Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model

Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi

Gaussian Mixture Models (GMMs) are one of the most potent parametric density models used extensively in many applications. Flexibly-tied factorization of the covariance matrices in…