Spectral filtering of an audio signal:

Multiply each spectral component by its frequency:

Multiply each spectral component by the time:

Mutate between two sounds:

Multiply the two short-time Fourier transforms:

Use the magnitude of the first audio and the phase of the second:

Process the audio track of a video:

Denoise an audio signal by eliminating all components with small amplitude:

Create a lowpass filter by removing components smaller than 1000Hz:

Create a highpass filter:

Zero out all the components at times smaller than 0.5 seconds:

Assign a random phase to all the components to achieve a whisper effect:

Assign a phase equal to zero to all the components to achieve a robot-like result:

Lower the amplitude of quiet components, effectively performing a simple denoise:

Completely zero out the quiet components:

Create a time-dependent highpass filter:

Denoise a signal by subtracting a noise profile:

Trim a part of the signal that contains only noise:

Compute the magnitude spectrum of the noise:

Smooth the result:

Create an interpolating function on the frequency domain using the smoothed noise spectrum:

Subtract from each component the corresponding noise spectrum magnitude:

Apply identity to each spectral component:

This operation is not an identity operation, due to the overlap and add during the inverse transform:

However, the result only has small discrepancies compared to the original signal: