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108
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TASLP
2002
84views more  TASLP 2002»
15 years 2 months ago
Substate tying with combined parameter training and reduction in tied-mixture HMM design
Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate ty...
Liang Gu, Kenneth Rose
TWC
2008
142views more  TWC 2008»
15 years 2 months ago
Robust Ultra-Wideband Signal Acquisition
Ultra-wideband (UWB) communication is envisaged to be deployed in indoor environments, where the noise distribution is decidedly non-Gaussian. A critical challenge for impulse radi...
Ersen Ekrem, Mutlu Koca, Hakan Deliç
152
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ISNN
2010
Springer
15 years 1 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
INTERSPEECH
2010
14 years 9 months ago
Brno university of technology system for interspeech 2010 paralinguistic challenge
This paper describes Brno University of Technology (BUT) system for the Interspeech 2010 Paralinguistic Challenge. Our submitted systems for the Age- and Gender-Sub-Challenges emp...
Marcel Kockmann, Lukas Burget, Jan Cernocký
142
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TSP
2010
14 years 9 months ago
Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus
Abstract--We derive a class of algorithms for independent component analysis (ICA) based on maximum likelihood (ML) estimation and perform stability analysis of natural gradient ML...
Hualiang Li, Tülay Adali