Subspace Gaussian mixture model
Acoustic modeling approach in which all phonetic states share a common Gaussian From Wikipedia, the free encyclopedia
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.[1]
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