Hidden Markov Model

Hello Dr. Wang! This is a simulation of the Hidden Markov Model as it is applied in the field of automated speech recognition. The model accepts a String sequence of observations of vocabulary {"1", "2", "3"} and computes the probability of observation sequences (likelihoods) and then decodes the input to produce the hidden state sequence.

This software uses the Google Guava library version 13.0.1.

Installation

• Simply clone the master branch as follows:

  git clone -b `master` https://github.com/dvijayak/HiddenMarkovModel.git
  

  OR

  Download a ZIP archive of the source from here

• Compile and Run as follows:

  javac -d bin -sourcepath src -cp libs/guava-13.0.1.jar src/markov/HiddenMarkovModel.java
  java -cp bin;libs/guava-13.0.1.jar markov.HiddenMarkovModel
  

Optional Command-Line Arguments:

ATTENTION: COMMAND-LINE ARGUMENTS ARE BROKEN AT THE MOMENT - SORRY!

The program accepts the input sequence from stdin. You also have the option of inputing the String as a command-line argument For example:

java -cp bin;libs/guava-13.0.1.jar markov.HiddenMarkovModel 3133132

Caution

PLEASE only use the vocabulary {"1", "2", "3"}. The model does not reject observations that do not exist in the vocabulary YET. Your application will crash if you do not heed this warning.

Thank you!