Automatic Selection of the Most Characterizing Features for Detecting COPD in Speech. - Loes van Bemmel; Wieke Harmsen; Catia Cucchiarini; Helmer Strik (SPECOM, 2021)

Beyond Neural-on-Neural Approaches to Speaker Gender Protection. - Loes van Bemmel; Zhuoran Liu 001; Nik Vaessen; Martha A. Larson (ICASSP, 2023)

Automatic assessments of dysarthric speech: the usability of acoustic-phonetic features. - Loes van Bemmel; Chiara Pesenti; Xue Wei; Helmer Strik (INTERSPEECH, 2023)

Optimising MFCC parameters for the automatic detection of respiratory diseases. - Yuyang Yan; Sami O. Simons; Loes van Bemmel; Lauren Reinders; Frits M. E. Franssen; Visara Urovi (CoRR, 2024)

Developing a multi-feature fusion model for exacerbation classification in asthma and COPD. - Yuyang Yan; Loes van Bemmel; Frits M. E. Franssen; Sami O. Simons; Visara Urovi (Comput. Methods Programs Biomed., 2025)