Speech Recognition Implementation Using MATLAB

I implemented a speech recognition system using MATLAB software and conducted experiments with custom collected voice data. In this research, I successfully converted speech signals into text through comprehensive audio signal processing and analysis. The implementation involved key MATLAB functions such as audio recording (audiorecorder), signal preprocessing (filtering and normalization using butter and filtfilt functions), feature extraction (MFCC coefficients via mfcc function), and pattern recognition algorithms (using machine learning classifiers like SVM or HMM). This study contributes significantly to speech recognition technology development and has practical applications in various fields including voice assistants, smart home systems, and human-computer interaction interfaces. The system architecture demonstrates effective handling of audio segmentation, noise reduction, and phonetic pattern matching through optimized MATLAB code implementation.