Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion. - Fabien Ringeval; Shahin Amiriparian; Florian Eyben; Klaus R. Scherer; Björn W. Schuller (ICMI, 2014)

Is Deception Emotional? An Emotion-Driven Predictive Approach. - Shahin Amiriparian; Jouni Pohjalainen; Erik Marchi; Sergey Pugachevskiy; Björn W. Schuller (INTERSPEECH, 2016)

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

Feature selection in multimodal continuous emotion prediction. - Shahin Amiriparian; Michael Freitag 003; Nicholas Cummins; Björn W. Schuller (ACII Workshops, 2017)

CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms. - Shahin Amiriparian; Sergey Pugachevskiy; Nicholas Cummins; Simone Hantke; Jouni Pohjalainen; Gil Keren; Björn W. Schuller (ACII, 2017)

Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. - Shahin Amiriparian; Michael Freitag 003; Nicholas Cummins; Björn W. Schuller (DCASE, 2017)

"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection. - Nicholas Cummins; Maximilian Schmitt; Shahin Amiriparian; Jarek Krajewski; Björn W. Schuller (EMBC, 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)

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 003; Maurice Gerczuk; Björn W. Schuller (INTERSPEECH, 2017)

An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification. - Michael Freitag 003; Shahin Amiriparian; Nicholas Cummins; Maurice Gerczuk; Björn W. Schuller (INTERSPEECH, 2017)

An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech. - Nicholas Cummins; Shahin Amiriparian; Gerhard Hagerer; Anton Batliner; Stefan Steidl; Björn W. Schuller (ACM Multimedia, 2017)

auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks. - Michael Freitag 003; Shahin Amiriparian; Sergey Pugachevskiy; Nicholas Cummins; Björn W. Schuller (J. Mach. Learn. Res., 2017)

Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification. - Shahin Amiriparian; Maximilian Schmitt; Nicholas Cummins; Kun Qian 003; Fengquan Dong; Björn W. Schuller (EMBC, 2018)

Low Level Texture Features for Snore Sound Discrimination. - Fatih Demir; Abdulkadir Sengür; Nicholas Cummins; Shahin Amiriparian; Björn W. Schuller (EMBC, 2018)

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)

The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Peter B. Marschik; Harald Baumeister; Fengquan Dong; Simone Hantke; Florian B. Pokorny; Eva-Maria Rathner; Katrin D. Bartl-Pokorny; Christa Einspieler; Dajie Zhang; et al. (INTERSPEECH, 2018)

AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. - Fabien Ringeval; Björn W. Schuller; Michel F. Valstar; Roddy Cowie; Heysem Kaya; Maximilian Schmitt; Shahin Amiriparian; Nicholas Cummins; Denis Lalanne; Adrien Michaud; Elvan Çiftçi; Hüseyin Güleç; et al. (AVEC@MM, 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)

Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test. - Alice Baird; Shahin Amiriparian; Nicholas Cummins; Sarah Sturmbauer; Johanna Janson; Eva-Maria Meßner; Harald Baumeister; Nicolas Rohleder; Björn W. Schuller (INTERSPEECH, 2019)

The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. - Björn W. Schuller; Anton Batliner; Christian Bergler; Florian B. Pokorny; Jarek Krajewski; Margaret Cychosz; Ralf Vollmann; Sonja-Dana Roelen; Sebastian Schnieder; Elika Bergelson; Alejandrina Cristià; Amanda Seidl; et al. (INTERSPEECH, 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)

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. - Fabien Ringeval; Björn W. Schuller; Michel F. Valstar; Nicholas Cummins; Roddy Cowie; Leili Tavabi; Maximilian Schmitt; Sina Alisamir; Shahin Amiriparian; Eva-Maria Meßner; Siyang Song; Shuo Liu 012; et al. (AVEC@MM, 2019)

Predicting Biological Signals from Speech: Introducing a Novel Multimodal Dataset and Results. - Alice Baird; Shahin Amiriparian; Miriam Berschneider; Maximilian Schmitt; Björn W. Schuller (MMSP, 2019)

Can Deep Generative Audio be Emotional? Towards an Approach for Personalised Emotional Audio Generation. - Alice Baird; Shahin Amiriparian; Björn W. Schuller (MMSP, 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)

Deep Representation Learning Techniques for Audio Signal Processing. - Shahin Amiriparian (2019)

Humans Inside: Cooperative Big Multimedia Data Mining. - Shahin Amiriparian; Maximilian Schmitt; Simone Hantke; Vedhas Pandit; Björn W. Schuller (Innovations in Big Data Mining and Embedded Knowledge, 2019)

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

Toward Silent Paralinguistics: Speech-to-EMG - Retrieving Articulatory Muscle Activity from Speech. - Catarina Botelho; Lorenz Diener; Dennis Küster; Kevin Scheck; Shahin Amiriparian; Björn W. Schuller; Tanja Schultz; Alberto Abad; Isabel Trancoso (INTERSPEECH, 2020)

Towards Silent Paralinguistics: Deriving Speaking Mode and Speaker ID from Electromyographic Signals. - Lorenz Diener; Shahin Amiriparian; Catarina Botelho; Kevin Scheck; Dennis Küster; Isabel Trancoso; Björn W. Schuller; Tanja Schultz (INTERSPEECH, 2020)

Deep Attentive End-to-End Continuous Breath Sensing from Speech. - Alexis Deighton MacIntyre; Georgios Rizos; Anton Batliner; Alice Baird; Shahin Amiriparian; Antonia F. de C. Hamilton; Björn W. Schuller (INTERSPEECH, 2020)

The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. - Björn W. Schuller; Anton Batliner; Christian Bergler; Eva-Maria Messner; Antonia F. de C. Hamilton; Shahin Amiriparian; Alice Baird; Georgios Rizos; Maximilian Schmitt; Lukas Stappen; Harald Baumeister; Alexis Deighton MacIntyre; et al. (INTERSPEECH, 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)

The voice of COVID-19: Acoustic correlates of infection. - Katrin D. Bartl-Pokorny; Florian B. Pokorny; Anton Batliner; Shahin Amiriparian; Anastasia Semertzidou; Florian Eyben; Elena Kramer; Florian Schmidt; Rainer Schönweiler; Markus Wehler; 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)

AI Hears Your Health: Computer Audition for Health Monitoring. - Shahin Amiriparian; Björn W. Schuller (IHAW, 2021)

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)

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)

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)

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)

Distinguishing between pre- and post-treatment in the speech of patients with chronic obstructive pulmonary disease. - Andreas Triantafyllopoulos; Markus Fendler; Anton Batliner; Maurice Gerczuk; Shahin Amiriparian; Thomas M. Berghaus; Björn W. Schuller (INTERSPEECH, 2022)

The Dos and Don'ts of Affect Analysis. - Shahin Amiriparian (MuSe @ ACM Multimedia, 2022)

MuSe 2022 Challenge: Multimodal Humour, Emotional Reactions, and Stress. - Shahin Amiriparian; Lukas Christ; Andreas König 007; Eva-Maria Meßner; Alan Cowen; Erik Cambria; Björn W. Schuller (ACM Multimedia, 2022)

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. - Lukas Christ; Shahin Amiriparian; Alice Baird; Panagiotis Tzirakis; Alexander Kathan; Niklas Müller; Lukas Stappen; Eva-Maria Meßner; Andreas König 007; Alan Cowen; Erik Cambria; Björn W. Schuller (MuSe @ ACM Multimedia, 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)

A Personalised Approach to Audiovisual Humour Recognition and its Individual-level Fairness. - Alexander Kathan; Shahin Amiriparian; Lukas Christ; Andreas Triantafyllopoulos; Niklas Müller; Andreas König 007; Björn W. Schuller (MuSe @ ACM Multimedia, 2022)

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. - Björn W. Schuller; Anton Batliner; Shahin Amiriparian; Christian Bergler; Maurice Gerczuk; Natalie Holz; Pauline Larrouy-Maestri; Sebastian P. Bayerl; Korbinian Riedhammer; Adria Mallol-Ragolta; Maria Pateraki; Harry Coppock; et al. (ACM Multimedia, 2022)

Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results. - Lukas Christ; Shahin Amiriparian; Alexander Kathan; Niklas Müller; Andreas König 007; Björn W. Schuller (CoRR, 2022)

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

Face mask recognition from audio: The MASC database and an overview on the mask challenge. - Mostafa M. Mohamed; Mina A. Nessiem; Anton Batliner; Christian Bergler; Simone Hantke; Maximilian Schmitt; Alice Baird; Adria Mallol-Ragolta; Vincent Karas; Shahin Amiriparian; Björn W. Schuller (Pattern Recognit., 2022)

Passau-SFCH. - Lukas Christ; Shahin Amiriparian; Alexander Kathan; Niklas Müller; Andreas König 007; Björn W. Schuller (Zenodo, 2022)

Universal Lesion Detection Utilising Cascading R-CNNs and a Novel Video Pretraining Method. - Shahin Amiriparian; Alexander Meiners; Daniel Lukas Rothenpieler; Alexander Kathan; Maurice Gerczuk; Björn W. Schuller (EMBC, 2023)

Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation. - Maurice Gerczuk; Shahin Amiriparian; Alexander Kathan; Jonathan Bauer; Matthias Berking 002; Björn W. Schuller (EMBC, 2023)

METEOR Guided Divergence for Video Captioning. - Daniel Lukas Rothenpieler; Shahin Amiriparian (IJCNN, 2023)

Speech-Based Classification of Defensive Communication: A Novel Dataset and Results. - Shahin Amiriparian; Lukas Christ; Regina Kushtanova; Maurice Gerczuk; Alexandra Teynor; Björn W. Schuller (INTERSPEECH, 2023)

The effect of clinical intervention on the speech of individuals with PTSD: features and recognition performances. - Alexander Kathan; Andreas Triantafyllopoulos; Shahin Amiriparian; Sabrina Milkus; Alexander Gebhard 001; Jonas Hohmann; Pauline Muderlak; Jürgen Schottdorf; Björn W. Schuller; Richard Musil (INTERSPEECH, 2023)

Analysis and automatic prediction of exertion from speech: Contrasting objective and subjective measures collected while running. - Andreas Triantafyllopoulos; Alexander Gebhard 001; Alexander Kathan; Maurice Gerczuk; Shahin Amiriparian; Björn W. Schuller (INTERSPEECH, 2023)

MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects. - Shahin Amiriparian; Lukas Christ; Andreas König 007; Alan Cowen; Eva-Maria Meßner; Erik Cambria; Björn W. Schuller (ACM Multimedia, 2023)

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. - Björn W. Schuller; Anton Batliner; Shahin Amiriparian; Alexander Barnhill; Maurice Gerczuk; Andreas Triantafyllopoulos; Alice E. Baird; Panagiotis Tzirakis; Chris Gagne 001; Alan S. Cowen; Nikola Lackovic; Marie-José Caraty; et al. (ACM Multimedia, 2023)

Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning. - Alexander Kathan; Shahin Amiriparian; Alexander Gebhard 001; Andreas Triantafyllopoulos; Maurice Gerczuk; Björn W. Schuller (MMSports@MM, 2023)

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. - Lukas Christ; Shahin Amiriparian; Alice Baird; Alexander Kathan; Niklas Müller; Steffen Klug; Chris Gagne 001; Panagiotis Tzirakis; Lukas Stappen; Eva-Maria Meßner; Andreas König 007; Alan Cowen; et al. (MuSe@ACM Multimedia, 2023)

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. - Lukas Christ; Shahin Amiriparian; Alice Baird; Alexander Kathan; Niklas Müller; Steffen Klug; Chris Gagne 001; Panagiotis Tzirakis; Eva-Maria Meßner; Andreas König 007; Alan Cowen; Erik Cambria; et al. (CoRR, 2023)

Improving question answering performance using knowledge distillation and active learning. - Yasaman Boreshban; Seyed Morteza Mirbostani; Gholamreza Ghassem-Sani; Seyed Abolghasem Mirroshandel; Shahin Amiriparian (Eng. Appl. Artif. Intell., 2023)

Computational charisma - A brick by brick blueprint for building charismatic artificial intelligence. - Björn W. Schuller; Shahin Amiriparian; Anton Batliner; Alexander Gebhard 001; Maurice Gerczuk; Vincent Karas; Alexander Kathan; Lennart Seizer; Johanna Löchner (Frontiers Comput. Sci., 2023)

Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion. - Shahin Amiriparian; Björn W. Schuller; Nabiha Asghar; Heiga Zen; Felix Burkhardt (IEEE Trans. Affect. Comput., 2023)

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)

ComParE 2023 HealthCall Corpus (HC-C). - Shahin Amiriparian; Anton Batliner; Claude Montacié; Björn W. Schuller (Zenodo, 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)

Classification of stuttering - The ComParE challenge and beyond. - Sebastian P. Bayerl; Maurice Gerczuk; Anton Batliner; Christian Bergler; Shahin Amiriparian; Björn W. Schuller; Elmar Nöth; Korbinian Riedhammer (Comput. Speech Lang., 2023)

Zero-shot personalization of speech foundation models for depressed mood monitoring. - Maurice Gerczuk; Andreas Triantafyllopoulos; Shahin Amiriparian; Alexander Kathan; Jonathan Bauer; Matthias Berking 002; Björn W. Schuller (Patterns, 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)

Personalised Speech-Based PTSD Prediction Using Weighted-Instance Learning. - Alexander Kathan; Shahin Amiriparian; Andreas Triantafyllopoulos; Alexander Gebhard 001; Sabrina Milkus; Jonas Hohmann; Pauline Muderlak; Jürgen Schottdorf; Richard Musil; Björn W. Schuller (EMBC, 2024)

ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets. - Shahin Amiriparian; Filip Packan; Maurice Gerczuk; Björn W. Schuller (INTERSPEECH, 2024)

This Paper Had the Smartest Reviewers - Flattery Detection Utilising an Audio-Textual Transformer-Based Approach. - Lukas Christ; Shahin Amiriparian; Friederike Hawighorst; Ann-Kathrin Schill; Angelo Boutalikakis; Lorenz Graf-Vlachy; Andreas König 007; Björn W. Schuller (INTERSPEECH, 2024)

Exploring Gender-Specific Speech Patterns in Automatic Suicide Risk Assessment. - Maurice Gerczuk; Shahin Amiriparian; Justina Lutz; Wolfgang Strube; Irina Papazova; Alkomiet Hasan; Björn W. Schuller (INTERSPEECH, 2024)

Real-world PTSD Recognition: A Cross-corpus and Cross-linguistic Evaluation. - Alexander Kathan; Martin Bürger; Andreas Triantafyllopoulos; Sabrina Milkus; Jonas Hohmann; Pauline Muderlak; Jürgen Schottdorf; Richard Musil; Björn W. Schuller; Shahin Amiriparian (INTERSPEECH, 2024)

Sustained Vowels for Pre- vs Post-Treatment COPD Classification. - Andreas Triantafyllopoulos; Anton Batliner; Wolfgang Mayr; Markus Fendler; Florian B. Pokorny; Maurice Gerczuk; Shahin Amiriparian; Thomas M. Berghaus; Björn W. Schuller (INTERSPEECH, 2024)

The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition. - Shahin Amiriparian; Lukas Christ; Alexander Kathan; Maurice Gerczuk; Niklas Müller; Steffen Klug; Lukas Stappen; Andreas König 007; Erik Cambria; Björn W. Schuller; Simone Eulitz (MuSe@ACM Multimedia, 2024)

MuSe '24: The 5th Multimodal Sentiment Analysis Challenge and Workshop: Social Perception & Humor. - Lukas Christ; Shahin Amiriparian; Andreas König 007; Simone Eulitz; Erik Cambria; Björn W. Schuller (MuSe@ACM Multimedia, 2024)

Enhancing Suicide Risk Assessment: A Speech-Based Automated Approach in Emergency Medicine. - Shahin Amiriparian; Maurice Gerczuk; Justina Lutz; Wolfgang Strube; Irina Papazova; Alkomiet Hasan; Alexander Kathan; Björn W. Schuller (CoRR, 2024)

Affective Computing Has Changed: The Foundation Model Disruption. - Björn W. Schuller; Adria Mallol-Ragolta; Alejandro Peña Almansa; Iosif Tsangko; Mostafa M. Amin; Anastasia Semertzidou; Lukas Christ; Shahin Amiriparian (CoRR, 2024)

COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition. - Mani Kumar Tellamekala; Shahin Amiriparian; Björn W. Schuller; Elisabeth André; Timo Giesbrecht; Michel F. Valstar (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Multimodal Prediction of Spontaneous Humor: A Novel Dataset and First Results. - Lukas Christ; Shahin Amiriparian; Alexander Kathan; Niklas Müller; Andreas König 007; Björn W. Schuller (IEEE Trans. Affect. Comput., 2025)

Non-Verbal Vocalisations and their Challenges: Emotion, Privacy, Sparseness, and Real Life. - Anton Batliner; Shahin Amiriparian; Björn W. Schuller (CoRR, 2025)