BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping. - Gasser Elbanna; Neil Scheidwasser-Clow; Mikolaj Kegler; Pierre Beckmann; Karl El Hajal; Milos Cernak (HEAR@NeurIPS, 2021)

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load. - Gasser Elbanna; Alice Biryukov; Neil Scheidwasser-Clow; Lara Orlandic; Pablo Mainar; Mikolaj Kegler; Pierre Beckmann; Milos Cernak (INTERSPEECH, 2022)

Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings. - Karl El Hajal; Zihan Wu 009; Neil Scheidwasser-Clow; Gasser Elbanna; Milos Cernak (ICASSP, 2023)

Predicting Heart Activity from Speech using Data-driven and Knowledge-based features. - Gasser Elbanna; Zohreh Mostaani; Mathew Magimai-Doss (INTERSPEECH, 2024)

Evaluating Speaker Identity Coding in Self-supervised Models and Humans. - Gasser Elbanna (CoRR, 2024)

Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features. - Satvik Dixit; Daniel M. Low; Gasser Elbanna; Fabio Catania; Satrajit S. Ghosh (CoRR, 2024)

Incorporating Talker Identity Aids With Improving Speech Recognition in Adversarial Environments. - Sagarika Alavilli; Annesya Banerjee; Gasser Elbanna; Annika Magaro (CoRR, 2024)