Speech Recognition Algorithms with MATLAB Implementation

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Resource Overview

This document contains various algorithms used in speech recognition systems, including frame-based processing algorithms, MFCC (Mel-Frequency Cepstral Coefficients) computation, and cepstral analysis algorithms, all implemented using MATLAB. The package also includes an audio sample file for testing and demonstration purposes.

Detailed Documentation

This document contains several algorithms essential for speech recognition systems, including core speech recognition algorithms, frame-based processing algorithms, and implementations for computing MFCC (Mel-Frequency Cepstral Coefficients) and cepstral analysis. All algorithms are implemented using MATLAB, featuring key functions for audio preprocessing, feature extraction, and signal analysis. The implementation includes frame blocking for dividing speech signals into short segments, windowing techniques using Hamming windows, and FFT-based spectral analysis. Additionally, the package contains an audio file that serves as test data for demonstrating the algorithms' functionality. The primary objective of this document is to explain the underlying principles and practical applications of these algorithms, enabling readers to better understand and utilize them in speech processing projects.

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