33 citations · 94 across the 13 of their papers we have counts for
5 papers · 1 filter
Perceptual implications of automatic anonymization in pathological speech
Soroosh Tayebi Arasteh, Saba Afza, Tri-Thien Nguyen +11
Automatic anonymization is increasingly used to enable ethical sharing of clinical speech, yet its perceptual and clinical consequences remain undercharacterized. We present a huma…
Towards Intelligent Speech Assistants in Operating Rooms: A Multimodal Model for Surgical Workflow Analysis
Kubilay Can Demir, Belen Lojo Rodriguez, Tobias Weise +2
To develop intelligent speech assistants and integrate them seamlessly with intra-operative decision-support frameworks, accurate and efficient surgical phase recognition is a prer…
The Impact of Speech Anonymization on Pathology and Its Limits
Soroosh Tayebi Arasteh, Tomas Arias-Vergara, Paula Andrea Perez-Toro +6
Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information. In response, sp…
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages
Soroosh Tayebi Arasteh, Cristian David Rios-Urrego, Elmar Noeth +4
Parkinson's disease (PD) is a neurological disorder impacting a person's speech. Among automatic PD assessment methods, deep learning models have gained particular interest. Recent…
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…