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The Impact of Speech Anonymization on Pathology and Its Limits
April 15, 2024, 4:42 a.m. | Soroosh Tayebi Arasteh, Tomas Arias-Vergara, Paula Andrea Perez-Toro, Tobias Weise, Kai Packhaeuser, Maria Schuster, Elmar Noeth, Andreas Maier, Seung
cs.LG updates on arXiv.org arxiv.org
Abstract: Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information. In response, speaker anonymization aims to conceal personally identifiable information while retaining crucial linguistic content. However, the application of anonymization techniques to pathological speech, a critical area where privacy is especially vital, has not been extensively examined. This study investigates anonymization's impact on pathological speech across over 2,700 speakers from multiple German institutions, focusing …
abstract anonymization application arxiv biometric concerns cs.ai cs.cr cs.lg eess.as healthcare however impact information integration pathology personally identifiable information privacy speaker speech type
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