ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
Lattice-based approaches have been widely used in spoken document retrieval to handle the speech recognition uncertainty and errors. Position Specific Posterior Lattices (PSPL) an...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In analyzing polyphonic signals, the handling of overlapping partials is one important problem. The assumptions usually made for partial overlaps are the additivity of the linear ...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
We consider the problem of word boundary detection in spontaneous speech utterances. Acoustic features have been well explored in the literature in the context of word boundary de...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
The length of the room impulse response characterizing the acoustic path between speaker and microphone is significantly larger than the length of the analysis window used for fea...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
A fast subspace analysis and feature extraction algorithm is proposed which is based on fast Haar transform and integral vector. In rapid object detection and conventional binary ...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
The outputs of multi-layer perceptron (MLP) classifiers have been successfully used in tandem systems as features for HMM-based automatic speech recognition. In a previous paper, ...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...