auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks; Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Björn Schuller

auDeep is a Python toolkit for deep unsupervised representation
learning from acoustic data. It is based on a recurrent sequence
to sequence autoencoder approach which can learn representations
of time series data by taking into account their temporal
dynamics. We provide an extensive command line interface in
addition to a Python API for users and developers, both of which
are comprehensively documented and publicly available at

***

Note from Journals.Today : This content has been auto-generated from a syndicated feed.