MusicFactory: Application of a Convolutional Neural Network for the Generation of Soundscapes from Images

A soundscape is a sound description of a concrete environment. Therefore, the soundscapes are always connected to a visual component, as it might capture sounds from an urban city, a countryside, or a domestic place. In this work, we present a system that generate soundscapes from images. Firstly, we recognize some objects in the image. In a second step the system searches the most adequate sounds according to the entities identified in the picture. Finally, a soundscape is synthesized by combining the short sound files found. The results obtained according to the subjective evaluation are promising and encouraging to deepen our research in the soundscape generation.