TY - CHAP A1 - Strecha, Guntram A1 - Wolff, Matthias A1 - Duckhorn, Frank A1 - Wittenberg, Sören A1 - Tschöpe, Constanze T1 - The HMM synthesis algorithm of an embedded unified speech recognizer and synthesizer T2 - Proceedings of the Annual Conference of the International Speech Communication Association 2009, Interspeech 2009, 6 - 10 September, 2009, Brighton, UK Y1 - 2009 SP - 1763 EP - 1766 PB - ISCA CY - Brighton ER - TY - GEN A1 - Pusch, T. A1 - Cherif, Chokri A1 - Farooq, Aamir A1 - Wittenberg, Sören A1 - Wolff, Matthias A1 - Hoffmann, Rüdiger A1 - Tschöpe, Constanze T1 - Fehlerfrüherkennung an Textilmaschinen mit Hilfe der Körperschallanalyse T2 - Melliand Textilberichte Y1 - 2009 SN - 0341-0781 VL - 90 IS - 3 SP - 113 EP - 115 ER - TY - CHAP A1 - Wolff, Matthias A1 - Tschöpe, Constanze T1 - Pattern recognition for sensor signals T2 - Proceedings of the IEEE Sensors Conference 2009, Christchurch, New Zealand, 25 - 28 October 2009 Y1 - 2009 SN - 978-1-424-44548-6 SN - 978-1-4244-5335-1 U6 - https://doi.org/10.1109/ICSENS.2009.5398338 SP - 665 EP - 668 PB - IEEE CY - Piscataway, NJ ER - TY - THES A1 - Wolff, Matthias T1 - Akustische Mustererkennung Y1 - 2011 SN - 978-3-942710-14-5 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Li, Huajian A1 - Kraljevski, Ivan A1 - Meyer, Paul A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - YOLO-ICP : deep learning integrated pose estimation for bin-picking of multiple objects T2 - 2024 IEEE SENSORS, Proceedings, Kobe, Japan, 2024 N2 - In this paper, we present a novel deep learning-integrated pipeline called YOLO-ICP that aims to estimate the six degree of freedom (6-DoF) pose of objects using RGB-D sensors and does not require pose labels to train deep learning networks. YOLO-ICP integrates a real-time object detection algorithm with a point cloud registration method to estimate the pose of multiple objects. We evaluated our approach by quantitatively comparing it with baseline models on the OccludedLINEMOD dataset. Experimental results illustrate that our approach outperforms baseline models in challenging scenarios with textureless and occluded objects. In particular, our pipeline shows superior performance when dealing with small and symmetric objects in terms of the ADD(-S) metric. KW - Pose estimation KW - Deep learning KW - CAD KW - Point cloud KW - Bin-picking KW - RGB-D camera Y1 - 2024 SN - 979-8-3503-6351-7 U6 - https://doi.org/10.1109/SENSORS60989.2024.10784539 SP - 1 EP - 4 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway, New Jersey ER - TY - GEN A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Sobe, Daniel A1 - Tschöpe, Constanze A1 - Wolff, Matthias ED - Grawunder, Sven T1 - Speech-to-text in upper sorbian : current state T2 - Elektronische Sprachsignalverarbeitung 2025 : Tagungsband der 36. Konferenz Halle/Saale, 5.–7. März 2025 N2 - This study presents recent advancements in Upper Sorbian Speech-to-Text (STT) technology. We provide an overview of the Sorbian languages, the available speech and language resources, and the development of an STT system based on a traditional approach, which includes acoustic, pronunciation, and language modeling. Due to the scarcity of resources for Sorbian languages, our approach leverages sub-word and word-class modeling techniques. The word-class modeling is based on Finite-State Transducer definitions, which are applicable to both offline text parsing and integration into the decoding graph of the STT system. Word-class parsing is performed on the speech corpus and utilized for language modeling with complete words, sub-word units, or both. Additionally, the same definitions can be applied to Named Entity Recognition during the post-processing of recognized transcriptions. This approach significantly reduces out-of-vocabulary words and enables greater customization of the recognizer for domain-specific applications. The system was implemented for the real-time transcription of church sermon broadcasts in Upper Sorbian. The domain-specific system achieved performance comparable to fine-tuned OpenAI Whisper models developed also by other initiatives while also providing a resource-efficient solution with semantically tagged recognition results. Y1 - 2025 UR - https://www.essv.de/pdf/2025_109_116.pdf SN - 978-3-95908-803-9 SN - 0940-6832 SP - 109 EP - 116 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Sobe, Daniel A1 - Tschöpe, Constanze A1 - Wolff, Matthias ED - Karpov, Alexey ED - Delic, Vlado T1 - Preserving Language Heritage Through Speech Technology: The Case of Upper Sorbian T2 - Speech and Computer, SPECOM 2024, Belgrade, Serbia, 25-28 November 2024 N2 - The modern world is facing a crisis with the rapid disappearance of endangered languages, which poses a serious threat to global cultural diversity. Speech Technologies and Artificial Intelligence present promising opportunities to address this crisis by supporting the documentation, revitalization, and everyday use of these vulnerable languages. However, despite recent and remarkable advancements in speech technology, significant challenges persist, particularly for languages with very limited resources and unique linguistic features. This paper details the development of Upper Sorbian speech technologies, focusing on the creation of a practical Speech-to-Text (STT) system as a versatile tool for language preservation. The study explores the current state of Sorbian languages and underscores collaborative efforts with the Foundation for the Sorbian People. Through a series of pilot and successive projects, each phase has contributed to the steady advancement of speech recognition modules and supporting tools, improving their performance, effectiveness and practical usability. KW - Endangered languages, Speech recognition, Upper Sorbian Y1 - 2024 UR - https://link.springer.com/chapter/10.1007/978-3-031-77961-9_1 SN - 978-3-031-77960-2 SN - 978-3-031-77961-9 U6 - https://doi.org/10.1007/978-3-031-77961-9_1 SP - 3 EP - 22 PB - Springer Nature Switzerland, Cham ER - TY - PAT A1 - Saeltzer, Gerhard A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Vorrichtung und Verfahren zur Bestimmung eines medizinischen Gesundheitsparameters eines Probanden mittels Stimmanalyse N2 - Eine Vorrichtung zur Bestimmung eines Gesundheitsparameters eines Probanden mittels Stimmauswertung umfasst eine Verarbeitungseinrichtung, die ausgebildet ist, um eine digitalisierte Sprechprobe des Probanden basierend auf individuellen Modellparametern auszuwerten, um eine Messinformation zu erhalten, die innerhalb eines Toleranzbereichs auf einem Momentanwert des Gesundheitsparameters des Probanden basiert, wobei die individuellen Modellparameter einen funktionalen Zusammenhang zwischen der Sprechprobe oder von der Sprechprobe abgeleiteten Sprechmerkmalen und einem zugeordneten, momentanen Gesundheitsparameter angeben. Y1 - 2024 UR - https://depatisnet.dpma.de/DepatisNet/depatisnet?window=1&space=menu&content=treffer&action=bibdat&docid=DE102015218948A1 ER - TY - PAT A1 - Wolff, Matthias A1 - Römer, Ronald A1 - Tschöpe, Constanze A1 - Hentschel, Dieter T1 - Method and Device for Controlling the Behavior of Systems T1 - Verfahren und Vorrichtung zur Verhaltenssteuerung von Systemen T1 - Procede et dispositif de commande du comportement de systemes Y1 - 2022 UR - https://register.epo.org/application?number=EP14749730&lng=en&tab=main ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Automatic decision making in SHM using hidden Markov models T2 - 18th International Conference on Database and Expert Systems Applications (DEXA 2007), Regensburg, September 3-7, 2007 Y1 - 2007 U6 - https://doi.org/10.1109/DEXA.2007.138 SP - 307 EP - 311 PB - IEEE ER - TY - GEN A1 - Tschöpe, Constanze A1 - Wolff, Matthias A1 - Hoffmann, Rüdiger T1 - Akustische Mustererkennung für die ZfP T2 - MP Materials Testing Y1 - 2009 SN - 0025-5300 VL - 51 IS - 10 SP - 701 EP - 704 ER - TY - CHAP A1 - Kordon, Ulrich A1 - Wolff, Matthias A1 - Tschöpe, Constanze ED - Gerlach, Gerald T1 - Mustererkennung für Sensorsignale Y1 - 2009 SN - 978-3-941298-55-2 SP - 69 EP - 78 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Statistical Classifiers for Structural Health Monitoring T2 - IEEE sensors journal Y1 - 2009 U6 - https://doi.org/10.1109/JSEN.2009.2019330 SN - 1530-437X VL - 9 IS - 11 SP - 1567 EP - 1576 ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Instrumentelle Bestimmung der Weichheit von Tissueprodukten T2 - Forum Akustische Qualitätssicherung 2010 der DGAQS, 03. und 04. November 2010 in Karlsruhe Y1 - 2010 SP - 3-1 EP - 3-3 PB - DGaQs CY - Karlsruhe ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias A1 - Hoffmann, Rüdiger ED - Becker-Schweitzer, Jörg T1 - Akustische Mustererkennung T2 - DAGA 2011, 37. Jahrestagung für Akustik, Düsseldorf, 21. - 24. 3. 2011, Tagungsband "Fortschritte der Akustik" Y1 - 2011 SN - 978-3-939296-02-7 SP - 345 EP - 346 PB - Dt. Gesellschaft für Akustik CY - Berlin ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias ED - Wolff, Matthias T1 - Zur Formulierung von Hidden-Markov-Modellen als endliche Transduktoren T2 - Elektronische Sprachsignalverarbeitung 2012, Tagungsband der 23. Konferenz, Cottbus, 29. - 31. August 2012 Y1 - 2012 SN - 978-3-942710-81-7 SP - 120 EP - 128 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Joneit, Dieter A1 - Duckhorn, Frank A1 - Hoffmann, Rüdiger A1 - Strecha, Guntram A1 - Wolff, Matthias T1 - Sprachsteuerung für Mess- und Prüfgeräte T2 - DGZfP-Jahrestagung 2011 Zerstörungsfreie Materialprüfung, 30. Mai - 1. Juni 2011, Bremen, Berichtsband Y1 - 2011 SN - 978-3-940283-33-7 PB - DGZfP CY - Berlin ER - TY - CHAP A1 - Wolff, Matthias A1 - Tschöpe, Constanze A1 - Römer, Ronald A1 - Wirsching, Günther ED - Wagner, Petra T1 - Subsymbol-Symbol-Transduktoren T2 - Elektronische Sprachsignalverarbeitung 2013, Tagungsband, Bielefeld, 2013 Y1 - 2013 SN - 978-3-94431-03-4 SP - 197 EP - 204 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias A1 - Hoffmann, Rüdiger ED - Wagner, Petra T1 - Anwendungen der akustischen Mustererkennung T2 - Elektronische Sprachsignalverarbeitung 2013, Tagungsband, Bielefeld, 2013 Y1 - 2013 SN - 978-3-94431-03-4 SP - 205 EP - 210 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias A1 - Duckhorn, Frank T1 - Zustandsüberwachung von Magnetventilen anhand der Schaltgeräusche T2 - ZfP in Forschung, Entwicklung und Anwendung, Potsdam, 26. - 28. Mai 2014, DGZfP-Jahrestagung 2014 Y1 - 2014 SN - 978-3-940283-61-0 PB - DGZfP CY - Berlin ER - TY - CHAP A1 - Wolff, Matthias A1 - Tschöpe, Constanze A1 - Römer, Ronald ED - Mehnert, Dieter ED - Kordon, Ulrich ED - Wolff, Matthias T1 - Quo vadis, UASR? T2 - Systemtheorie Signalverarbeitung Sprachtechnologie Y1 - 2013 SN - 978-3-944331-19-5 SP - 276 EP - 285 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Processing and evaluation of gear data using statistical classifiers T2 - Proceedings of the 6th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012), Vienna, Sep. 2012 Y1 - 2012 SN - 978-395-02481-9-7 CY - Vienna ER -