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» Hidden Markov Models with Multiple Observation Processes
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ICASSP
2011
IEEE
14 years 3 months ago
HNM-based MFCC+F0 extractor applied to statistical speech synthesis
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
Daniel Erro, Iñaki Sainz, Eva Navas, Inma H...
MSWIM
2003
ACM
15 years 5 months ago
Markov-based modeling of wireless local area networks
Errors introduced by a wireless medium are more frequent and profound than contemporary wired media. Some of these errors, which are not corrected by the physical layer, result in...
Syed A. Khayam, Hayder Radha
ANOR
2010
85views more  ANOR 2010»
15 years 4 hour ago
Inventory management with partially observed nonstationary demand
Abstract. We consider a continuous-time model for inventory management with Markov modulated non-stationary demands. We introduce active learning by assuming that the state of the ...
Erhan Bayraktar, Michael Ludkovski
NIPS
2004
15 years 1 months ago
Coarticulation in Markov Decision Processes
We investigate an approach for simultaneously committing to multiple activities, each modeled as a temporally extended action in a semi-Markov decision process (SMDP). For each ac...
Khashayar Rohanimanesh, Robert Platt Jr., Sridhar ...
ATAL
2007
Springer
15 years 6 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...