How does the state of the process is described in HMM?a) Literalb) Single random variablec) Single discrete random variabled) None of the mentioned

The state of the process in a Hidden Markov Model (HMM) is described by a single discrete random variable. So, the correct answer is c) Single discrete random variable.

Here's a step-by-step explanation:

1. In a Hidden Markov Model, we have a sequence of observable variables and a sequence of hidden states. The hidden states follow a Markov process, which means the probability of each state depends only on the previous state.

2. Each hidden state is a single discrete random variable. This means it can take on a finite or countably infinite number of possible values.

3. The state of the process at any given time is completely described by this single discrete random variable. This is because in a Markov process, the future states are conditionally independent of the past states given the present state.

4. Therefore, the state of the process in an HMM is not literal (option a), it is not just any single random variable (option b), and option d (none of the mentioned) is also incorrect.