Introduction

DCASE-models is an open-source Python library for rapid prototyping of environmental sound analysis systems, with an emphasis on deep–learning models. The project is on GitHub.

It’s main features / design goals are:

• ease of use,
• rapid prototyping of environmental sound analysis systems,
• a simple and lightweight set of basic components that are generally part of a computational environmental audio analysis system,
• a collection of functions for dataset handling, data preparation, feature extraction, and evaluation (most of which rely on existing tools),
• a model interface to standardize the interaction of machine learning methods with the other system components,
• an abstraction layer to make the library independent of the backend used to implement the machine learning model,
• inclusion of reference implementations for several state-of-the-art algorithms.

DCASE-models is a work in progress, thus input is always welcome.

The available documentation is limited for now, but you can help to improve it.