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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Springe zu: 2021 | 2020 | 2019
Anzahl der Publikationen: 5

2021

Arias-Vergara, T.; Klumpp, P.; Vasquez-Correa, J. C.; Nöth, E.; Orozco-Arroyave, J. R. und Schuster, M. (2021): Multi-channel spectrograms for speech processing applications using deep learning methods. In: Pattern Analysis and Applications, Bd. 24, Nr. 2: S. 423-431 [PDF, 1MB]

Perez-Toro, P. A.; Vasquez-Correa, J. C.; Arias-Vergara, T.; Klumpp, P.; Sierra-Castrillon, M.; Roldan-Lopez, M. E.; Aguillon, D.; Hincapie-Henao, L.; Tobon-Quintero, C. A.; Bocklet, T.; Schuster, M.; Orozco-Arroyave, J. R. und Noth, E. (2021): Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer’s Disease. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 06-11 June 2021. In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New York: IEEE. S. 8338-8342

2020

Arias-Vergara, T.; Arguello-Velez, P.; Vasquez-Correa, J. C.; Noeth, E.; Schuster, M.; Gonzalez-Rativa, M. C. und Orozco-Arroyave, J. R. (2020): Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units. In: Digital Signal Processing, Bd. 104, 102779

Vasquez-Correa, J. C.; Arias-Vergara, T.; Schuster, M.; Orozco-Arroyave, J. R. und Noeth, E. (2020): Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate. In: Speech Communication, Bd. 122: S. 56-67

2019

Camilo Vasquez-Correa, Juan; Arias-Vergara, Tomas; Orozco-Arroyave, J. R.; Eskofier, Björn; Klucken, Jochen und Noeth, Elmar (2019): Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach. In: IEEE Journal of Biomedical and Health Informatics, Bd. 23, Nr. 4: S. 1618-1630

Diese Liste wurde am Sat Dec 21 21:05:44 2024 CET erstellt.