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CSL
1999
Springer
15 years 6 months ago
A hidden Markov-model-based trainable speech synthesizer
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
R. E. Donovan, Philip C. Woodland
JSS
2002
84views more  JSS 2002»
15 years 6 months ago
COTS-based software development: Processes and open issues
The work described in this paper is an investigation of COTS-based software development within a particular NASA environment, with an emphasis on the processes used. Fifteen proje...
Maurizio Morisio, Carolyn B. Seaman, Victor R. Bas...
JUCS
2002
97views more  JUCS 2002»
15 years 6 months ago
The TrailTRECer Framework: Applying Open Hypermedia Concepts to Trails
: Being lost in space and overloaded with information are two key problems users are confronted with, when searching for appropriate information. Trails built from information abou...
Erich Gams, Siegfried Reich
NECO
2002
104views more  NECO 2002»
15 years 6 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
NPL
1998
175views more  NPL 1998»
15 years 6 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas