Dataset Open Access

SimSceneTVB Learning

Gontier, Felix; Lagrange, Mathieu; Aumond, Pierre; Lavandier, Catherine; Petiot, Jean-François

This is a dataset of 600 simulated sound scenes of 45s each representing urban sound environments, simulated using the simScene Matlab library ( The dataset is divided in two parts with a train subset (400 scenes) and a test subset (200 scenes) for the development of learning-based models.

Each scene is composed of three main sources (traffic, human voices and birds) according to an original scenario, which is composed semi-randomly conditionally to five ambiances: park, quiet street, noisy street, very noisy street and square. Separate channels for the contribution of each source are available. The base audio files used for simulation are obtained from Freesound ( and LibriSpeech ( The sound scenes are scaled according to a playback sound level in dB, which is drawn randomly but remains plausible according to the ambiance.

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