Brima, YusufStolzenburg, Frieder2023-09-202023-09-202023https://dl.gi.de/handle/20.500.12116/42402Our proposed research aims to contribute to the field of SSL for speech processing by developing representations that effectively capture latent speaker statistics. A comprehensive evaluation in various downstream tasks will provide a thorough assessment of the representations’ suitability and performance. The outcomes of this research will advance our understanding and utilization of SSL in speech representation learning, ultimately enhancing speaker-related applications and their practical implications.enBarlow Twins; Acoustic Analysis; Deep Learning; Disentangled Representations; Representation Learning; Redundancy Reduction; Speech AnalysisText10.18420/ki2023-dc-02