activity
20212024
most citedThe Phonetic Footprint of Parkinson's Disease

13 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2024

Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech

Tobias Weise, Philipp Klumpp, Kubilay Can Demir +6

This paper introduces a novel combination of two tasks, previously treated separately: acoustic-to-articulatory speech inversion (AAI) and phoneme-to-articulatory (PTA) motion esti…

cs.CL2023★ 3 cited

Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition

Philipp Klumpp, Pooja Chitkara, Leda Sarı +5

The awareness for biased ASR datasets or models has increased notably in recent years. Even for English, despite a vast amount of available training data, systems perform worse for…

eess.AS2022★ 1 cited

Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment

Tobias Weise, Philipp Klumpp, Kubilay Can Demir +5

Speech intelligibility assessment plays an important role in the therapy of patients suffering from pathological speech disorders. Automatic and objective measures are desirable to…

eess.AS2022

Common Phone: A Multilingual Dataset for Robust Acoustic Modelling

Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro +2

Current state of the art acoustic models can easily comprise more than 100 million parameters. This growing complexity demands larger training datasets to maintain a decent general…

eess.AS2021★ 13 cited

The Phonetic Footprint of Parkinson's Disease

Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa +4

As one of the most prevalent neurodegenerative disorders, Parkinson's disease (PD) has a significant impact on the fine motor skills of patients. The complex interplay of different…