67 search results - page 3 / 14 » Efficient Gaussian Mixture for Speech Recognition |
CSL
2011
Springer
13 years 2 months ago
2011
Springer
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
ICMCS
2009
IEEE
13 years 5 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
2006
Springer
13 years 7 months ago
2006
Springer
Recently there has been interest in the use of classifiers based on the product of experts (PoE) framework. PoEs offer an alternative to the standard mixture of experts (MoE) fram...
NAACL
2003
13 years 8 months ago
2003
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...