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(w)Learning rate constant for phonetic-space weight-projections (w)Smoothing constant for estimation of speaker-space weight projections (u)Learning rate constant for speaker-space weight-projections (u)Smoothing constant for estimation of within-class covariances (Sigma)Constant that controls speed of learning for variances (larger->slower)Minimum value that an eigenvalue of the updated covariance matrix can take, relative to its old value (maximum is inverse of this.)Floor for weights of sub-states.Value used in handling singular matrices during update.vMNwcStgsnuWrite output in binary modebinaryupdate-flagswrite-flagsnum-threadssgmm2-est-ebw.cc over frames.Wrote model to Estimate SGMM model parameters discriminatively using Extended Baum-Welch style of update Usage: sgmm2-est-ebw [options] Which SGMM parameters to update: subset of vMNwcSt.Which SGMM parameters to write: subset of gsnuNumber of threads to use in weight update and normalizer computationOverall auxf impr/frame from 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