Cornelius Weber
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Explore the profile of Cornelius Weber including associated specialties, affiliations and a list of published articles.
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16
Citations
66
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Recent Articles
1.
Qu L, Weber C, Wang W, Jin J, Gao Y, Li T, et al.
IEEE Trans Neural Netw Learn Syst
. 2025 Mar;
PP.
PMID: 40031860
Prosody plays a fundamental role in human speech and communication, facilitating intelligibility and conveying emotional and cognitive states. Extracting accurate prosodic information from speech is vital for building assistive technology,...
2.
Qu L, Weber C, Wermter S
Neural Netw
. 2023 Feb;
161:494-504.
PMID: 36805264
Due to the dynamic nature of human language, automatic speech recognition (ASR) systems need to continuously acquire new vocabulary. Out-Of-Vocabulary (OOV) words, such as trending words and new named entities,...
3.
Lee J, Yao Y, Ozdemir O, Li M, Weber C, Liu Z, et al.
Front Neurorobot
. 2022 Aug;
16:844753.
PMID: 35966371
A cognitive agent performing in the real world needs to learn relevant concepts about its environment (e.g., objects, color, and shapes) and react accordingly. In addition to learning the concepts,...
4.
Qu L, Weber C, Wermter S
IEEE Trans Neural Netw Learn Syst
. 2022 Jul;
35(2):2772-2782.
PMID: 35867361
The aim of this work is to investigate the impact of crossmodal self-supervised pre-training for speech reconstruction (video-to-audio) by leveraging the natural co-occurrence of audio and visual streams in videos....
5.
Heinrich S, Yao Y, Hinz T, Liu Z, Hummel T, Kerzel M, et al.
Front Neurorobot
. 2020 Nov;
14:52.
PMID: 33154720
Human infants are able to acquire natural language seemingly easily at an early age. Their language learning seems to occur simultaneously with learning other cognitive functions as well as with...
6.
Fu D, Weber C, Yang G, Kerzel M, Nan W, Barros P, et al.
Front Integr Neurosci
. 2020 Mar;
14:10.
PMID: 32174816
Selective attention plays an essential role in information acquisition and utilization from the environment. In the past 50 years, research on selective attention has been a central topic in cognitive...
7.
Mao J, Yao Y, Heinrich S, Hinz T, Weber C, Wermter S, et al.
Front Neurorobot
. 2019 Dec;
13:93.
PMID: 31798437
The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation. A promising approach is...
8.
Parisi G, Tani J, Weber C, Wermter S
Front Neurorobot
. 2018 Dec;
12:78.
PMID: 30546302
Artificial autonomous agents and robots interacting in complex environments are required to continually acquire and fine-tune knowledge over sustained periods of time. The ability to learn from continuous streams of...
9.
Parisi G, Tani J, Weber C, Wermter S
Neural Netw
. 2017 Oct;
96:137-149.
PMID: 29017140
Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural models for action recognition from videos do not account for...
10.
Barros P, Jirak D, Weber C, Wermter S
Neural Netw
. 2015 Nov;
72:140-51.
PMID: 26548943
Emotional state recognition has become an important topic for human-robot interaction in the past years. By determining emotion expressions, robots can identify important variables of human behavior and use these...