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Philipp Klumpp
Philipp Klumpp
Researcher, FAU Erlangen-Nuremberg
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Jahr
Multi-channel spectrograms for speech processing applications using deep learning methods
T Arias-Vergara, P Klumpp, JC Vasquez-Correa, E Nöth, ...
Pattern Analysis and Applications 24, 423-431, 2021
362021
Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech.
JC Vásquez-Correa, P Klumpp, JR Orozco-Arroyave, E Nöth
INTERSPEECH, 549-553, 2019
342019
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
302020
Wearables-based multi-task gait and activity segmentation using recurrent neural networks
CF Martindale, V Christlein, P Klumpp, BM Eskofier
Neurocomputing 432, 250-261, 2021
272021
Apkinson-A Mobile Monitoring Solution for Parkinson's Disease.
P Klumpp, T Janu, T Arias-Vergara, JC Vásquez-Correa, ...
INTERSPEECH, 1839-1843, 2017
202017
Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge.
PA Pérez-Toro, SP Bayerl, T Arias-Vergara, JC Vásquez-Correa, ...
Interspeech, 3785-3789, 2021
192021
ANN-based Alzheimer's disease classification from bag of words
P Klumpp, J Fritsch, E Nöth
Speech Communication; 13th ITG-Symposium, 1-4, 2018
192018
Unobtrusive monitoring of speech impairments of Parkinson's disease patients through mobile devices
T Arias-Vergara, JC Vasquez-Correa, JR Orozco-Arroyave, P Klumpp, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
172018
Surgical Mask Detection with Deep Recurrent Phonetic Models.
P Klumpp, T Arias-Vergara, JC Vásquez-Correa, PA Pérez-Toro, F Hönig, ...
INTERSPEECH, 2057-2061, 2020
82020
Acoustic and linguistic analyses to assess early-onset and genetic Alzheimer’s disease
PA Pérez-Toro, JC Vásquez-Correa, T Arias-Vergara, P Klumpp, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
72021
The phonetic footprint of covid-19?
P Klumpp, T Bocklet, T Arias-Vergara, JC Vásquez-Correa, ...
Interspeech, 441-445, 2021
42021
The phonetic footprint of parkinson’s disease
P Klumpp, T Arias-Vergara, JC Vásquez-Correa, PA Pérez-Toro, ...
Computer Speech & Language 72, 101321, 2022
32022
Common phone: A multilingual dataset for robust acoustic modelling
P Klumpp, T Arias-Vergara, PA Pérez-Toro, E Nöth, JR Orozco-Arroyave
arXiv preprint arXiv:2201.05912, 2022
32022
End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data
JC Vasquez-Correa, T Arias-Vergara, P Klumpp, PA Pérez-Toro, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
32021
Emotional state modeling for the assessment of depression in Parkinson’s disease
PA Pérez-Toro, JC Vasquez-Correa, T Arias-Vergara, P Klumpp, ...
Text, Speech, and Dialogue: 24th International Conference, TSD 2021, Olomouc …, 2021
32021
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
32019
Parkinson’s disease progression assessment from speech using a mobile device-based application
T Arias-Vergara, P Klumpp, JC Vásquez-Correa, JR Orozco-Arroyave, ...
Text, Speech, and Dialogue: 20th International Conference, TSD 2017, Prague …, 2017
22017
Wav2vec behind the Scenes: How end2end Models learn Phonetics
T tom Dieck, PA Pérez-Toro, T Arias-Vergara, E Nöth, P Klumpp
Proc. Interspeech 2022, 5130-5134, 2022
12022
Alzheimer’s detection from English to Spanish using acoustic and linguistic embeddings
PA Pérez-Toro, P Klumpp, A Hernandez, T Arias-Vergara, P Lillo, ...
inProc. Annu. Conf. Int. Speech Commun. Assoc, 2483-2487, 2022
12022
Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition
P Klumpp, P Chitkara, L Sarı, P Serai, J Wu, IE Veliche, R Huang, Q He
arXiv preprint arXiv:2303.00802, 2023
2023
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