Sentiment analysis using image-based deep spectrum features. - Shahin Amiriparian; Nicholas Cummins; Sandra Ottl; Maurice Gerczuk; Björn W. Schuller (ACII Workshops, 2017)

Snore Sound Classification Using Image-Based Deep Spectrum Features. - Shahin Amiriparian; Maurice Gerczuk; Sandra Ottl; Nicholas Cummins; Michael Freitag 003; Sergey Pugachevskiy; Alice Baird; Björn W. Schuller (INTERSPEECH, 2017)

Multimodal Bag-of-Words for Cross Domains Sentiment Analysis. - Nicholas Cummins; Shahin Amiriparian; Sandra Ottl; Maurice Gerczuk; Maximilian Schmitt; Björn W. Schuller (ICASSP, 2018)

Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis. - Shahin Amiriparian; Maurice Gerczuk; Sandra Ottl; Nicholas Cummins; Sergey Pugachevskiy; Björn W. Schuller (IJCNN, 2018)

Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks. - Shahin Amiriparian; Alice Baird; Sahib Julka; Alyssa Alcorn; Sandra Ottl; Suncica Petrovic; Eloise Ainger; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2018)

Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks. - Shahin Amiriparian; Arsany Awad; Maurice Gerczuk; Lukas Stappen; Alice Baird; Sandra Ottl; Björn W. Schuller (IJCNN, 2019)

Emotion and Themes Recognition in Music Utilising Convolutional and Recurrent Neural Networks. - Shahin Amiriparian; Maurice Gerczuk; Eduardo Coutinho; Alice Baird; Sandra Ottl; Manuel Milling; Björn W. Schuller (MediaEval, 2019)

Group-level Speech Emotion Recognition Utilising Deep Spectrum Features. - Sandra Ottl; Shahin Amiriparian; Maurice Gerczuk; Vincent Karas; Björn W. Schuller (ICMI, 2020)

Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks. - Maurice Gerczuk; Shahin Amiriparian; Sandra Ottl; Srividya Tirunellai Rajamani; Björn W. Schuller (MediaEval, 2020)

Unsupervised Representation Learning with Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech. - Shahin Amiriparian; Pawel Winokurow; Vincent Karas; Sandra Ottl; Maurice Gerczuk; Björn W. Schuller (MuSe @ ACM Multimedia, 2020)

A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech. - Shahin Amiriparian; Pawel Winokurow; Vincent Karas; Sandra Ottl; Maurice Gerczuk; Björn W. Schuller (CoRR, 2020)

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks. - Shahin Amiriparian; Maurice Gerczuk; Sandra Ottl; Lukas Stappen; Alice Baird; Lukas Koebe; Björn W. Schuller (EURASIP J. Audio Speech Music. Process., 2020)

"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition. - Shahin Amiriparian; Nicholas Cummins; Maurice Gerczuk; Sergey Pugachevskiy; Sandra Ottl; Björn W. Schuller (IEEE Trans. Games, 2020)

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. - Björn W. Schuller; Anton Batliner; Christian Bergler; Cecilia Mascolo; Jing Han 010; Iulia Lefter; Heysem Kaya; Shahin Amiriparian; Alice Baird; Lukas Stappen; Sandra Ottl; Maurice Gerczuk; et al. (Interspeech, 2021)

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era. - Shahin Amiriparian; Artem Sokolov; Ilhan Aslan; Lukas Christ; Maurice Gerczuk; Tobias Hübner; Dmitry Lamanov; Manuel Milling; Sandra Ottl; Ilya Poduremennykh; Evgeniy Shuranov; Björn W. Schuller (CoRR, 2021)

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data. - Shahin Amiriparian; Tobias Hübner; Maurice Gerczuk; Sandra Ottl; Björn W. Schuller (CoRR, 2021)

A Machine Learning Framework for Automatic Prediction of Human Semen Motility. - Sandra Ottl; Shahin Amiriparian; Maurice Gerczuk; Björn W. Schuller (CoRR, 2021)

An Evaluation of Speech-Based Recognition of Emotional and Physiological Markers of Stress. - Alice Baird; Andreas Triantafyllopoulos; Sandra Zänkert; Sandra Ottl; Lukas Christ; Lukas Stappen; Julian Konzok; Sarah Sturmbauer; Eva-Maria Meßner; Brigitte M. Kudielka; Nicolas Rohleder; Harald Baumeister; et al. (Frontiers Comput. Sci., 2021)

Fatigue Prediction in Outdoor Running Conditions using Audio Data. - Andreas Triantafyllopoulos; Sandra Ottl; Alexander Gebhard 001; Esther Rituerto-González; Mirko Jaumann; Steffen Hüttner; Valerie Dieter; Patrick Schneeweiß; Inga Krauß; Maurice Gerczuk; Shahin Amiriparian; Björn W. Schuller (EMBC, 2022)

Improving Exertion and Wellbeing Prediction in Outdoor Running Conditions using Audio-based Surface Recognition. - Alexander Gebhard 001; Andreas Triantafyllopoulos; Shahin Amiriparian; Sandra Ottl; Valerie Dieter; Maurice Gerczuk; Mirko Jaumann; David Hildner; Patrick Schneeweiß; Inka Rösel; Inga Krauß; Björn W. Schuller (MMSports@MM, 2022)

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data. - Shahin Amiriparian; Tobias Hübner; Vincent Karas; Maurice Gerczuk; Sandra Ottl; Björn W. Schuller (Frontiers Artif. Intell., 2022)

EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition. - Maurice Gerczuk; Shahin Amiriparian; Sandra Ottl; Björn W. Schuller (IEEE Trans. Affect. Comput., 2023)

A summary of the ComParE COVID-19 challenges. - Harry Coppock; Alican Akman; Christian Bergler; Maurice Gerczuk; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Jing Han 010; et al. (Frontiers Digit. Health, 2023)

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. - Andreas Triantafyllopoulos; Alexander Kathan; Alice Baird; Lukas Christ; Alexander Gebhard 001; Maurice Gerczuk; Vincent Karas; Tobias Hübner; Xin Jing; Shuo Liu 012; Adria Mallol-Ragolta; Manuel Milling; et al. (Frontiers Digit. Health, 2023)