Martin Strauss
Martin Strauss
Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), International Audio Laboratories Erlangen
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DREGON: Dataset and methods for UAV-embedded sound source localization
M Strauss, P Mordel, V Miguet, A Deleforge
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Audio-based search and rescue with a drone: highlights from the IEEE signal processing cup 2019 student competition [SP competitions]
A Deleforge, D Di Carlo, M Strauss, R Serizel, L Marcenaro
IEEE Signal Processing Magazine 36 (5), 138-144, 2019
Apkinson: the smartphone application for telemonitoring Parkinson’s patients through speech, gait and hands movement
JR Orozco-Arroyave, JC Vásquez-Correa, P Klumpp, PA Pérez-Toro, ...
Neurodegenerative Disease Management 10 (3), 137-157, 2020
Natural language analysis to detect Parkinson’s disease
PA Pérez-Toro, JC Vásquez-Correa, M Strauss, JR Orozco-Arroyave, ...
International Conference on Text, Speech, and Dialogue, 82-90, 2019
Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia
CF Martindale, M Strauss, H Gaßner, J List, M Müller, J Klucken, Z Kohl, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
A Flow-Based Neural Network for Time Domain Speech Enhancement
M Strauss, B Edler
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
A Hands-on Comparison of DNNs for Dialog SeparationUsing Transfer Learning from Music Source Separation
M Strauss, J Paulus, M Torcoli, B Edler
arXiv preprint arXiv:2106.09093, 2021
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease.
JC Vásquez-Correa, T Arias-Vergara, P Klumpp, M Strauss, A Küderle, ...
INTERSPEECH, 964-965, 2019
Putting “yips” and jerking in golf novices
C Marquardt, M Strauss, J Hermsdörfer
International Journal of Golf Science 5, S1-77, 2016
Improved Normalizing Flow-Based Speech Enhancement using an All-pole Gammatone Filterbank for Conditional Input Representation
M Strauss, M Torcoli, B Edler
arXiv preprint arXiv:2210.11654, 2022
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