TY - CHAP A1 - Srinivasagan, Gokul A1 - Georges, Munir ED - Nöth, Elmar ED - Horák, Aleš ED - Sojka, Petr T1 - Retrieval Augmented Spoken Language Generation for Transport Domain T2 - Text, Speech, and Dialogue: 27th International Conference, TSD 2024 Brno, Czech Republic, September 9–13, 2024 Proceedings, Part II UR - https://doi.org/10.1007/978-3-031-70566-3_1 Y1 - 2024 UR - https://doi.org/10.1007/978-3-031-70566-3_1 SN - 978-3-031-70566-3 SN - 978-3-031-70565-6 SP - 3 EP - 12 PB - Springer CY - Cham ER - TY - CHAP A1 - Ranzenberger, Thomas A1 - Freier, Carolin A1 - Reinold, Luca A1 - Riedhammer, Korbinian A1 - Schneider, Fabian A1 - Simic, Christopher A1 - Simon, Claudia A1 - Freisinger, Steffen A1 - Georges, Munir A1 - Bocklet, Tobias ED - Schulz, Sandra ED - Kiesler, Natalie T1 - A Multidisciplinary Approach to AI-based self-motivated Learning and Teaching with Large Language Models T2 - DELFI 2024, Die 22. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. N2 - We present a learning experience platform that uses machine learning methods to support students and lecturers in self-motivated online learning and teaching processes. The platform is being developed as an agile open-source collaborative project supported by multiple universities and partners. The development is guided didactically, reviewed, and scientifically evaluated in several cycles. Transparency, data protection and the copyright compliant use of the system is a central part of the project. The system further employs large language models (LLMs). Due to privacy concerns, we utilize locally hosted LLM instances and explicitly do not rely on available cloud products. Students and lecturers can interact with an LLM-based chatbot in the current prototype. The AI-generated outputs contain cross-references to the current educational video’s context, indicating if sections are based on the lectures context or world knowledge. We present the prototype and results of our qualitative evaluation from the perspective of lecturers and students. UR - https://doi.org/10.18420/delfi2024_11 Y1 - 2024 UR - https://doi.org/10.18420/delfi2024_11 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-51089 SN - 978-3-88579-255-0 SP - 133 EP - 140 PB - Gesellschaft für Informatik CY - Bonn ER - TY - CHAP A1 - Glocker, Kevin A1 - Georges, Munir ED - Abbas, Mourad T1 - Hierarchical Multi-task Learning with Articulatory Attributes for Cross-Lingual Phoneme Recognition T2 - Practical Solutions for Diverse Real-World NLP Applications UR - https://doi.org/10.1007/978-3-031-44260-5_4 Y1 - 2023 UR - https://doi.org/10.1007/978-3-031-44260-5_4 SN - 978-3-031-44259-9 SN - 978-3-031-44260-5 SP - 59 EP - 75 PB - Springer CY - Cham ER - TY - CHAP A1 - Srinivasagan, Gokul A1 - Deisher, Michael A1 - Georges, Munir T1 - Compression of end-to-end non-autoregressive image-to-speech system for lowresourced devices T2 - Speech Communication, 15th ITG Conference, 20.-22.09.2023 in Aachen, Germany UR - https://doi.org/10.30420/456164029 Y1 - 2023 UR - https://doi.org/10.30420/456164029 SN - 978-3-8007-6164-7 SN - 978-3-8007-6165-4 N1 - Auch veröffentlicht auf IEEE: https://ieeexplore.ieee.org/document/10363017 SP - 151 EP - 155 PB - VDE Verlag CY - Berlin ER - TY - CHAP A1 - Ranzenberger, Thomas A1 - Bocklet, Tobias A1 - Freisinger, Steffen A1 - Georges, Munir A1 - Glocker, Kevin A1 - Herygers, Aaricia A1 - Riedhammer, Korbinian A1 - Schneider, Fabian A1 - Simic, Christopher A1 - Zakaria, Khabbab ED - Baumann, Timo T1 - Extending HAnS: Large Language Models for Question Answering, Summarization, and Topic Segmentation in an ML-based Learning Experience Platform T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 UR - https://doi.org/10.35096/othr/pub-7103 KW - hans KW - learning experience platform KW - speech processing KW - natural language processing KW - large language models Y1 - 2024 UR - https://doi.org/10.35096/othr/pub-7103 SN - 978-3-95908-325-6 SP - 219 EP - 224 PB - TUDPress CY - Dresden ER - TY - INPR A1 - Srinivasagan, Gokul A1 - Deisher, Michael A1 - Georges, Munir T1 - Compression of end-to-end non-autoregressive image-to-speech system for low-resourced devices UR - https://doi.org/10.48550/arXiv.2312.00174 Y1 - 2023 UR - https://doi.org/10.48550/arXiv.2312.00174 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Frohnmaier, Mariano A1 - Freisinger, Steffen A1 - Holt, Madeline Faye A1 - Georges, Munir ED - Baumann, Timo T1 - NoiSLU: a Noisy speech corpus for Spoken Language Understanding in the Public Transport Domain T2 - Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024 UR - https://doi.org/10.35096/othr/pub-7084 Y1 - 2024 UR - https://doi.org/10.35096/othr/pub-7084 SN - 978-3-95908-325-6 SP - 86 EP - 93 PB - TUDpress CY - Dresden ER - TY - INPR A1 - Glocker, Kevin A1 - Herygers, Aaricia A1 - Georges, Munir T1 - Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes N2 - This paper proposes Allophant, a multilingual phoneme recognizer. It requires only a phoneme inventory for crosslingual transfer to a target language, allowing for low-resource recognition. The architecture combines a compositional phone embedding approach with individually supervised phonetic attribute classifiers in a multi-task architecture. We also introduce Allophoible, an extension of the PHOIBLE database. When combined with a distance based mapping approach for grapheme-to-phoneme outputs, it allows us to train on PHOIBLE inventories directly. By training and evaluating on 34 languages, we found that the addition of multi-task learning improves the model’s capability of being applied to unseen phonemes and phoneme inventories. On supervised languages we achieve phoneme error rate improvements of 11 percentage points (pp.) compared to a baseline without multi-task learning. Evaluation of zero-shot transfer on 84 languages yielded a decrease in PER of 2.63 pp. over the baseline. UR - https://doi.org/10.48550/arXiv.2306.04306 KW - speech recognition KW - cross-lingual KW - zero-shot KW - phoneme recognition Y1 - 2023 UR - https://doi.org/10.48550/arXiv.2306.04306 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-37309 PB - arXiv CY - Ithaca ER - TY - GEN A1 - Siddig, Ibrahim A1 - Tugeev, Sviatoslav A1 - Georges, Munir T1 - THI Lehrvideo Community Handbook Version 1.0 N2 - This guidebook is offered as part of the THI Lehrvideocommunity Project. It is designed to assist both students and professors in producing high-quality videos for various purposes - from work and project presentation to peer education. It offers a useful starting point if you are facing such task for the first time, as well as potential avenues for improvement for those already more experienced. Y1 - 2025 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-63271 CY - Ingolstadt ER - TY - CHAP A1 - Hartung, Kai A1 - Herygers, Aaricia A1 - Kurlekar, Shubham Vijay A1 - Zakaria, Khabbab A1 - Volkan, Taylan A1 - Gröttrup, Sören A1 - Georges, Munir ED - Ekštein, Kamil ED - Pártl, František ED - Konopík, Miloslav T1 - Measuring Sentiment Bias in Machine Translation T2 - Text, Speech, and Dialogue: 26th International Conference: Proceedings UR - https://doi.org/10.1007/978-3-031-40498-6_8 KW - Machine translation KW - sentiment classification KW - bias Y1 - 2023 UR - https://doi.org/10.1007/978-3-031-40498-6_8 SN - 978-3-031-40498-6 SN - 1611-3349 SP - 82 EP - 93 PB - Springer CY - Cham ER - TY - CHAP A1 - Pagonis, Panagiotis A1 - Hartung, Kai A1 - Wu, Di A1 - Georges, Munir A1 - Gröttrup, Sören T1 - Analysis of Knowledge Tracing performance on synthesised student data Y1 - 2024 UR - https://sme.uni-bamberg.de/ai4ai/ PB - Universität Bamberg CY - Bamberg ER - TY - CHAP A1 - Kumar, Ankit A1 - Georges, Munir T1 - DRI-GAN: A Novel Dual Real Input GAN with Triplet Loss for Cross-Lingual and Noisy SLU T2 - Interspeech 2025 UR - https://doi.org/10.21437/Interspeech.2025-1220 Y1 - 2025 UR - https://doi.org/10.21437/Interspeech.2025-1220 SP - 4118 EP - 4122 PB - ISCA CY - Grenoble ER - TY - CHAP A1 - Siddig, Ibrahim A1 - Tugeev, Sviatoslav A1 - Georges, Munir ED - Grawunder, Sven T1 - Pattern-based parsing of German traffic regulations (StVO) for legal knowledge graph construction T2 - Elektronische Sprachsignalverarbeitung 2025: Tagungsband der 36. Konferenz Halle/Saale, 5.–7. März 2025 Y1 - 2025 UR - https://www.essv.de/paper.php?id=1260 SN - 978-3-95908-803-9 SP - 255 EP - 264 PB - TUDpress CY - Dresden ER - TY - INPR A1 - Pagonis, Panagiotis A1 - Hartung, Kai A1 - Wu, Di A1 - Georges, Munir A1 - Gröttrup, Sören T1 - Analysis of Knowledge Tracing performance on synthesised student data N2 - Knowledge Tracing (KT) aims to predict the future performance of students by tracking the development of their knowledge states. Despite all the recent progress made in this field, the application of KT models in education systems is still restricted from the data perspectives: 1) limited access to real life data due to data protection concerns, 2) lack of diversity in public datasets, 3) noises in benchmark datasets such as duplicate records. To resolve these problems, we simulated student data with three statistical strategies based on public datasets and tested their performance on two KT baselines. While we observe only minor performance improvement with additional synthetic data, our work shows that using only synthetic data for training can lead to similar performance as real data. UR - https://doi.org/10.48550/arXiv.2401.16832 Y1 - 2024 UR - https://doi.org/10.48550/arXiv.2401.16832 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-44771 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Hartung, Kai A1 - Jäger, Gerhard A1 - Gröttrup, Sören A1 - Georges, Munir ED - Vylomova, Ekaterina ED - Ponti, Edoardo ED - Cotterell, Ryan T1 - Typological Word Order Correlations with Logistic Brownian Motion T2 - Proceedings of the 4th Workshop on Computational Typology and Multilingual NLP (SIGTYP 2022) N2 - In this study we address the question to what extent syntactic word-order traits of different languages have evolved under correlation and whether such dependencies can be found universally across all languages or restricted to specific language families.To do so, we use logistic Brownian Motion under a Bayesian framework to model the trait evolution for 768 languages from 34 language families. We test for trait correlations both in single families and universally over all families. Separate models reveal no universal correlation patterns and Bayes Factor analysis of models over all covered families also strongly indicate lineage specific correlation patters instead of universal dependencies. KW - Typology KW - Brownian Motion Y1 - 2022 UR - https://aclanthology.org/2022.sigtyp-1.3 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-25798 SN - 978-1-955917-93-3 SP - 22 EP - 26 PB - Association for Computational Linguistics CY - Stroudsburg ER - TY - CHAP A1 - José Souza, Bruno A1 - de Assis, Lucas C. A1 - Rößle, Dominik A1 - Zanetti Freire, Roberto A1 - Cremers, Daniel A1 - Schön, Torsten A1 - Georges, Munir T1 - AImotion Challenge Results: a Framework for AirSim Autonomous Vehicles and Motion Replication T2 - 2022 2nd International Conference on Computers and Automation (CompAuto 2022): Proceedings UR - https://doi.org/10.1109/CompAuto55930.2022.00015 KW - framework KW - automous vehicle KW - computational intelligence KW - TurtleBot KW - AirSim Y1 - 2023 UR - https://doi.org/10.1109/CompAuto55930.2022.00015 SN - 978-1-6654-8194-6 SP - 42 EP - 47 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Upadhyay, Navneet A1 - Georges, Munir T1 - Transform-based nonlinear speech enhancement for monaural scenarios JF - International Journal of Speech Technology UR - https://doi.org/10.1007/s10772-025-10239-4 Y1 - 2025 UR - https://doi.org/10.1007/s10772-025-10239-4 SN - 1572-8110 VL - 29 IS - 1 PB - Springer Science+Business Media CY - Dordrecht ER -