Dual Display of Waveform and Spectrum Recording

The dual display of waveform and spectrum recording allows direct speech input into MATLAB for comprehensive audio analysis. The system enables manual segmentation of speech waveforms and creation of label files through dedicated labeling functions. Waveform editing features include cutting, copying, and pasting operations implemented using MATLAB's signal processing toolbox. Formant analysis displays resonance tracks for F1, F2, and F3 frequencies using linear predictive coding (LPC) algorithms. Pitch analysis incorporates filtering tools with adjustable cutoff frequencies for speech signal processing, implemented through digital filter design functions. The spectral comparison tool measures distance between two waveforms using multiple metrics such as spectral centroid difference and Mel-frequency cepstral coefficients (MFCC) distance. Noise addition functionality supports various noise types and injection methods using MATLAB's awgn function. Additional audio processing tools include reverberation effects using convolution with impulse responses and equalizer adjustments through parametric filter implementations. These tools enable detailed speech signal analysis and processing for obtaining accurate results. By incorporating more speech samples and performing statistical analysis using MATLAB's statistical toolbox, the system further enhances analysis accuracy and reliability through pattern recognition and machine learning approaches. Overall, these integrated tools and methods facilitate better understanding and processing of speech signals for research and application development.