416 search results - page 19 / 84 » Processing Textbook-Style Matrices |
100
Voted
ICASSP
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper studies compressed sensing for the recovery of non-negative sparse vectors from a smaller number of measurements than the ambient dimension of the unknown vector. We fo...
103
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
124
click to vote
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Gaussian mixture models (GMMs) are commonly used to model the spectral distribution of speech signals for text-independent speaker verification. Mean vectors of the GMM, used in c...
111
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper describes subspace constrained feature space maximum likelihood linear regression (FMLLR) for rapid adaptation. The test speaker’s FMLLR rotation matrix is decomposed...
115
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
The aim of compressed sensing is to recover attributes of sparse signals using very few measurements. Given an overall bit budget for quantization, this paper demonstrates that th...