MATLAB-Based Speech Processing and Analysis Program Developed by International University

This MATLAB-based speech processing and analysis program, developed by an international university, implements a graphical user interface with advanced capabilities. The system employs digital signal processing algorithms for speech signal manipulation, including feature extraction using Mel-Frequency Cepstral Coefficients (MFCC), speech recognition through pattern matching techniques, and speech synthesis utilizing concatenative or parametric approaches. Through the intuitive GUI interface, users can efficiently perform various speech processing tasks such as waveform visualization, spectral analysis, and voice parameter modification. The program architecture incorporates optimized signal processing functions including FFT-based spectral analysis, digital filter design using FDA Tool, and voice activity detection algorithms. Designed with computational efficiency and accuracy, the system utilizes MATLAB's Signal Processing Toolbox and Audio System Toolbox for real-time audio processing capabilities. Whether for academic research in phonetics or engineering applications in voice-controlled systems, this program provides comprehensive support with its modular code structure, customizable parameters, and batch processing capabilities. The implementation includes error handling mechanisms and data validation routines to ensure reliable operation across different audio formats and sampling rates. For researchers and engineers interested in speech technology, this program offers an ideal development platform with well-documented source code and extensible module design.