LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data

no code implementations • 15 Dec 2023 • Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Martin, Arne Peine, Anke Schmeink

This paper proposes a novel, resource-efficient approach to Visual Speech Recognition (VSR) leveraging speech representations produced by any trained Automatic Speech Recognition (ASR) model.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

A Framework for Knowledge Integrated Evolutionary Algorithms

no code implementations • 31 Mar 2021 • Ahmed Hallawa, Anil Yaman, Giovanni Iacca, Gerd Ascheid

Notably, the KIEA framework is EA-agnostic (i. e., it works with any evolutionary algorithm), problem-independent (i. e., it is not dedicated to a specific type of problems), expandable (i. e., its knowledge base can grow over time).

Evolutionary Algorithms

Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach

no code implementations • 20 Nov 2020 • Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann, Harshit Srivastava, Ahmed Hallawa, Rainer Leupers

The first approach is based on a simple feedforward fully connected neural network.

EVO-RL: Evolutionary-Driven Reinforcement Learning

no code implementations • 9 Jul 2020 • Ahmed Hallawa, Thorsten Born, Anke Schmeink, Guido Dartmann, Arne Peine, Lukas Martin, Giovanni Iacca, A. E. Eiben, Gerd Ascheid

Furthermore, we propose that this distinction is decided by the evolutionary process, thus allowing evo-RL to be adaptive to different environments.

OpenAI Gym reinforcement-learning +1