MATLAB Implementation of Speech Filtering with Frequency Domain Analysis
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Resource Overview
This MATLAB program implements speech filtering functionality, capable of computing and displaying amplitude-frequency characteristics of speech signals, magnitude and phase responses of Butterworth low-pass filters, frequency domain characteristics after noise introduction, and DFT amplitude-frequency characteristics after filtering. The implementation includes audio files for testing and demonstrates key signal processing operations including FFT analysis, filter design using butter() function, and frequency domain visualization techniques.
Detailed Documentation
This program is a speech filtering application developed using MATLAB, designed to compute and visualize the amplitude-frequency characteristics of speech signals, magnitude and phase responses of Butterworth low-pass filters, frequency domain characteristics after noise introduction, and DFT amplitude-frequency characteristics post-filtering. The implementation includes essential audio files for experimentation and hands-on practice. Through this program, users can gain comprehensive understanding of various aspects of speech signal processing and acquire substantial practical experience. The code demonstrates important signal processing techniques including Fast Fourier Transform (FFT) analysis for frequency domain representation, Butterworth filter design using MATLAB's signal processing toolbox functions, and proper handling of audio I/O operations for real speech signal processing applications.
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