53 citations · 130 across the 6 of their papers we have counts for
6 papers
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel +1
Recent success in deep reinforcement learning for continuous control has been dominated by model-free approaches which, unlike model-based approaches, do not suffer from representa…
Improving interactive reinforcement learning: What makes a good teacher?
Francisco Cruz, Sven Magg, Yukie Nagai +1
Interactive reinforcement learning has become an important apprenticeship approach to speed up convergence in classic reinforcement learning problems. In this regard, a variant of…
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos
Egor Lakomkin, Sven Magg, Cornelius Weber +1
In this paper, we describe KT-Speech-Crawler: an approach for automatic dataset construction for speech recognition by crawling YouTube videos. We outline several filtering and pos…
Incorporating End-to-End Speech Recognition Models for Sentiment Analysis
Egor Lakomkin, Mohammad Ali Zamani, Cornelius Weber +2
Previous work on emotion recognition demonstrated a synergistic effect of combining several modalities such as auditory, visual, and transcribed text to estimate the affective stat…
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization
Jorge, Davila-Chacon, Jindong +3
Inspired by the behavior of humans talking in noisy environments, we propose an embodied embedded cognition approach to improve automatic speech recognition (ASR) systems for robot…
Generating Multiple Objects at Spatially Distinct Locations
Tobias Hinz, Stefan Heinrich, Stefan Wermter
Recent improvements to Generative Adversarial Networks (GANs) have made it possible to generate realistic images in high resolution based on natural language descriptions such as i…