no code implementations • 3 Jul 2024 • Tobias Weise, Philipp Klumpp, Kubilay Can Demir, Paula Andrea Pérez-Toro, Maria Schuster, Elmar Noeth, Bjoern Heismann, Andreas Maier, Seung Hee Yang
This paper introduces a novel combination of two tasks, previously treated separately: acoustic-to-articulatory speech inversion (AAI) and phoneme-to-articulatory (PTA) motion estimation.
no code implementations • 1 Mar 2023 • Philipp Klumpp, Pooja Chitkara, Leda Sari, Prashant Serai, JiLong Wu, Irina-Elena Veliche, Rongqing Huang, Qing He
In this work, we improve an accent-conversion model (ACM) which transforms native US-English speech into accented pronunciation.
1 code implementation • 8 Apr 2022 • Tobias Weise, Philipp Klumpp, Kubilay Can Demir, Andreas Maier, Elmar Noeth, Bjoern Heismann, Maria Schuster, Seung Hee Yang
Our results are among the first to show that disentangled speech representations can be used for automatic pathological speech intelligibility assessment, resulting in a reference speaker pair invariant method, applicable in scenarios with only few utterances available.
1 code implementation • LREC 2022 • Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave
A Wav2Vec 2. 0 acoustic model was trained with the Common Phone to perform phonetic symbol recognition and validate the quality of the generated phonetic annotation.
no code implementations • 21 Dec 2021 • Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Anton Batliner, Elmar Nöth
As one of the most prevalent neurodegenerative disorders, Parkinson's disease (PD) has a significant impact on the fine motor skills of patients.