Manuel Milling

According to our database, Manuel Milling authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment.

Jiangjian Xie, Yuwei Shi, Dongming Ni, Manuel Milling, Shuo Liu, Junguo Zhang, Kun Qian, Björn W. Schuller

IEEE Internet Things J., May, 2024

2023

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare.

Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller

Frontiers Digit. Health, May, 2023

NeuroCellCentreDB.

Manuel Milling, Michelle Lienhart, Yuliia Oksymets, Alexander Gebhard, Manuel Brugger, Christoph Westerhausen, Björn W. Schuller

Dataset, February, 2023

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

CoRR, 2023

NeuroCellCentreDB: Exploring a Novel Dataset for Neuron-like Cell Centre Detection with Deep Neural Networks.

Manuel Milling, Michelle Lienhart, Yuliia Oksymets, Alexander Gebhard, Manuel Brugger, Christoph Westerhausen, Björn W. Schuller

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

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, Björn W. Schuller

Frontiers Digit. Health, 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, Alyssa M. Alcorn, Jie Shen, Teresa Tavassoli, Eloise Ainger, Elizabeth Pellicano, Maja Pantic, Nicholas Cummins, Björn W. Schuller

Frontiers Comput. Sci., 2022

Automatic Emotion Modelling in Written Stories.

Lukas Christ, Shahin Amiriparian, Manuel Milling, Ilhan Aslan, Björn W. Schuller

CoRR, 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

Online Personalisation of Deep Mobile Activity Recognisers.

Manuel Milling, Ilhan Aslan, Moritz Berghofer, Adria Mallol-Ragolta, Utkarsh Kunwar, Björn Wolfgang Schuller

Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

Emotion Recognition in Public Speaking Scenarios Utilising An LSTM-RNN Approach with Attention.

Alice Baird, Shahin Amiriparian, Manuel Milling, Björn W. Schuller

Proceedings of the IEEE Spoken Language Technology Workshop, 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

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Supervised Contrastive Learning for Game-Play Frustration Detection from Speech.

Meishu Song, Emilia Parada-Cabaleiro, Shuo Liu, Manuel Milling, Alice Baird, Zijiang Yang, Björn W. Schuller

Proceedings of the Universal Access in Human-Computer Interaction. Design Methods and User Experience, 2021

Fairness and Underspecification in Acoustic Scene Classification: The Case for Disaggregated Evaluations.

Andreas Triantafyllopoulos, Manuel Milling, Konstantinos Drossos, Björn W. Schuller

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2019

Synchronization in Interpersonal Speech.

Shahin Amiriparian, Jing Han, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Manuel Milling, Maurice Gerczuk, Björn W. Schuller

Frontiers Robotics AI, 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

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019