In this research, we present an interface based on Variational Autoencoders
trained with a wide range of natural sounds for the innovative creation of
Foley effects. The model can transfer new sound features to prerecorded audio
or microphone-captured speech in real time. In addition, it allows interactive
modification of latent variables, facilitating precise and customized artistic
adjustments. Taking as a starting point our previous study on Variational
Autoencoders presented at this same congress last year, we analyzed an existing
implementation: RAVE [1]. This model has been specifically trained for audio
effects production. Various audio effects have been successfully generated,
ranging from electromagnetic, science fiction, and water sounds, among others
published with this work. This innovative approach has been the basis for the
artistic creation of the first Spanish short film with sound effects assisted
by artificial intelligence. This milestone illustrates palpably the
transformative potential of this technology in the film industry, opening the
door to new possibilities for sound creation and the improvement of artistic
quality in film productions.Comment: 9 pages, in Spanish, Tecniac\'ustic