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)

Synchronization in Interpersonal Speech. - Shahin Amiriparian; Jing Han 010; Maximilian Schmitt; Alice Baird; Adria Mallol-Ragolta; Manuel Milling; Maurice Gerczuk; Björn W. Schuller (Frontiers Robotics AI, 2019)

Fairness and Underspecification in Acoustic Scene Classification: The Case for Disaggregated Evaluations. - Andreas Triantafyllopoulos; Manuel Milling; Konstantinos Drossos; Björn W. Schuller (DCASE, 2021)

Supervised Contrastive Learning for Game-Play Frustration Detection from Speech. - Meishu Song; Emilia Parada-Cabaleiro; Shuo Liu 012; Manuel Milling; Alice Baird; Zijiang Yang 007; Björn W. Schuller (HCI (7), 2021)

A Prototypical Network Approach for Evaluating Generated Emotional Speech. - Alice Baird; Silvan Mertes; Manuel Milling; Lukas Stappen; Thomas Wiest; Elisabeth André; Björn W. Schuller (Interspeech, 2021)

Emotion Recognition in Public Speaking Scenarios Utilising An LSTM-RNN Approach with Attention. - Alice Baird; Shahin Amiriparian; Manuel Milling; Björn W. Schuller (SLT, 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)

Depression Diagnosis and Forecast based on Mobile Phone Sensor Data. - Xiangheng He; Andreas Triantafyllopoulos; Alexander Kathan; Manuel Milling; Tianhao Yan; Srividya Tirunellai Rajamani; Ludwig Küster; Mathias Harrer; Elena Heber; Inga Grossmann; David D. Ebert; Björn W. Schuller (EMBC, 2022)

Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting. - Alexander Kathan; Andreas Triantafyllopoulos; Xiangheng He; Manuel Milling; Tianhao Yan; Srividya Tirunellai Rajamani; Ludwig Küster; Mathias Harrer; Elena Heber; Inga Grossmann; David D. Ebert; Björn W. Schuller (EMBC, 2022)

Online Personalisation of Deep Mobile Activity Recognisers. - Manuel Milling; Ilhan Aslan; Moritz Berghofer; Adria Mallol-Ragolta; Utkarsh Kunwar; Björn Wolfgang Schuller (iWOAR, 2022)

Predicting Sex and Stroke Success - Computer-aided Player Grunt Analysis in Tennis Matches. - Lukas Stappen; Manuel Milling; Valentin Munst; Korakot Hoffmann; Björn W. Schuller (CoRR, 2022)

Automatic Emotion Modelling in Written Stories. - Lukas Christ; Shahin Amiriparian; Manuel Milling; Ilhan Aslan; Björn W. Schuller (CoRR, 2022)

Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children. - Manuel Milling; Alice Baird; Katrin D. Bartl-Pokorny; Shuo Liu 012; Alyssa M. Alcorn; Jie Shen 008; Teresa Tavassoli; Eloise Ainger; Elizabeth Pellicano; Maja Pantic; Nicholas Cummins; Björn W. Schuller (Frontiers Comput. Sci., 2022)

Personalised depression forecasting using mobile sensor data and ecological momentary assessment. - Alexander Kathan; Mathias Harrer; Ludwig Küster; Andreas Triantafyllopoulos; Xiangheng He; Manuel Milling; Maurice Gerczuk; Tianhao Yan; Srividya Tirunellai Rajamani; Elena Heber; Inga Grossmann; David D. Ebert; et al. (Frontiers Digit. Health, 2022)

Is Speech the New Blood? Recent Progress in AI-Based Disease Detection From Audio in a Nutshell. - Manuel Milling; Florian B. Pokorny; Katrin D. Bartl-Pokorny; Björn W. Schuller (Frontiers Digit. Health, 2022)

NeuroCellCentreDB: Exploring a Novel Dataset for Neuron-like Cell Centre Detection with Deep Neural Networks. - Manuel Milling; Michelle Lienhart; Yuliia Oksymets; Alexander Gebhard 001; Manuel Brugger; Christoph Westerhausen; Björn W. Schuller (EMBC, 2023)

NeuroCellCentreDB. - Manuel Milling; Michelle Lienhart; Yuliia Oksymets; Alexander Gebhard 001; Manuel Brugger; Christoph Westerhausen; Björn W. Schuller (Zenodo, 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)

Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning. - Lukas Christ; Shahin Amiriparian; Manuel Milling; Ilhan Aslan; Björn W. Schuller (ACL (Findings), 2024)

An Automatic Analysis of Ultrasound Vocalisations for the Prediction of Interaction Context in Captive Egyptian Fruit Bats. - Andreas Triantafyllopoulos; Alexander Gebhard 001; Manuel Milling; Simon David Noel Rampp; Björn W. Schuller (EUSIPCO, 2024)

Bringing the Discussion of Minima Sharpness to the Audio Domain: A Filter-Normalised Evaluation for Acoustic Scene Classification. - Manuel Milling; Andreas Triantafyllopoulos; Iosif Tsangko; Simon David Noel Rampp; Björn Wolfgang Schuller (ICASSP, 2024)

Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition. - Oliver Schrüfer; Manuel Milling; Felix Burkhardt; Florian Eyben; Björn W. Schuller (INTERSPEECH, 2024)

INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition. - Andreas Triantafyllopoulos; Anton Batliner; Simon David Noel Rampp; Manuel Milling; Björn W. Schuller (INTERSPEECH, 2024)

Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning. - Simon David Noel Rampp; Manuel Milling; Andreas Triantafyllopoulos; Björn W. Schuller (CoRR, 2024)

From Audio Deepfake Detection to AI-Generated Music Detection - A Pathway and Overview. - Yupei Li; Manuel Milling; Lucia Specia; Björn W. Schuller (CoRR, 2024)

autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks. - Simon David Noel Rampp; Andreas Triantafyllopoulos; Manuel Milling; Björn W. Schuller (CoRR, 2024)

Detecting Document-level Paraphrased Machine Generated Content: Mimicking Human Writing Style and Involving Discourse Features. - Yupei Li; Manuel Milling; Lucia Specia; Björn W. Schuller (CoRR, 2024)

Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment. - Jiangjian Xie; Yuwei Shi; Dongming Ni; Manuel Milling; Shuo Liu 012; Junguo Zhang; Kun Qian 003; Björn W. Schuller (IEEE Internet Things J., 2024)

Audio Enhancement for Computer Audition - An Iterative Training Paradigm Using Sample Importance. - Manuel Milling; Shuo Liu 012; Andreas Triantafyllopoulos; Ilhan Aslan; Björn W. Schuller (J. Comput. Sci. Technol., 2024)

Challenges in Observing the Emotions of Children with Autism Interacting with a Social Robot. - Duygun Erol Barkana; Katrin D. Bartl-Pokorny; Hatice Kose; Agnieszka Landowska; Manuel Milling; Ben Robins; Björn W. Schuller; Pinar Uluer; Michal R. Wróbel; Tatjana Zorcec (Int. J. Soc. Robotics, 2024)

Audio-Based Kinship Verification Using Age Domain Conversion. - Qiyang Sun; Alican Akman; Xin Jing; Manuel Milling; Björn W. Schuller (IEEE Signal Process. Lett., 2025)

Neuroplasticity in Artificial Intelligence - An Overview and Inspirations on Drop In & Out Learning. - Yupei Li; Manuel Milling; Björn W. Schuller (CoRR, 2025)

Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge. - Yupei Li; Shuaijie Shao; Manuel Milling; Björn W. Schuller (CoRR, 2025)