• output probability specification
    Gaussian distribution
  • our goal

    Model M
  • forward and backward probability computation

    Formulas
  • probability of the incoming observation sequence

    Desired probability
  • parameters reestimation

    Formulas for mean, covariance, mixture weight and transition probability Formula for Gaussian mixture components