ANN-based Alzheimer's disease classification from bag of words. - Philipp Klumpp; Julian Fritsch; Elmar Nöth (ITG Symposium on Speech Communication, 2018)

Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models. - Julian Fritsch; Sebastian Wankerl; Elmar Nöth (ICASSP, 2019)

Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS. - Julian Fritsch; S. Pavankumar Dubagunta; Mathew Magimai-Doss (ICASSP, 2020)

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. - Nicholas Cummins; Yilin Pan; Zhao Ren; Julian Fritsch; Venkata Srikanth Nallanthighal; Heidi Christensen; Daniel Blackburn; Björn W. Schuller; Mathew Magimai-Doss; Helmer Strik; Aki Härmä (INTERSPEECH, 2020)

An Objective Evaluation Framework for Pathological Speech Synthesis. - Bence Mark Halpern; Julian Fritsch; Enno Hermann; Rob van Son; Odette Scharenborg; Mathew Magimai-Doss (ITG Conference on Speech Communication, 2021)

On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease. - Juan Camilo Vásquez-Correa; Julian Fritsch; Juan Rafael Orozco-Arroyave; Elmar Nöth; Mathew Magimai-Doss (Interspeech, 2021)

Late Fusion of the Available Lexicon and Raw Waveform-Based Acoustic Modeling for Depression and Dementia Recognition. - Esaú Villatoro-Tello; S. Pavankumar Dubagunta; Julian Fritsch; Gabriela Ramírez-de-la-Rosa; Petr Motlícek; Mathew Magimai-Doss (Interspeech, 2021)

Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features. - Julian Fritsch; Mathew Magimai-Doss (IEEE Signal Process. Lett., 2021)

Recognizing affective states from the expressive behavior of tennis players using convolutional neural networks. - Darko Jekauc; Diana Burkart; Julian Fritsch; Marc Hesenius; Ole Meyer; M. Saquib Sarfraz; Rainer Stiefelhagen (Knowl. Based Syst., 2024)