This project explores the implementation of speech recognition techniques using Hidden Markov Models (HMMs) and Mel-Frequency Cepstral Coefficients (MFCCs). It provides a foundational understanding of these methods through practical examples and code.
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forward algorithm.ipynb: Demonstrates the implementation of the forward algorithm, a fundamental component in HMMs, applied to speech recognition tasks. -
hmm.ipynb: Provides an in-depth look into constructing and utilizing Hidden Markov Models for modeling sequential data in speech. -
mfcc.ipynb: Focuses on the extraction and analysis of Mel-Frequency Cepstral Coefficients, which are critical features used in processing and recognizing speech signals.