lab2_speech

Group Repository for lab2

Task

The overall task is to implement and test methods for isolated word recognition:
• combine phonetic HMMs into word HMMs using a lexicon
• implement the forward-backward algorithm
• use it compute the log likelihood of spoken utterances given a Gaussian HMM
• perform isolated word recognition
• implement the Viterbi algorithm, and use it to compute Viterbi path and likelihood
• compare and comment Viterbi and Forward likelihoods
• implement the Baum-Welch algorithm to update the parameters of the emission probability distributions

Dependencies

• Numpy 1.16.0
• mat loitlib 2.2.3
The two dependencies can be installed using pip by running

pip install -r requirements.txt

Run

python main.py