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TASLP
2002
109views more  TASLP 2002»
13 years 7 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
ICASSP
2011
IEEE
12 years 11 months ago
Pitch transposition and breathiness modification using a glottal source model and its adapted vocal-tract filter
The transformation of the voiced segments of a speech recording has many applications such as expressivity synthesis or voice conversion. This paper addresses the pitch transposit...
Gilles Degottex, Axel Röbel, Xavier Rodet
JCP
2007
243views more  JCP 2007»
13 years 7 months ago
Adaptive-Gain Kinematic Filters of Orders 2-4
- The kinematic filter is a common tool in control and signal processing applications dealing with position, velocity and other kinematical variables. Usually the filter gain is gi...
Naum Chernoguz
ICASSP
2009
IEEE
14 years 2 months ago
Distributed adaptive estimation of correlated node-specific signals in a fully connected sensor network
We introduce a distributed adaptive estimation algorithm operating in an ideal fully connected sensor network. The algorithm estimates node-specific signals at each node based on...
Alexander Bertrand, Marc Moonen
TSP
2008
89views more  TSP 2008»
13 years 7 months ago
Optimal Filters on the Sphere
We derive optimal filters on the sphere in the context of detecting compact objects embedded in a stochastic background process. The matched filter and the scale adaptive filter ar...
Jason D. McEwen, Michael P. Hobson, Anthony N. Las...