Manuel Milling
Manuel Milling
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Zitiert von
Zitiert von
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
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
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
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
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
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
Depression Diagnosis and Forecast based on Mobile Phone Sensor Data
X He, A Triantafyllopoulos, A Kathan, M Milling, T Yan, ST Rajamani, ...
arXiv preprint arXiv:2205.07861, 2022
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting
A Kathan, A Triantafyllopoulos, X He, M Milling, T Yan, ST Rajamani, ...
arXiv preprint arXiv:2205.03391, 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
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
Frontiers in Digital Health 4, 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
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, ...
Supervised contrastive learning for game-play frustration detection from speech
M Song, E Parada-Cabaleiro, S Liu, M Milling, A Baird, Z Yang, ...
International Conference on Human-Computer Interaction, 617-629, 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
Stimme, das neue Blut!? Künstliche Intelligenz auf dem Weg Erkrankungen zu ‚hören ‘
M Milling, FB Pokorny, KD Bartl-Pokorny, BW Schuller
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