MATLAB Program for Speech Analysis
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Resource Overview
A MATLAB software tool for speech analysis developed by the Department of Electrical Engineering at the University of Texas, featuring algorithms for spectral analysis, feature extraction, and speech recognition applications.
Detailed Documentation
This is a MATLAB program developed by the Department of Electrical Engineering at the University of Texas for speech analysis. The MATLAB software tool assists users in speech analysis research by providing a comprehensive suite of functions and utilities for detailed processing and examination of speech signals. Key functionalities include spectral analysis algorithms (such as FFT-based frequency domain transformation), feature extraction methods (like MFCC calculation and pitch detection), and speech recognition frameworks. The software implements DSP techniques including digital filtering, windowing functions, and time-frequency analysis through MATLAB's Signal Processing Toolbox. With its user-friendly interface built using MATLAB's GUI components, the tool simplifies complex operations while maintaining analytical precision. Overall, this MATLAB program serves as a robust platform for speech analysis experiments and research, incorporating both classical signal processing approaches and modern machine learning implementations for pattern recognition.
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