Spectrogram Plotting for Speech Signals
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This text describes the implementation of speech signal spectrogram plotting using MATLAB. The process allows parameter adjustments to achieve desired visualization results. Users can modify plot colors, line thickness, or image dimensions through MATLAB's graphical properties. Furthermore, different filter types or window functions (e.g., Hamming, Hanning windows) can be applied using functions like spectrogram() or custom STFT implementations to alter spectral representation characteristics. The algorithm typically involves framing the signal, applying window functions, computing FFT magnitudes, and visualizing the time-frequency distribution. By experimenting with these adjustable parameters and processing techniques, users can generate more precise and clearer spectrograms, enabling better analysis and interpretation of speech signal features including formant structures and temporal variations.
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