The Impact of Speech Anonymization on Pathology and Its Limits

arXiv:2404.08064v1 Announce Type: cross
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 …

anonymization anonymization techniques application arxiv biometric conceal cs.ai cs.cr cs.lg eess.as healthcare impact information integration invasive linguistic non personally identifiable information privacy privacy concerns response speaker speech techniques