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Explore audio analysis and manipulation through hands-on experimentation with the Short-Time Fourier Transform in this 21-minute coding tutorial. Learn how to break down audio signals into their frequency components over time, understanding the trade-offs between time and frequency resolution. Discover how to create spectrograms that visualize sound as colorful frequency maps, and experiment with windowing functions like the Hann window to improve analysis quality. Master the concepts of hop size and segment size for optimal audio processing, then reverse the process to convert spectrograms back into sound. Engage with creative applications including painting with sound and hiding secret messages in audio files, while gaining practical experience with audio processing algorithms and visualization techniques.
