23 search results - page 1 / 5 » Boosted mixture learning of Gaussian mixture HMMs for speech... |
INTERSPEECH
2010
12 years 11 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
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...
ICMCS
2009
IEEE
13 years 2 months ago
2009
IEEE
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
CSL
2004
Springer
13 years 4 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...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...