48 search results - page 2 / 10 » Application of continuous state Hidden Markov Models to a cl... |
FTSIG
2007
13 years 9 months ago
2007
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
CSL
2004
Springer
13 years 9 months ago
2004
Springer
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
MICAI
2007
Springer
14 years 3 months ago
2007
Springer
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden Markov model (HMM). GBW is based on Lagrange relaxation...