Recognition of vowel sequence based on HMM - part III

Occupacy likelihood of particular states of HMM

**Tasks to do: **

**Occupacy likelihood of particular states of HMM**- In prepared function
*myviterbi*save also the matrix of all forward probabilities*alpha*related to each state and time during the passing through HMM model. - Create also the
functions
*mybackviterbi*(analogous to*myviterbi*) which realizes backward computation of passing likelihood through HMM (i.e. from the last state to the first one using probabilities*beta*). Take as an input of this function again the matrix of feature vectors nad given HMM model. The output should be global probability of passing through the model same as the matrix of all backward probabilities*beta*for each state and each time. - 1st checked result (without any point):
display for utterances
*P0*,*P1*and*P2*- computed forward and backward probabilities of passing through HMM model for the utternace AEIOU,
- occupacy likelihood for all states and all times (attention, it
is necessary to use same colorscaling when occupaccy likelihood is
presented for different utterances
*P0*,*P1*and*P2*).

*Try also the computation of probabilities using standard forward or backward procedure respectively.*

- In prepared function