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Where does the Hidden Markov Model is used?a) Speech recognitionb) Understanding of real worldc) Both Speech recognition & Understanding of real worldd) None of the mentioned

Question

Where does the Hidden Markov Model is used?a) Speech recognitionb) Understanding of real worldc) Both Speech recognition & Understanding of real worldd) None of the mentioned

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Solution

The Hidden Markov Model is used in both Speech recognition and Understanding of real world. So, the correct answer is c) Both Speech recognition & Understanding of real world.

Here's why:

a) Speech recognition: Hidden Markov Models are used in speech recognition because they can model the statistical properties of the speech signal. They can capture the temporal dependencies in the speech signal, which are crucial for recognizing spoken words.

b) Understanding of real world: Hidden Markov Models are also used in various applications to understand real world phenomena. For example, they are used in bioinformatics for gene prediction, in finance for stock market prediction, in robotics for path planning, etc. These are all real world problems where the underlying system is not fully observable, and Hidden Markov Models can help in understanding and predicting the behavior of these systems.

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