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ICASSP
2011
IEEE
14 years 7 months ago
Estimation of fundamental frequency from surface electromyographic data: EMG-to-F0
In this paper, we present our recent studies of F0 estimation from the surface electromyographic (EMG) data using a Gaussian mixture model (GMM)-based voice conversion (VC) techni...
Keigo Nakamura, Matthias Janke, Michael Wand, Tanj...
ICASSP
2008
IEEE
15 years 10 months ago
A multi-class MLLR kernel for SVM speaker recognition
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
Zahi N. Karam, William M. Campbell
ICIP
2006
IEEE
16 years 5 months ago
Hierarchical Data Structure for Real-Time Background Subtraction
This paper seeks to increase the efficiency of background subtraction algorithms for motion detection. Our method uses a quadtree-base hierarchical framework that samples a small ...
Johnny Park, Amy Tabb, Avinash C. Kak
ICASSP
2011
IEEE
14 years 7 months ago
High accurate model-integration-based voice conversion using dynamic features and model structure optimization
This paper combines a parameter generation algorithm and a model optimization approach with the model-integration-based voice conversion (MIVC). We have proposed probabilistic int...
Daisuke Saito, Shinji Watanabe, Atsushi Nakamura, ...
JMLR
2011
148views more  JMLR 2011»
14 years 11 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan