116 search results - page 12 / 24 » Minimum Message Length Hidden Markov Modelling |
INTERSPEECH
2010
13 years 4 months ago
2010
In this paper, we present efficient HMM-based techniques for estimating missing features. By assuming speech features to be observations of hidden Markov processes, we derive a mi...
TIT
2008
13 years 9 months ago
2008
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
IJFCS
2008
13 years 9 months ago
2008
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
CSL
2007
Springer
13 years 9 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
ICPR
2000
IEEE
14 years 11 months ago
2000
IEEE
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...