35 search results - page 1 / 7 » Mixture of Support Vector Machines for HMM based Speech Reco... |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper proposes a unit-selection and waveform concatenation speech synthesis system based on synthetic speech naturalness evaluation. A Support Vector Machine (SVM) and Log Li...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
ICIP
2002
IEEE
14 years 6 months ago
2002
IEEE
In this paper we proposed a visual speech recognition network based on Support Vector Machines. Each word of the dictionary is modeled by a set of temporal sequences of visemes. E...