Michael Freitag

According to our database, Michael Freitag authored at least 7 papers between 2017 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification.

Shahin Arniriparian, Michael Freitag, Nicholas Cummins, Maurice Gerczuk, Sergey Pugachevskiy, Björn W. Schuller

Proceedings of the 26th European Signal Processing Conference, 2018

2017

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

Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Björn W. Schuller

J. Mach. Learn. Res., 2017

An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification.

Michael Freitag, Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Björn W. Schuller

Proceedings of the Interspeech 2017, 2017

Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results.

Alice Baird, Shahin Amiriparian, Nicholas Cummins, Alyssa M. Alcorn, Anton Batliner, Sergey Pugachevskiy, Michael Freitag, Maurice Gerczuk, Björn W. Schuller

Proceedings of the Interspeech 2017, 2017

Snore Sound Classification Using Image-Based Deep Spectrum Features.

Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael Freitag, Sergey Pugachevskiy, Alice Baird, Björn W. Schuller

Proceedings of the Interspeech 2017, 2017

Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio.

Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

Feature selection in multimodal continuous emotion prediction.

Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017