ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper we consider the task of classifying materials into explosives and non-explosives according to features obtainable from Multi-Energy X-ray Computed Tomography (MECT) ...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
We propose an informative dialect recognition system that learns phonetic transformation rules, and uses them to identify dialects. A hidden Markov model is used to align referenc...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Speaker role recognition in TV Broadcast News shows is addressed in this paper with a particular focus on speaker turn role labeling. A mixed approach combining speaker clustering...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
We describe in this paper novel consensus-based distributed particle filtering algorithms which are applied to cooperative blind equalization of frequency-selective channels in a...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such cl...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper, we propose a new methodology for detecting lane markers that exploits the parallel nature of lane boundaries on the road. First, the input image is pre-processed an...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
An idea is presented where multitapers are extracted from a known cross-spectrum and applied for estimation of the coherence function. An important property of the extracted windo...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...