Digital Signal Processing

• Sound as a signal: waveforms, amplitude, frequency, phase
• Sampling: Nyquist theorem, sample rate, aliasing, quantisation
• Time-domain analysis: energy, zero-crossing rate, autocorrelation
• Frequency-domain analysis: DFT, FFT, spectrograms, mel scale
• Mel-frequency cepstral coefficients (MFCCs): derivation and intuition
• Filtering: FIR and IIR filters, bandpass, low-pass, high-pass
• Windowing: Hamming, Hanning, rectangular, overlap-add
• Short-time Fourier transform (STFT) and time-frequency tradeoff