  We present the Latent Timbre Synthesis (LTS), a new audio synthesis method
using Deep Learning. The synthesis method allows composers and sound designers
to interpolate and extrapolate between the timbre of multiple sounds using the
latent space of audio frames. We provide the details of two Variational
Autoencoder architectures for LTS, and compare their advantages and drawbacks.
The implementation includes a fully working application with graphical user
interface, called \textit{interpolate\_two}, which enables practitioners to
explore the timbre between two audio excerpts of their selection using
interpolation and extrapolation in the latent space of audio frames. Our
implementation is open-source, and we aim to improve the accessibility of this
technology by providing a guide for users with any technical background.
