840 research outputs found
Deep generative models for multi-modal perception under the influence of ambiguity
No full textKorthals T. Deep generative models for multi-modal perception under the influence of ambiguity. Bielefeld: Universität Bielefeld; 2021
The Spoken Wikipedia Corpora
No full textThe Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material.
Timo Baumann and Arne Köhn and Felix Hennig. 2018. The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening, in Language Resources and Evaluation, Special Issue representing significant contributions of LREC 2016.
Arne Köhn, Florian Stegen, Timo Baumann. 2016. Mining the Spoken Wikipedia for Speech Data and Beyond, in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016).
CLARIN Metadata summary for The Spoken Wikipedia Corpora (CMDI-based)
Title: The Spoken Wikipedia Corpora
Description: The Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material.
Publication date: 2017
Data owner: Timo Baumann - Universität Hamburg
Contributors: Timo Baumann (author), Arne Köhn (author), Florian Stegen (author)
Languages: English (eng), German (deu), Dutch (nld)
Size: 5397 article, 1005 hour
Segmentation units: other
Genre: encyclopedia
Modality: spoken
References: Timo Baumann; Arne Köhn; Felix Hennig (2018) The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening References: Arne Köhn; Florian Stegen; Timo Baumann (2016) Mining the Spoken Wikipedia for Speech Data and Beyon
M²VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood
Full text linkKorthals T. M²VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood. arXiv: 1903.07303v1. 2019.This work gives an in-depth derivation of the trainable evidence lower bound obtained from the marginal joint log-Likelihood with the goal of training a Multi-Modal Variational Autoencoder (MVAE).Appendix for the IEEE FUSION 2019 submission on multi-modal variational Autoencoders for sensor fusio
Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE
No full textThis dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader).
Furthermore, it contains the version of preCICE used throughout this thesis.
The thesis revolves around GPU acceleration of RBF data mapping in preCICE. See the README for more information how to build and run the testcase
Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung
No full textKorthals T, Skiba A, Krause T. Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung. Presented at the 74. Internationale Land.Technik, Köln
Elektronische Umfelderkennung bei Erntemaschinen. Verbundprojekt itsOWL-EUE innerhalb des Spitzenclusters it's OWL : Abschlussbericht des itsOWL-EUE Konsortiums
No full textKorthals T, Krause T, Jungeblut T. Elektronische Umfelderkennung bei Erntemaschinen. Verbundprojekt itsOWL-EUE innerhalb des Spitzenclusters it's OWL : Abschlussbericht des itsOWL-EUE Konsortiums.; 2018.Abschlussbericht: itsowl-EU
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot
No full textSchilling M, Konen K, Ohl FW, Korthals T. Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE; 2020: 5335-5342
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
No full textKorthals T, Schilling M, Leitner J. A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. 2019.This contribution comprises the interplay between a multi-modal variational autoencoder and an environment to a perceived environment, on which an agent can act. Furthermore, we conclude our work with a comparison to curiosity-driven learning
Semantical Occupancy Grid Mapping Framework
No full textKorthals T, Exner J, Schöpping T, Hesse M. Semantical Occupancy Grid Mapping Framework. Presented at the European Conference on Mobile Robotics 2017 (EMCR), Paris, FR
Timo de Rijk: 'We plant the seed'; interview
No full textArt historian Timo de Rijk was appointed Professor of Design, Culture and Society in Delft and Leiden last September. He calls this combination ‘a real breakthrough’. ‘Leiden University studies the workings of culture, while TU Delft aims at creating new things. These are fundamentally different approaches. I am the bridge between the two.’Industrial Design Engineerin
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