MAVD-traffic dataset

This is a dataset for sound event detection in urban environments, which is the first of a series of datasets planned within an ongoing research project for urban noise monitoring in Montevideo city, Uruguay. The dataset is called MAVD for Montevideo Audio and Video Dataset. This release focuses on traffic noise, hence the name MAVD-traffic, as it is usually the predominant noise source in urban environments. Apart from audio recordings it also includes synchronized video files. The sound event annotations follow an ontology for traffic sounds that is the combination of a set of two taxonomies: vehicle types (e.g. car, bus) and vehicle components (e.g.engine, brakes), and a set of actions related to them (e.g. idling, accelerating). Thus, the proposed ontology allows for a flexible and detailed description of traffic sounds. Since the taxonomies follow a hierarchy it can be used with different levels of detail. The dataset was presented in: Pablo Zinemanas, Pablo Cancela and Martín Rocamora. "MAVD: a dataset for sound event detection in urban environments." DCASE 2019 Workshop, 25-26 October 2019, New York, USA When MAVD-traffic is used for academic research, we would highly appreciate it if scientific publications cite the previous paper.