ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
We consider the problem of parameter estimation for signals characterized by sums of parameterized functions. We present a dynamic dictionary subset selection approach to paramete...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
A great deal of interest has been paid to the estimation of time-varying autoregressive (TVAR) parameters. However, when the observations are disturbed by an additive white measur...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
This paper presents a rapid voice adaptation algorithm using GMM-based frequency warping and shift with parameters of a subband basis spectrum model (SBM)[1]. The SBM parameter re...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
The speech parameter generation algorithm considering global variance (GV) for HMM-based speech synthesis proved to be effective against the over-smoothing problem. However, the c...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We present a unifying approach to the efficient evaluation of propositional answer-set programs. Our approach is based on backdoors which are small sets of atoms that represent ...
TSMC
2010
13 years 5 months ago
2010
We study how the dependence of a simulation output on an uncertain parameter can be determined, when simulations are computationally expensive and so can only be run for very few p...
TITB
2010
13 years 5 months ago
2010
We describe a system for the evaluation of the sleep macrostructure on the basis of Emfit sensor foils placed into bed mattress and of advanced signal processing. The signals on wh...
SIAMSC
2010
13 years 5 months ago
2010
We present a new "hp" parameter multi-domain certified reduced basis method for rapid and reliable online evaluation of functional outputs associated with parametrized el...
ASC
2011
13 years 5 months ago
2011
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
NFM
2011
13 years 5 months ago
2011
Abstract. In parametric Markov Decision Processes (PMDPs), transition probabilities are not fixed, but are given as functions over a set of parameters. A PMDP denotes a family of ...