no code implementations • 11 Apr 2024 • Soroosh Tayebi Arasteh, Tomas Arias-Vergara, Paula Andrea Perez-Toro, Tobias Weise, Kai Packhaeuser, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang
This study investigates anonymization's impact on pathological speech across over 2, 700 speakers from multiple German institutions, focusing on privacy, pathological utility, and demographic fairness.
1 code implementation • 13 Apr 2022 • Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang
Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data.
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.