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See me Speaking? Differentiating on Whether Words are Spoken On Screen or Off to Optimize Machine Dubbing., , , , , and . ICMI Companion, page 130-134. ACM, (2020)A Deep Dive Into Neural Synchrony Evaluation for Audio-visual Translation., , , and . ICMI, page 642-647. ACM, (2022)Prosodic addressee-detection: ensuring privacy in always-on spoken dialog systems., and . MuC, page 195-198. ACM, (2020)Analysis of Rhythmic Phrasing: Feature Engineering vs. Representation Learning for Classifying Readout Poetry., , and . LaTeCH@COLING, page 44-49. Association for Computational Linguistics, (2018)Analysing the Focus of a Hierarchical Attention Network: the Importance of Enjambments When Classifying Post-modern Poetry., , and . INTERSPEECH, page 2162-2166. ISCA, (2018)Business Communities. Professionelles Beziehungsmanagement von Kunden, Mitarbeitern und B2B-Partnern im Internet, , , , , and . Galileo Press, Bonn, 1 edition, (2002)Analysis and Classification of Prosodic Styles in Post-modern Spoken Poetry., , and . INF-DH, Gesellschaft für Informatik e.V., (2018)Deep Learning als Herausforderung für die digitale Literaturwissenschaft., , , , , , and . DHd, (2019)Integration of Dubbing Constraints into Machine Translation., and . WMT (1), page 94-101. Association for Computational Linguistics, (2019)Machine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings., , , , , , , and . EMBC, page 3530-3533. IEEE, (2022)