Manuel Milling
Manuel Milling
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Towards automatic airborne pollen monitoring: From commercial devices to operational by mitigating class-imbalance in a deep learning approach
J Schaefer, M Milling, BW Schuller, B Bauer, JO Brunner, ...
Science of the Total Environment 796, 148932, 2021
Emotion recognition in public speaking scenarios utilising an lstm-rnn approach with attention
A Baird, S Amiriparian, M Milling, BW Schuller
2021 IEEE Spoken Language Technology Workshop (SLT), 397-402, 2021
Emotion and themes recognition in music utilising convolutional and recurrent neural networks
S Amiriparian, M Gerczuk, E Coutinho, A Baird, S Ottl, M Milling, ...
CEUR Workshop Proceedings 2670, 2019
Synchronization in interpersonal speech
S Amiriparian, J Han, M Schmitt, A Baird, A Mallol-Ragolta, M Milling, ...
Frontiers in Robotics and AI 6, 116, 2019
On the impact of word error rate on acoustic-linguistic speech emotion recognition: An update for the deep learning era
S Amiriparian, A Sokolov, I Aslan, L Christ, M Gerczuk, T Hübner, ...
arXiv preprint arXiv:2104.10121, 2021
Is speech the new blood? Recent progress in AI-based disease detection from audio in a nutshell
M Milling, FB Pokorny, KD Bartl-Pokorny, BW Schuller
Personalised depression forecasting using mobile sensor data and ecological momentary assessment
A Kathan, M Harrer, L Küster, A Triantafyllopoulos, X He, M Milling, ...
Evaluating the impact of voice activity detection on speech emotion recognition for autistic children
M Milling, A Baird, KD Bartl-Pokorny, S Liu, AM Alcorn, J Shen, ...
Frontiers in Computer Science 4, 1, 2022
Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations
A Triantafyllopoulos, M Milling, K Drossos, BW Schuller
arXiv preprint arXiv:2110.01506, 2021
Depression diagnosis and forecast based on mobile phone sensor data
X He, A Triantafyllopoulos, A Kathan, M Milling, T Yan, ST Rajamani, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
Supervised contrastive learning for game-play frustration detection from speech
M Song, E Parada-Cabaleiro, S Liu, M Milling, A Baird, Z Yang, ...
Universal Access in Human-Computer Interaction. Design Methods and User …, 2021
A Prototypical Network Approach for Evaluating Generated Emotional Speech}}
A Baird, S Mertes, M Milling, L Stappen, T Wiest, E André, BW Schuller
Proc. Interspeech 2021, 3161-3165, 2021
Journaling data for daily PHQ-2 depression prediction and forecasting
A Kathan, A Triantafyllopoulos, X He, M Milling, T Yan, ST Rajamani, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
Airborne pollen grain detection from partially labelled data utilising semi-supervised learning
B Jin, M Milling, MP Plaza, JO Brunner, C Traidl-Hoffmann, BW Schuller, ...
Science of The Total Environment, 164295, 2023
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare
A Triantafyllopoulos, A Kathan, A Baird, L Christ, A Gebhard, M Gerczuk, ...
arXiv preprint arXiv:2301.10477, 2023
Automatic Emotion Modelling in Written Stories
L Christ, S Amiriparian, M Milling, I Aslan, BW Schuller
arXiv preprint arXiv:2212.11382, 2022
Online Personalisation of Deep Mobile Activity Recognisers
M Milling, I Aslan, M Berghofer, A Mallol-Ragolta, U Kunwar, BW Schuller
Proceedings of the 7th International Workshop on Sensor-based Activity …, 2022
Investigating Automatic Speech Emotion Recognition for Children with Autism Spectrum Disorder in interactive intervention sessions with the social robot Kaspar
M Milling, KD Bartl-Pokorny, BW Schuller
medRxiv, 2022.02. 24.22271443, 2022
Stimme, das neue Blut!? Künstliche Intelligenz auf dem Weg Erkrankungen zu ‚hören ‘
M Milling, FB Pokorny, KD Bartl-Pokorny, BW Schuller
Digitalisierung und Gesundheit, 113-136, 2022
Predicting Sex and Stroke Success--Computer-aided Player Grunt Analysis in Tennis Matches
L Stappen, M Milling, V Munst, K Hoffmann, BW Schuller
arXiv preprint arXiv:2202.09102, 2022
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