Voice Signal Processing

In this task, you will complete the following steps to design a signal processing system interface: 1. Record a segment of your own voice signal and perform sampling on the recorded signal. Ensure high recording quality for subsequent processing and analysis. Implement sampling using appropriate sampling rates (e.g., 8 kHz or 16 kHz) while considering Nyquist theorem requirements. 2. After sampling, plot both the time-domain waveform and spectrogram of the sampled voice signal. This visualization helps understand signal characteristics and frequency distribution. Use FFT algorithms for spectral analysis and matplotlib/seaborn for visualization. 3. Based on given filter performance specifications (passband/stopband frequencies, ripple requirements), design a filter using the window function method (e.g., Hamming, Hanning) and bilinear transform technique. Ensure the design meets required filtering effects through proper filter order selection and parameter tuning. 4. After designing the filter, plot its frequency response (magnitude and phase). This helps evaluate the filter's attenuation and gain characteristics across different frequencies. Use freqz() function for frequency response calculation. 5. Apply your designed filter to process the acquired signal using convolution or filter() function. Plot the filtered signal's time-domain waveform and spectrogram. Compare pre- and post-filtering signals to analyze changes in frequency components and signal quality. 6. After filtering, playback the processed voice signal using audio playback functions. Listen to the signal changes to subjectively evaluate the filter's effectiveness in enhancing or modifying audio characteristics. 7. Finally, design a comprehensive signal processing system interface using GUI frameworks (like Tkinter or MATLAB App Designer). The interface should integrate recording, sampling, filtering, and playback operations with intuitive controls. Ensure user-friendly design with real-time visualization capabilities for efficient signal processing workflows. By completing these steps, you will design a complete signal processing system interface capable of performing voice signal recording, sampling, filtering, and playback operations with proper technical implementation and analysis.