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NOLISP
2007
Springer
14 years 1 months ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
KES
2005
Springer
14 years 1 months ago
In Use Parameter Estimation of Inertial Sensors by Detecting Multilevel Quasi-static States
Abstract. We present an autoadaptive algorithm for in-use parameter estimation of MEMS inertial accelerometers and gyros1 using multilevel quasi-static states for greater accuracy ...
Ashutosh Saxena, Gaurav Gupta, Vadim Gerasimov, S&...
CEC
2009
IEEE
14 years 11 days ago
Memory-enhanced Evolutionary Robotics: The Echo State Network Approach
— Interested in Evolutionary Robotics, this paper focuses on the acquisition and exploitation of memory skills. The targeted task is a well-studied benchmark problem, the Tolman ...
Cédric Hartland, Nicolas Bredeche, Mich&egr...
TSP
2008
111views more  TSP 2008»
13 years 7 months ago
Consistent Impulse-Response Estimation and System Realization From Noisy Data
A novel method for the estimation of a finite part of the impulse response is presented. The method is consistent in case the measured output data are prone to colored noise. The c...
E. Reynders, Rik Pintelon, G. De Roeck
ICPR
2010
IEEE
13 years 5 months ago
Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
Sheeraz Memon, Margaret Lech, Namunu Chinthaka Mad...