Michael Freitag

Publication Activity (10 Years)

Years Active: 2017-2018
Publications (10 Years): 8

Top Topics

Features Extraction

Automatic Classification

Recurrent Neural Networks

Unsupervised Learning

Top Venues

Publications

Shahin Arniriparian, Michael Freitag, Nicholas Cummins, Maurice Gerczuk, Sergey Pugachevskiy, Björn W. Schuller
A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification. EUSIPCO (2018)
Michael Freitag, Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Björn W. Schuller
An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification. INTERSPEECH (2017)
Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael Freitag, Sergey Pugachevskiy, Alice Baird, Björn W. Schuller
Snore Sound Classification Using Image-Based Deep Spectrum Features. INTERSPEECH (2017)
Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller
Feature selection in multimodal continuous emotion prediction. ACII Workshops (2017)
Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. DCASE (2017)
Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Björn W. Schuller
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks. CoRR (2017)
Alice Baird, Shahin Amiriparian, Nicholas Cummins, Alyssa M. Alcorn, Anton Batliner, Sergey Pugachevskiy, Michael Freitag, Maurice Gerczuk, Björn W. Schuller
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results. INTERSPEECH (2017)
Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Björn W. Schuller
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks. J. Mach. Learn. Res. 18 (2017)