Active Electronically Scanned Array) radar data from flight trial...
Johan Degerman, Thomas Pernstal, Magnus Gisselfalt...
We present a novel and unique combination of algorithms to detect the gender of the leading vocalist in recorded popular music. Building on our previous successful approach that e...
Felix Weninger, Jean-Louis Durrieu, Florian Eyben,...