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'''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 ==
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