auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks

12 Dec 2017Michael FreitagShahin AmiriparianSergey PugachevskiyNicholas CumminsBjörn 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... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.