Johannes Twiefel — accepted AI-conference papers

2023

Partially Adaptive Multichannel Joint Reduction of Ego-Noise and Environmental Noise

Huajian Fang, Niklas Wittmer, Johannes Twiefel, Stefan Wermter, Timo Gerkmann

ICASSP 2023accepted

Human-robot interaction relies on a noise-robust audio processing module capable of estimating target speech from audio recordings impacted by environmental noise, as well as self-induced noise, so-called ego-noise. While external ambient noise sources vary from environment to environment, ego-noise…

Cited by 0 Source ↗Scholar ↗

2016

Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario

Francisco Cruz, German I. Parisi, Johannes Twiefel, Stefan Wermter

IROS 2016poster

Robots in domestic environments are receiving more attention, especially in scenarios where they should interact with parent-like trainers for dynamically acquiring and refining knowledge. A prominent paradigm for dynamically learning new tasks has been reinforcement learning. However, due to excess…

Cited by 45 Source ↗Scholar ↗