Training Speech Signals with Baum Algorithm in HMM Models for Speech Recognition using MATLAB
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Resource Overview
MATLAB source code implementation of Baum algorithm for training speech signals in Hidden Markov Model (HMM) based speech recognition systems
Detailed Documentation
In Hidden Markov Model (HMM) based speech recognition systems, MATLAB can be effectively utilized for training speech signals. The training process employs Baum algorithm source code to optimize and adjust model parameters. The implementation typically involves key functions such as forward-backward algorithm computation for probability estimation and expectation-maximization steps for parameter re-estimation. Through this approach, we can achieve better understanding and recognition of speech signals by iteratively refining state transition probabilities and observation distributions using Baum-Welch optimization techniques.
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