ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper, we consider the source-channel rate allocation for different transmission schemes. We propose a new trellis structure and a new algorithm that are able to deal with...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
The quality and intelligibility of narrowband telephone speech can be enhanced by artifical bandwidth extension. This study combines Gaussian mixture model-based (GMM) mel spectr...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
The reuse of past coefficient vectors of the NLMS for reducing the steady-state MSD in a low signal-to-noise ratio (SNR) was proposed recently. Its convergence analysis has not b...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In context-dependent acoustic modeling, it is important to strike a balance between detailed modeling and data sufficiency for robust estimation of model parameters. In the past,...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EM...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Cortical recordings with high temporal resolution enable the tracking of neuronal excitation in response to stimuli. Here intra and extracranial recordings are analyzed from exper...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the e...