Audio Morphing

This talk introduces a way to conduct audio morphings by imposing a constraint that can be used to smoothly connect two different audio spectra. The method exploits a formal analogy between the two spatial dimensions of Laplace’s partial differential equation and the two dimensions (time and frequency) of a spectrogram. This provides a concrete way of adjusting the overtones of a sound while smoothly interpolating between existing sounds. The approach can be applied to both interpolation morphing (where the morph connects two different sounds over some specified duration) and to repetitive morphing (where a series of sounds are generated, each containing progressively more features of one sound and fewer of the other). When successful, the timbre of the sounds is changed dynamically in a plausible way. A series of sound examples demonstrate the strengths and weaknesses of the approach