Subspace Gaussian mixture model: Difference between revisions

Revision as of 01:29, 25 September 2014

Revision as of 01:30, 25 September 2014

Line 1:

'''Subspace Gaussian Mixture Model (SGMM)''' is an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the total parameter space.<ref>SUBSPACE GAUSSIAN MIXTURE MODELS FOR SPEECH RECOGNITION</ref>

== References ==