TY - CHAP A1 - Wolff, Matthias A1 - Meyer, Werner A1 - Römer, Ronald ED - Wirsching, Günther T1 - Modellierung von Bewältigungsverhalten mit Merkmal-Werte-Relationen T2 - Tagungsband, 26. Konferenz Elektronische Sprachsignalverarbeitung, 25.-27.03.2015, Eichstätt Y1 - 2015 SN - 978-3-95908-000-2 SP - 224 EP - 231 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Wolff, Matthias A1 - Römer, Ronald A1 - Wirsching, Günther T1 - Towards coping and imagination for cognitive agents T2 - 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Györ (Hungary), October 9-21, 2015 Y1 - 2015 U6 - https://doi.org/10.1109/CogInfoCom.2015.7390609 SP - 307 EP - 312 PB - IEEE ER - TY - GEN A1 - Tschöpe, Constanze A1 - Wolff, Matthias A1 - Petersen, Christer A1 - Buttgereit, David A1 - Krüger, Hauke A1 - Michel, Georg A1 - Göring, Elke T1 - Universal Cognitive User Interface, 27. Konferenz Elektronische Sprachsignalverarbeitung 2016, Leipzig, 02.-04.03.2016 - Postersitzung 1 Y1 - 2016 UR - http://www1.hft-leipzig.de/ice/essv2016/program_de.html CY - Leipzig ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Duckhorn, Frank A1 - Blüthgen, Peter A1 - Richter, Christian A1 - Papsdorf, Gunther A1 - Wolff, Matthias T1 - Miniaturisiertes System zur intelligenten Signalverarbeitung T2 - DGZFP-Jahrestagung 2017, Zerstörungsfreie Materialprüfung, Koblenz, 22.-24.05.2017, Kurzfassungen der Vorträge und Posterbeiträge Y1 - 2017 UR - https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0ahUKEwiOtpCM7-zUAhXBZ1AKHXMyBQYQFghDMAQ&url=https%3A%2F%2Fjahrestagung.dgzfp.de%2FPortals%2F151%2Fdownloads%2FKufa_alles_oP%2520-%2520GESAMT%2520-%2520ohne%2520Anzeigen.pdf%3Fver%3D2017-05-19-135955-633&usg=AFQjCNGFKZug7Xf1FFhVCqafxEFIyDEIeA&cad=rja SP - S. 192 PB - DGZIP CY - Berlin ER - TY - RPRT A1 - Tschöpe, Constanze A1 - Duckhorn, Frank A1 - Wolff, Matthias T1 - Akustische Mustererkennung: Qualitätskontrolle - Vorausschauende Instandhaltung - Zustandsüberwachung Y1 - 2017 UR - https://www.ikts.fraunhofer.de/content/dam/ikts/forschung/energiesysteme_bio_medizintechnik/bio_nanotechnologie/akustische_diagnostik/IKTS_White_Paper_Akustische_Mustererkennung.pdf PB - Fraunhofer-IKTS CY - Dresden ER - TY - CHAP A1 - Klimczak, Peter A1 - Römer, Ronald A1 - Wolff, Matthias ED - Trouvain, Jürgen ED - Steiner, Ingmar ED - Möbius, Bernd T1 - Ein Beitrag zur Formalisierung Finaler Systeme T2 - Tagungsband der 28. Konferenz Elektronische Sprachsignalverarbeitung (ESSV), 15.-17.03.2017, Saarbrücken Y1 - 2017 SN - 978-3-95908-094-1 SP - 228 EP - 237 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Schmitt, Ingo A1 - Römer, Ronald A1 - Wirsching, Günther A1 - Wolff, Matthias ED - Trouvain, Jürgen ED - Steiner, Ingmar ED - Möbius, Bernd T1 - Semantische Repräsentation strukturierter Objekte im Hilbertraum und deren Verarbeitung nach quantenmechanischen Formalismen T2 - Tagungsband der 28. Konferenz Elektronische Sprachsignalverarbeitung (ESSV), 15.-17.03.2017, Saarbrücken Y1 - 2017 SN - 978-3-95908-094-1 SP - 270 EP - 277 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Huber, Markus A1 - Römer, Ronald A1 - Wolff, Matthias ED - Trouvain, Jürgen ED - Steiner, Ingmar ED - Möbius, Bernd T1 - Little Drop of Mulligatawny Soup, Miss Sophie? Automatic Speech Understanding provided by Petri Nets T2 - Tagungsband der 28. Konferenz Elektronische Sprachsignalverarbeitung (ESSV), 15.-17.03.2017, Saarbrücken Y1 - 2017 SN - 978-3-95908-094-1 SP - 122 EP - 129 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Huber, Markus A1 - Wolff, Matthias ED - Aalst, Wil van der ED - Bergenthum, Robin ED - Carmona, Josep T1 - Segmenting Sequences Semantically. Using Petri Net Transducers for the Translation from Sequential Data to Non-Sequential Models T2 - Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2017 (ATAED 2017), June 26-27, Zaragoza, Spain Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0074-1847-5 UR - http://ceur-ws.org/Vol-1847/ N1 - Satellite event of the conferences: 38th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2017 and 17th International Conference on Application of Concurrency to System Design ACSD 2017, June 26-30, 2017 SP - 139 EP - 157 PB - RWTH CY - Aachen ER - TY - CHAP A1 - Klimczak, Peter A1 - Wirsching, Günther A1 - Wolff, Matthias ED - Klimczak, Peter ED - Petersen, Christer T1 - Kondome verschlimmern nur das Problem: Eine formale Semantik-Analyse T2 - Popestar. Der Papst und die Medien KW - Papst KW - Medien Y1 - 2017 SN - 978-3-86599-254-3 SP - 295 EP - 312 PB - Kadmos CY - Berlin ER - TY - CHAP A1 - Schmitt, Ingo A1 - Römer, Ronald A1 - Wirsching, Günther A1 - Wolff, Matthias T1 - Denormalized Quantum Density Operators for Encoding Semantic Uncertainty in Cognitive Agents T2 - 8th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2017 Proceedings, September 11-14, 2017 Debrecen, Hungary Y1 - 2017 SN - 978-1-5386-1264-4 N1 - IEEE Catalog Number: CFP1726R-ART SP - 165 EP - 170 PB - IEEE CY - Piscataway, NJ ER - TY - VIDEO A1 - Klimczak, Peter A1 - Wirsching, Günther A1 - Wolff, Matthias ED - Barbato, Mariano ED - Löffler, Johannes T1 - Condoms Just Make the Problem Worse: A Formal Semantic Analysis of the AIDS-Discourse Surrounding Pope Benedict N2 - “[…] the scourge [of AIDS] cannot be overcome by the distribution of condoms: on the contrary, they increase it.” The statement above by Pope Benedict XVI, at the beginning of his visit to Africa in March 2009, provoked a strong media reaction. It shall be at the centre of our project to apply a technical method for the analysis of dialogue semantics of spoken utterances, already proven in electronic speech signal processing, to communication between the pope and the press. In doing so, the meaning of an utterance beyond the utterance itself is to be found and affixed to subjective relations to reality, which we call “semantic anchors”. The application of such a method stands to reason in the case of cognitive machines whose 'subjective' realities are fully represented in memory contents; an application to the communication between pope and media appears at first glance less obvious, because it is initially not clear to what extent the media can at all be regarded as a “person” with independent cognitive structures. However, we will show in the following that formal methods can be used successfully even in this context, once the appropriate semantic anchors have been established. In doing so, we can also show that the subjective meanings of the pope's statement cited above are, due to the pope’s and press’s completely different discursive realities and the worlds of thought underlying the utterances, incompatible and thus cannot be squared with each other. KW - media KW - Pope KW - modal logic KW - radical behaviorism KW - cognitive systems Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?rtmp://live.uni-muenster.de/ImperiaVideo/_definst_/imperiavideo/religion_und_moderne/30_popes_on_the_rise___klimczak_wirsching_wolff_.mp4 UR - https://www.uni-muenster.de/Religion-und-Moderne/aktuelles/forschung/videos.html PB - Centrum für Religion und Moderne, Universität Münster CY - Münster ER - TY - CHAP A1 - Beim Graben, Peter A1 - Huber, Markus A1 - Römer, Ronald A1 - Schmitt, Ingo A1 - Wolff, Matthias ED - Berton, André ED - Haiber, Udo ED - Minker, Wolfgang T1 - Der Fockraum als Labyrinth: Wissensrepräsentation und Problemlösungen am Beispiel des Mouse-Maze-Problems T2 - Elektronische Sprachsignalverarbeitung, Tagungsband der 29. Konferenz, Ulm, 7.-9. März 2018 Y1 - 2018 UR - http://essv2018.de/de/programm/ SN - 978-3-95908-128-3 SP - 167 EP - 174 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Meyer, Werner A1 - Huber, Markus A1 - Wolff, Matthias ED - Berton, André ED - Haiber, Udo ED - Minker, Wolfgang T1 - Verhaltenssteuerung einer universellen kognitiven Benutzerschnittstelle anhand einer Heizungssteuerung T2 - Elektronische Sprachsignalverarbeitung, Tagungsband der 29. Konferenz, Ulm, 7.-9. März 2018 N2 - ucuikt2015 Y1 - 2018 UR - http://essv2018.de/de/programm/#poster_session SN - 978-3-95908-128-3 SP - 301 EP - 308 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Huber, Markus A1 - Wolff, Matthias A1 - Meyer, Werner A1 - Jokisch, Oliver A1 - Nowack, Kati T1 - Some Design Aspects of a Cognitive User Interface T2 - Online Journal of Applied Knowledge Management N2 - We report on research conducted as part of the Universal Cognitive User Interface (UCUI) project, which aims at developing a universal, autarkic module for intuitive interaction with technical devices. First, we present an empirical study of image schemas as basic building blocks of human knowledge. Image schemas have been studied extensively in cognitive linguistics, but insufficiently in the context of human-computer-interaction (HCI). Some image schemas are developed early at pre-verbal stages (e.g., up-down) and may, thus, exert greater influence on human knowledge than later developed image schemas (e.g., centre-periphery). To investigate this for HCI contexts, we applied a speech interaction task using a Wizard of Oz paradigm. Our results show that users apply early image schemas more frequently than late image schemas. They should, therefore, be given preference in interface designs. In the second part of this contribution we therefore focus on the appropriate representation and processing of semantics. We introduce novel theoretical work including feature-values-relations and Petri net transducers, and discuss their impact on behaviour control of cognitive systems. In addition, we illustrate some details of the implementation regarding learning strategies and the graphical user interface. N2 - ucuikt2015 KW - Cognitive system KW - intuitive interaction KW - image schema theory KW - feature-valuesrelation KW - Petri net transducer and behaviour control Y1 - 2018 UR - http://www.iiakm.org/ojakm/articles/2018/volume6_1.php SN - 2325-4688 N1 - Best Research Paper Award VL - 6 IS - 1 SP - 15 EP - 29 ER - TY - RPRT A1 - Wolff, Matthias T1 - The tikz-3dplot-circleofsphere Package: Drawing circles of a sphere with tikz-3dplot N2 - A circle of a sphere is a circle drawn on a spherical surface like, for instance, circles of latitude or longitude. Circles in arbitrary 3D positions can be drawn with TikZ very easily using a transformed coordinate system provided by the tikz-3dplot package (that is because TikZ can only draw circles on the xy-plane). However, automatically distinguishing the parts of the circle lying on the front and back sides of the sphere, e.g. by drawing a solid arc on the front side and a dashed one on the back side, is a somewhat tricky feat. The tikz-3dplot-circleofsphere package will perform that feat for you. Y1 - 2018 UR - https://www.researchgate.net/publication/326860782_The_tikz-3dplot-circleofsphere_Package_Drawing_circles_of_a_sphere_with_tikz-3dplot U6 - https://doi.org/10.13140/RG.2.2.27314.50888 ER - TY - RPRT A1 - Wolff, Matthias T1 - The tikz-quantumgates Package: Drawing quantum circuits with TikZ N2 - This package provides macros for drawing quantum gates and circuits with TikZ. Y1 - 2018 U6 - https://doi.org/10.13140/RG.2.2.35696.71685 ER - TY - CHAP A1 - Wolff, Matthias A1 - Wirsching, Günther A1 - Huber, Markus A1 - Beim Graben, Peter A1 - Römer, Ronald A1 - Schmitt, Ingo ED - Karpov, Alexey ED - Jokisch, Oliver ED - Potapova, Rodmonga T1 - A Fock Space Toolbox and Some Applications in Computational Cognition T2 - Speech and computer : 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18-22, 2018, proceedings N2 - We present a Matlab toolbox, called “FockBox”, handling Fock spaces and objects associated with Fock spaces: scalars, ket and bra vectors, and linear operators. We give brief application examples from computational linguistics, semantics processing, and quantum logic,demonstrating the use of the toolbox. KW - Fock space KW - Matlab KW - Computational linguistics KW - Semantics processing KW - Cognitive systems KW - Quantum logic KW - Computational cognition Y1 - 2018 SN - 978-3-319-99578-6 U6 - https://doi.org/10.1007/978-3-319-99579-3 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Wolff, Matthias A1 - Huber, Markus A1 - Wirsching, Günther A1 - Römer, Ronald A1 - Beim Graben, Peter A1 - Schmitt, Ingo T1 - Towards a Quantum Mechanical Model of the Inner Stage of Cognitive Agents T2 - 9th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2018), proceedings, Aug. 22-24, 2018, Budapest, Hungary N2 - We present a model, inspired by quantum field theory, of the so-called inner stage of technical cognitive agents. The inner stage represents all knowledge of the agent. It allows for planning of actions and for higher cognitive functions like coping and fantasy. By the example of a cognitive mouse agent living in a maze wold, we discuss learning, action planning, and attention in a fully deterministic setting and assuming a totally observable world. We explain the relevance of our approach to cognitive infocommunications. KW - cognitive systems KW - cognitive agents KW - quantum field theory KW - machine learning KW - inner stage KW - veridicality KW - attention modeling KW - ontology inference Y1 - 2018 UR - https://ieeexplore.ieee.org/document/8639892 SN - 978-1-5386-7094-1 U6 - https://doi.org/10.1109/CogInfoCom.2018.8639892 N1 - Best Paper Award SP - 147 EP - 152 PB - IEEE CY - Piscataway, NJ ER - TY - RPRT A1 - Huber, Markus A1 - Römer, Ronald A1 - Meyer, Werner A1 - beim Graben, Peter A1 - Wolff, Matthias T1 - Struktur und Bedeutung-Theseus reloaded N2 - Bereits in der Frühphase der Kybernetik stellte C. E. Shannon ein Labyrinthexperiment zur Problemlösung vor, das sich an der mythologischen Figur des Theseus orientierte. Seine Lösung kommt dabei ohne ein Bedeutungskonzept aus. Eine Problemanalyse aus psychologischer Sicht macht allerdings deutlich, dass bei diesem Experiment wesentliche kognitive Aspekte nicht berücksichtigt wurden. Um diese Aspekte herauszustellen, befassen wir uns kurz mit den mythologischen und historischen Hintergründen des Labyrinthproblems und erläutern anschließend, warum wir über Shannons Modellvorstellungen hinausgehen müssen und Verfahren benötigen, mit denen wir zu semantischen Datenträgern gelangen können. Zur Veranschaulichung unserer Methode modifizieren wir die Problemstellung, in dem wir "Theseus" die Befriedigung der Bedürfnisse Hunger und Durst ermöglichen. Die Grundlage des Verfahrens ist die Festlegung von Zielmerkmalen und daran anschließend die Identifikation von lösungsrelevanten Steuermerkmalen, welche "Theseus" zur Problemlösung nutzen kann. Wir verwenden dabei den mathematischen Formalismus der Quantenmechanik, da er uns die Ableitung von semantischen Strukturen auf eine sehr elegante Weise erlaubt. Zunächst exploriert "Theuseus" die Umgebung und erhält eine kompakte Repräsentation in Form eines Weltvektors in einem Hilbertraum, der durch Tensorverknüpfungen verschiedener Merkmalsräume entsteht. Die Kombination dieser Merkmalsräume führt auf die mathematische Struktur eines Verbandes. Ausgehend vom gefundenen Weltvektor stellen wir ein Verfahren vor, mit dem "Theseus" Unterstrukturen des Verbandes bestimmen kann, welche semantischen Strukturen entsprechen und anschließend für die Problemlösung verwendet werden können. Wir demonstrieren das Verfahren an verschiedenen Weltkonfigurationen. Den dabei abgeleiteten semantischen Strukturen kann man entnehmen, welche Merkmale berücksichtigt werden müssen, um die Zielmerkmale einer gegebenen Konfiguration manipulieren zu können. Y1 - 2019 UR - https://www.researchgate.net/publication/330514334_Struktur_und_Bedeutung-Theseus_reloaded ER - TY - CHAP A1 - Beim Graben, Peter A1 - Meyer, Werner A1 - Römer, Ronald A1 - Wolff, Matthias ED - Birkholz, Peter ED - Stone, Simon T1 - Bidirektionale Utterance-Meaning-Transducer für Zahlworte durch kompositionale minimalistische Grammatiken T2 - Elektronische Sprachsignalverarbeitung 2019, Tagungsband der 30. Konferenz Dresden, 3.-8. März 2019 N2 - Sprachgesteuerte Benutzerschnittstellen stehen oftmals vor der Aufgabe, physikalische Größenangaben und andere Zahlworte verstehen und äußern zu müssen. Wir beschränken uns hier auf die sprachliche Produktion und das Verstehen von Zahlworten. Um nicht sämtliche Zahlwörter in einer Datenbank (dem mentalen Lexikon) vorhalten zu müssen, sollen morphologische Komposita durch eine geeignete Grammatik ableitbar sein. Wir kodieren sprachliche Zeichen als geordnete Tripel von Exponenten, syntaktischen Typen und Semantiken. Der syntaktische Typ wird durch eine minimalistische Grammatik (MG) beschrieben. Für die Semantik verwenden wir den Lambda-Kalkül der arithmetischen Termalgebra. Auf dem MG-Lexikon operieren syntaktische Erzeugungsfunktionen, die durch linguistische Inferenzregeln vorgegeben sind. Sprachproduktion und Sprachverstehen lassen sich dann durch einen bidirektionalen Utterance-Meaning-Transducer (UMT) beschreiben. Bei der Sprachproduktion gehen wir von einer semantischen Repräsentation einer Zahl als arithmetische Termstruktur aus. Durch Datenbankabfrage wird daraus eine Zeichenfolge, welche die passenden Lexikon-Einträge enthält. Daraus berechnet der UMT die Morphologie der Äußerung. Beim Sprachverstehen wird zur Eingabe die abgefragte Zeichenfolge auf dem Stack eines Priority-Queue-Parsers abgespeichert. Durch Anwendung der minimalistischen Inferenzregeln erzeugt der UMT dann schrittweise die semantische Termstruktur. Y1 - 2019 UR - https://www.researchgate.net/publication/330634207 SN - 978-3-95908-157-3 SP - 76 EP - 82 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Klimczak, Peter A1 - Wirsching, Günther A1 - Wolff, Matthias ED - Birkholz, Peter ED - Stone, Simon T1 - Lernen durch Differenz. Zur logisch-mathematischen Struktur maschinellen Lernens T2 - Elektronische Sprachsignalverarbeitung 2019 : Tagungsband der 30. Konferenz, Dresden, 6.-8. März 2019 N2 - Diese theoretische Untersuchung hat das Ziel, eine für maschinelles Lernen geeignete logisch-mathematische Formulierung des operanten Konditionierens nach B. F. Skinner zu finden. Dazu wählen wir zu jedem Lernreiz eine Differenzvariable, wobei wir unter Differenz eine Wahrnehmung von Unterschieden auf Seiten des Lernenden zwischen dem Zustand der Welt vor und nach seinem Verhalten verstehen. Da ein Lernreiz nicht vorhanden oder vorhanden und im letzterenFall negativ oder positiv sein kann, besteht der Wertebereich einer Differenzvaria-blen im einfachsten Fall aus drei möglichen Werten: +1, 0 und −1. Abschließendstellen wir eine Verbindung zum Stevensschen Potenzgesetz her und skizzieren eine quantenlogische Modellierung. KW - Maschinelles Lernen, künstliche Intelligenz, formale Logik, Quantenlogik Y1 - 2019 SN - 978-3-959081-57-3 SN - 3-95908-157-X SN - 0940-6832 SP - 59 EP - 67 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Schmitt, Ingo A1 - Wirsching, Günther A1 - Wolff, Matthias ED - Khrennikov, Andrei ED - Melucci, Massimo ED - Bourama, Toni T1 - Quantum-Based Modelling of Database States T2 - Quantum-Like Models for Information Retrieval and Decision-Making Y1 - 2019 UR - https://www.springer.com/de/book/9783030259129 SN - 978-3-030-25912-9 SN - 978-3-030-25913-6 U6 - https://doi.org/10.1007/978-3-030-25913-6 SP - 115 EP - 127 PB - Springer Nature Switzerland AG, Springer International Publishing CY - Cham ET - 1. Auflage ER - TY - GEN A1 - Römer, Ronald A1 - Beim Graben, Peter A1 - Wolff, Matthias ED - Birkholz, Peter ED - Stone, Simon T1 - Entscheidungstheoretische Modellierung der konsummatorischen Endhandlung – Vergleich von klassischen und quantenmechanischen Ansätzen T2 - Elektronische Sprachsignalverarbeitung 2019, Tagungsband der 30. Konferenz Dresden, 6.-8. März 2019 N2 - Ein wesentlicher Bestandteil kognitiver – und damit auch sprach-verarbeitender – Agentensysteme ist die Verhaltenssteuerung. Eine ihrer wichtigsten Aufgaben besteht darin, Entscheidungsprobleme, die in der Auseinandersetzung mit der physischen Umgebung eines Agenten auftreten, rational zu lösen. Zunächst diskutieren wir die klassischen, nutzenbasierten Entscheidungsmodelle für sequentielle- und episodische Umgebungen am Beispiel des Mouse-Maze-Problems. Zu letzteren gehören die sogenannten konsummatorischen Endhandlungen, sie stehen im Mittelpunkt dieser Arbeit. Weil sich Entscheidungen bei Endhandlungen final auf die Lebensdauer des Agenten auswirken können, dürfen Fehlleistungen und Täuschungen nur äußerst selten auftreten. Aus diesem Grund stellen wir der rationalen Methode die psychologische Methode entgegen, die zusätzlich auf der Einführung von semantischen Kategorien beruht. Die dafür benötigten semantischen Repräsentationen modellieren wir nach einem quantenmechanischen Formalismus. Daraus leitet sich die zentrale Fragestellung dieser Arbeitab: Bietet die quantenmechanische Perspektive einen Mehrwert bei der Modellierung der konsummatorischen Endhandlung und lässt sich dieser Formalismus inden Perzeptions-Aktionszyklus (PAC) eines kognitiven Agenten einbetten. Y1 - 2019 UR - http://www.essv.de/pdf/2019_186_196.pdf SN - 978-3-959081-57-3 SP - 186 EP - 196 PB - TUDpress CY - Dresden ET - 1. Auflage ER - TY - GEN A1 - Römer, Ronald A1 - beim Graben, Peter A1 - Huber, Markus A1 - Wolff, Matthias A1 - Wirsching, Günther A1 - Schmitt, Ingo T1 - Behavioral Control of Cognitive Agents Using Database Semantics and Minimalist Grammars T2 - Proceedings 10th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2019, Oct. 23-25 Y1 - 2019 SN - 978-1-7281-4793-2 SN - 978-1-7281-4792-5 U6 - https://doi.org/10.1109/CogInfoCom47531.2019.9089947 SN - 2380-7350 SP - 73 EP - 78 CY - Naples, Italy ER - TY - GEN A1 - Beim Graben, Peter A1 - Römer, Ronald A1 - Meyer, Werner A1 - Huber, Markus A1 - Wolff, Matthias T1 - Reinforcement learning of minimalist numeral grammars T2 - 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Naples, Italy N2 - Speech-controlled user interfaces facilitate the operation of devices and household functions to laymen. State-of-the-art language technology scans the acoustically analyzed speech signal for relevant keywords that are subsequently inserted into semantic slots to interpret the user's intent. In order to develop proper cognitive information and communication technologies, simple slot-filling should be replaced by utterance meaning transducers (UMT) that are based on semantic parsers and a mental lexicon, comprising syntactic, phonetic and semantic features of the language under consideration. This lexicon must be acquired by a cognitive agent during interaction with its users. We outline a reinforcement learning algorithm for the acquisition of the syntactic morphology and arithmetic semantics of English numerals, based on minimalist grammar (MG), a recent computational implementation of generative linguistics. Number words are presented to the agent by a teacher in form of utterance meaning pairs (UMP) where the meanings are encoded as arithmetic terms. Since MG encodes universal linguistic competence through inference rules, thereby separating innate linguistic knowledge from the contingently acquired lexicon, our approach unifies generative grammar and reinforcement learning, hence potentially resolving the still pending Chomsky-Skinner controversy. Y1 - 2019 UR - https://arxiv.org/abs/1906.04447 SN - 978-1-7281-4793-2 SN - 978-1-7281-4792-5 SN - 978-1-7281-4794-9 U6 - https://doi.org/10.1109/CogInfoCom47531.2019.9089924 SN - 2380-7350 ER - TY - GEN A1 - Römer, Ronald A1 - beim Graben, Peter A1 - Huber, Markus A1 - Klimczak, Peter A1 - Wirsching, Günther A1 - Wolff, Matthias ED - Wendemuth, Andreas ED - Böck, Ronald ED - Siegert, Ingo T1 - Die Welt ist nicht genug! Man muss auch über sie sprechen können T2 - Elektronische Sprachsignalverarbeitung 2020 : Tagungsband der 31. Konferenz Magdeburg, 4. - 6. März 2020 Y1 - 2020 SN - 978-3-95908-193-1 SN - 0940-6832 SP - 173 EP - 184 PB - TUDpress CY - Dresden ER - TY - PAT A1 - Wolff, Matthias A1 - Römer, Ronald A1 - Tschöpe, Constanze A1 - Hentschel, Dieter T1 - Verfahren und Vorrichtung zur Verhaltenssteuerung von Systemen Y1 - 2020 ER - TY - GEN A1 - Römer, Ronald A1 - beim Graben, Peter A1 - Huber-Liebl, Markus A1 - Wolff, Matthias T1 - Unifying Physical Interaction, Linguistic Communication, and Language Acquisition of Cognitive Agents by Minimalist Grammars T2 - Frontiers in Computer Science N2 - Cognitive agents that act independently and solve problems in their environment on behalf of a user are referred to as autonomous. In order to increase the degree of autonomy, advanced cognitive architectures also contain higher-level psychological modules with which needs and motives of the agent are also taken into account and with which the behavior of the agent can be controlled. Regardless of the level of autonomy, successful behavior is based on interacting with the environment and being able to communicate with other agents or users. The agent can use these skills to learn a truthful knowledge model of the environment and thus predict the consequences of its own actions. For this purpose, the symbolic information received during the interaction and communication must be converted into representational data structures so that they can be stored in the knowledge model, processed logically and retrieved from there. Here, we firstly outline a grammar-based transformation mechanism that unifies the description of physical interaction and linguistic communication and on which the language acquisition is based. Specifically, we use minimalist grammar (MG) for this aim, which is a recent computational implementation of generative linguistics. In order to develop proper cognitive information and communication technologies, we are using utterance meaning transducers (UMT) that are based on semantic parsers and a mental lexicon, comprising syntactic and semantic features of the language under consideration. This lexicon must be acquired by a cognitive agent during interaction with its users. To this aim we outline a reinforcement learning algorithm for the acquisition of syntax and semantics of English utterances. English declarative sentences are presented to the agent by a teacher in form of utterance meaning pairs (UMP) where the meanings are encoded as formulas of predicate logic. Since MG codifies universal linguistic competence through inference rules, thereby separating innate linguistic knowledge from the contingently acquired lexicon, our approach unifies generative grammar and reinforcement learning, hence potentially resolving the still pending Chomsky-Skinner controversy. btuktuminglear, btuktsptech, btuktcogsys Y1 - 2022 UR - https://www.frontiersin.org/article/10.3389/fcomp.2022.733596 U6 - https://doi.org/10.3389/fcomp.2022.733596 SN - 2624-9898 IS - 4 ER - TY - GEN A1 - Meyer, Werner A1 - Borislavov, Borislav A1 - Eckert, Friedrich A1 - Richter, Christian A1 - Römer, Ronald A1 - Beim Graben, Peter A1 - Huber, Markus A1 - Wolff, Matthias ED - Hillmann, Stefan ED - Weiss, Benjamin ED - Michael, Thilo ED - Möller, Sebastian T1 - Formalisierung und Implementierung einer adaptiven kognitiven Architektur unter Verwendung von Strukturdiagrammen T2 - Elektronische Sprachsignalverarbeitung 2021 : Tagungsband der 32. Konferenz Berlin, 3.-5. März 2021 N2 - Das Fachgebiet der Kognitiven Technischen Systeme zeichnet sich durch einen hohen Grad an Interdisziplinarität (z. B. Kenntnisse auf den Gebieten Biologie, Psychologie, Informatik und den Ingenieurwissenschaften) aus. Nach wie vor besteht Bedarf an einer methodischen Darstellung des Fachgebietes, bei der die theoretische Durchdringung von Zusammenhängen zwischen den verschiedenen Wissensgebieten zusätzlich durch Anschaulichkeit unterstützt wird. Die vorliegende Arbeit stellt einen Fortschrittsbericht zur Realisierung eines Forschungs- und Experimentiersystems dar, mit dem wir dieses Anliegen unterstützen und über das wir erstmals konzeptionell in [1] berichtet haben. In diesem Beitrag folgen wir einem integrativen Ansatz zur Entwicklung einer kognitiven Architektur, mit der unter Verwendung repräsentationaler Datenstrukturen adaptives Verhalten auf verschiedenen Zeitskalen sowie zwei wichtige Verhaltensprogramme für das Problemlösen (Objektfindung, Exploration) auf der gemeinsamen Grundlage von Markov-Entscheidungsprozessen umgesetzt werden. Mit einem Kurzbericht zum Entwicklungsstand der physikalischen Experimentierumgebung und einer Zusammenfassung der bislang erreichten Ergebnisse beschließen wir den diesjährigen Beitrag. Y1 - 2021 UR - https://www.essv.de/?year=2021 SN - 978-3-959082-27-3 SN - 0940-6832 SP - 67 EP - 76 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Beim Graben, Peter A1 - Huber, Markus A1 - Meyer, Werner A1 - Römer, Ronald A1 - Wolff, Matthias T1 - Vector Symbolic Architectures for Context-Free Grammars T2 - Cognitive Computation N2 - Vector symbolic architectures (VSA) are a viable approach for the hyperdimensional representation of symbolic data, such as documents, syntactic structures, or semantic frames. We present a rigorous mathematical framework for the representation of phrase structure trees and parse trees of context-free grammars (CFG) in Fock space, i.e. infinite-dimensional Hilbert space as being used in quantum field theory. We define a novel normal form for CFG by means of term algebras. Using a recently developed software toolbox, called FockBox, we construct Fock space representations for the trees built up by a CFG left-corner (LC) parser. We prove a universal representation theorem for CFG term algebras in Fock space and illustrate our findings through a low-dimensional principal component projection of the LC parser state. Our approach could leverage the development of VSA for explainable artificial intelligence (XAI) by means of hyperdimensional deep neural computation. Y1 - 2021 U6 - https://doi.org/10.1007/s12559-021-09974-y SN - 1866-9964 VL - 14 IS - 2 SP - 733 EP - 748 ER - TY - GEN A1 - Huber-Liebl, Markus A1 - Römer, Ronald A1 - Wirsching, Günther A1 - Schmitt, Ingo A1 - beim Graben, Peter A1 - Wolff, Matthias T1 - Quantum-inspired Cognitive Agents T2 - Frontiers in Applied Mathematics and Statistics N2 - The concept of intelligent agents is—roughly speaking—based on an architecture and a set of behavioral programs that primarily serve to solve problems autonomously. Increasing the degree of autonomy and improving cognitive performance, which can be assessed using cognitive and behavioral tests, are two important research trends. The degree of autonomy can be increased using higher-level psychological modules with which needs and motives are taken into account. In our approach we integrate these modules in architecture for an embodied, enactive multi-agent system, such that distributed problem solutions can be achieved. Furthermore, after uncovering some weaknesses in the cognitive performance of traditionally designed agents, we focus on two major aspects. On the one hand, the knowledge processing of cognitive agents is based on logical formalisms, which have deficiencies in the representation and processing of incomplete or uncertain knowledge. On the other hand, in order to fully understand the performance of cognitive agents, explanations at the symbolic and subsymbolic levels are required. Both aspects can be addressed by quantum-inspired cognitive agents. To investigate this approach, we consider two tasks in the sphere of Shannon's famous mouse-maze problem: namely classifying target objects and ontology inference. First, the classification of an unknown target object in the mouse-maze, such as cheese, water, and bacon, is based on sensory data that measure characteristics such as odor, color, shape, or nature. For an intelligent agent, we need a classifier with good prediction accuracy and explanatory power on a symbolic level. Boolean logic classifiers do work on a symbolic level but are not adequate for dealing with continuous data. Therefore, we demonstrate and evaluate a quantum-logic-inspired classifier in comparison to Boolean-logic-based classifiers. Second, ontology inference is iteratively achieved by a quantum-inspired agent through maze exploration. This requires the agent to be able to manipulate its own state by performing actions and by collecting sensory data during perception. We suggest an algebraic approach where both kinds of behaviors are uniquely described by quantum operators. The agent's state space is then iteratively constructed by carrying out unitary action operators, while Hermitian perception operators act as observables on quantum eigenstates. As a result, an ontology emerges as the simultaneous solution of the respective eigenvalue equations. Tags: btuktqiai; btuktcogsys; btukttheseus; btuktqtheseus Y1 - 2022 UR - https://www.frontiersin.org/articles/10.3389/fams.2022.909873 U6 - https://doi.org/10.3389/fams.2022.909873 SN - 2297-4687 IS - 8 SP - 1 EP - 31 ER - TY - GEN A1 - Maier, Isidor Konrad A1 - Wolff, Matthias T1 - A Decomposition Algorithm for Numerals based on Arithmetics N2 - Poster presentation for an idea to decompose numerals Y1 - 2022 U6 - https://doi.org/10.5281/zenodo.7501698 ER - TY - GEN A1 - Tschöpe, Constanze A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Wolff, Matthias T1 - Sprachtechnologie und akustische Mustererkennung in der medizinischen Anwendung T2 - 16. Landeskonferenz „Digitalisierung im Gesundheitswesen“ 2021 Y1 - 2021 UR - https://www.digital-agentur.de/veranstaltungen/telemed UR - https://www.digital-agentur.de/fileadmin/06_Bilddatenbank/Gesundheit/Telemed/Praesentationen/Tscho__pe_Impuls_Telemed21.pdf ER - TY - GEN A1 - Römer, Ronald A1 - beim Graben, Peter A1 - Huber-Liebl, Markus A1 - Wolff, Matthias T1 - (Pre-)linguistic Problem Solving based on Dynamic Semantics T2 - 14th IEEE International Conference on Cognitive Infocommunications – CogInfoCom 2023, September 22-23, Budapest, Hungary Y1 - 2023 SN - 979-8-3503-2565-2 SN - 979-8-3503-2566-9 U6 - https://doi.org/10.1109/CogInfoCom59411.2023.10397487 SN - 2473-5671 SN - 2380-7350 SP - 147 EP - 152 ER - TY - GEN A1 - Maier, Isidor Konrad A1 - Kuhn, Johannes A1 - Beisegel, Jesse A1 - Huber-Liebl, Markus A1 - Wolff, Matthias T1 - Minimalist Grammar: Construction without Overgeneration T2 - arXiv N2 - In this paper we give instructions on how to write a minimalist grammar (MG). In order to present the instructions as an algorithm, we use a variant of context free grammars (CFG) as an input format. We can exclude overgeneration, if the CFG has no recursion, i.e. no non-terminal can (indirectly) derive to a right-hand side containing itself. The constructed MGs utilize licensors/-ees as a special way of exception handling. A CFG format for a derivation A_eats_B↦∗peter_eats_apples, where A and B generate noun phrases, normally leads to overgeneration, e.\,g., i_eats_apples. In order to avoid overgeneration, a CFG would need many non-terminal symbols and rules, that mainly produce the same word, just to handle exceptions. In our MGs however, we can summarize CFG rules that produce the same word in one item and handle exceptions by a proper distribution of licensees/-ors. The difficulty with this technique is that in most generations the majority of licensees/-ors is not needed, but still has to be triggered somehow. We solve this problem with ϵ-items called \emph{adapters}. Y1 - 2023 UR - https://arxiv.org/abs/2311.01820 U6 - https://doi.org/10.48550/arXiv.2311.01820 ER - TY - GEN A1 - Kuhn, Johannes A1 - Wolff, Matthias A1 - Borislavov, Borislav T1 - Epsilon-Verarbeitung bei Minimalistischen Grammatiken für Zahlen T2 - Elektronische Sprachsignalverarbeitung, Tagungsband der 35. Konferenz, 06.-08.03.2024, Regensburg N2 - Um bei Minimalistischen Grammatiken (MG) Übergenerierung zu vermeiden, kann man Einträge mit leeren Exponenten (ε-Einträge) verwenden. Ein Eintrag besteht aus einem Exponenten, der die Äußerung oder Schrift eines Wortes repräsentiert, einer Merkmalsliste, welche die Syntax kodiert und einem λ-Ausdruck, der die Semantik repräsentiert. Leere Einträge führen allerdings zu einer schlechteren Verwendbarkeit der Grammatik für das Parsen. Die vorliegende Arbeit wird ein Umformungsalgorithmus für MGs vorstellen, sodass die Anzahl der ε-Einträge verringert werden kann, um sie wieder für Parser verwendbar zu machen. Hierzu werden die ε-Einträge mit den anderen Einträgen vorverarbeitet und dadurch neue Einträge geschaffen. Die nun überflüssigen ε-Einträge können dann problemlos entfernt werden. Der Algorithmus wurde anhand von über 260 Zahlwortgrammatiken getestet. Y1 - 2024 UR - https://www.essv.de/pdf/2024_78_85.pdf?id=1208 SN - 978-3-95908-325-6 SN - 0940-6832 SP - 78 EP - 85 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Kuhn, Johannes A1 - Wolff, Matthias A1 - Maier, Isidor Konrad ED - Grawunder, Sven T1 - Wortgenerator für Minimalistische Grammatiken T2 - Elektronische Sprachsignalverarbeitung, Tagungsband der 36. Konferenz, 05.-07.03.2025, Halle/Saale N2 - Um eine bidirektionale Verarbeitung von Sprache zu realisieren, ist es von Vorteil den gleichen Sprachformalismus für das Parsen und die Generierung zu verwenden. Für Minimalistische Grammatiken gibt es eine ausgeprägte Literatur zu Parsern, aber noch keine Veröffentlichung zu Generatoren. Diese Arbeit stellt einen ersten Generator vor, der mittels Minimalistischer Grammatiken und λ-Ausdrücken, Sätze erzeugt. Der hier vorgestellte Generator kann entgegen manchen anderen Generatoren, von anderen Grammatikformalismen, mit ε-Regeln arbeiten. Y1 - 2025 UR - https://www.essv.de/pdf/2025_27_34.pdf SN - 978-3-95908-803-9 SN - 0940-6832 SP - 27 EP - 34 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Huber-Liebl, Markus A1 - Rosenow, Tillmann A1 - Römer, Ronald A1 - Wirsching, Günther A1 - Wolff, Matthias ED - Grawunder, Sven T1 - It all starts with a little difference : tensors as data and code. T2 - Elektronische Sprachsignalverarbeitung 2025 : Tagungsband der 36. Konferenz Halle/Saale, 5.–7. März 2025 N2 - We further promote the idea of quantum inspiration and propose to equip cognitive systems not only with tensors for data representation but also for operation representation. We argue that these are two sides of the same coin. For experimental symbolic algorithms we introduce a suitable testbed and give its proper specification. We formalize our method of behavioural control with tensor algebra and discuss its implementation for our physical testbed realization. Y1 - 2025 UR - https://www.essv.de/pdf/2025_170_179.pdf?id=1250 SN - 978-3-95908-803-9 SN - 0940-6832 SP - 170 EP - 179 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Maier, Isidor Konrad A1 - Rosenow, Tillmann A1 - Tuuri, Okko A1 - Wolff, Matthias ED - Grawunder, Sven T1 - Frequency-magnitude relation of numeral words based on search-engine results T2 - Elektronische Sprachsignalverarbeitung, Tagungsband der 36. Konferenz, 05.-07.03.2025, Halle/Saale N2 - We googled various numeral words from 28 languages. Different approaches for the description of the data were investigated. In all of the 28 languages, the found frequency-magnitude dependence fits better to a power law than to an exponential law. The result can be used to distinguish grammatically correct from incorrect numerals based on the prediction of search results. Y1 - 2025 UR - http://www.essv.de SN - 978-3-95908-803-9 SN - 0940-6832 SP - 51 EP - 60 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Wolff, Matthias A1 - Schubert, R. A1 - Hoffmann, Rüdiger A1 - Tschöpe, Constanze A1 - Schulze, E. A1 - Neunübel, H. T1 - Experiments in Acoustic Structural Health Monitoring of Airplane Parts T2 - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), 30.3.-4.4.2008, Las Vegas, USA Y1 - 2008 SN - 978-1-4244-1483-3 U6 - https://doi.org/10.1109/ICASSP.2008.4518040 SP - 2037 EP - 2040 PB - IEEE ER - 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 - TY - GEN A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Ju, Yong Chul A1 - Tschöpe, Constanze A1 - Richter, Christian A1 - Wolff, Matthias T1 - Acoustic Resonance Recognition of Coins T2 - 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 25-28 May 2020, Dubrovnik, Croatia N2 - In this study, we compare different machine learning approaches applied to acoustic resonance recognition of coins. Euro-cents and Euro-coins were classified by the sound emerging when throwing the coins onto a hard surface.The used dataset is a representative example of a small data which was collected in carefully prepared experiments.Due to the small number of coin specimens and the count of the collected observations, it was interesting to see whether deep learning methods can achieve similarly or maybe even better classification performances compared with more traditional methods.The results of the multi-class prediction of coin denominations are presented and compared in terms of balanced accuracy and Matthews Correlation Coefficient metrics. The feature analysis methods combined with the employed classifiers achieved acceptable results, despite the relatively small dataset. Y1 - 2020 SN - 978-1-7281-4460-3 SN - 978-1-7281-4461-0 U6 - https://doi.org/10.1109/I2MTC43012.2020.9129256 PB - IEEE Xplore ER - TY - GEN A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Ju, Yong Chul A1 - Tschöpe, Constanze A1 - Wolff, Matthias ED - Maglogiannis, Ilias ED - Iliadis, Lazaros S. ED - Pimenidis, Elias T1 - Acoustic Resonance Testing of Glass IV Bottles T2 - Artificial Intelligence Applications and Innovations : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II N2 - In this paper, acoustic resonance testing on glass intravenous (IV) bottles is presented. Different machine learning methods were applied to distinguish acoustic observations of bottles with defects from the intact ones. Due to the very limited amount of available specimens, the question arises whether the deep learning methods can achieve similar or even better detection performance compared with traditional methods. Y1 - 2020 SN - 978-3-030-49186-4 SN - 978-3-030-49185-7 U6 - https://doi.org/10.1007/978-3-030-49186-4_17 SN - 1868-4238 SN - 1868-422X VL - Cham SP - 195 EP - 206 PB - Springer International Publishing ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Duckhorn, Frank A1 - Huber, Markus A1 - Meyer, Werner A1 - Wolff, Matthias ED - Karpov, Alexey ED - Jokisch, Oliver ED - Potapova, Rodmonga T1 - A Cognitive User Interface for a Multi-Modal Human-Machine Interaction T2 - Speech and computer : 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18-22, 2018, proceedings Y1 - 2018 UR - https://link.springer.com/chapter/10.1007/978-3-319-99579-3_72 SN - 978-3-319-99578-6 U6 - https://doi.org/10.1007/978-3-319-99579-3 SP - 707 EP - 717 PB - Springer International Publishing CY - Cham ER - TY - GEN A1 - Duckhorn, Frank A1 - Huber, Markus A1 - Meyer, Werner A1 - Jokisch, Oliver A1 - Tschöpe, Constanze A1 - Wolff, Matthias ED - Lacerda, Francisco T1 - Towards an Autarkic Embedded Cognitive User Interface T2 - Proceedings Interspeech 2017, 20-24 August 2017, Stockholm N2 - ucuikt2015 Y1 - 2017 UR - http://www.isca-speech.org/archive/Interspeech_2017/ U6 - https://doi.org/10.21437/Interspeech.2017 SP - 3435 EP - 3436 PB - ISCA ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Duckhorn, Frank A1 - Richter, Christian A1 - Blüthgen, Peter A1 - Wolff, Matthias T1 - Intelligent Signal Processing on a Miniaturized Hardware Module T2 - IEEE SENSORS Proceedings, Glasgow, Scotland, UK, Oct. 29 - Nov. 1, 2017 Y1 - 2017 UR - http://ieeexplore.ieee.org/document/8234023/ SN - 978-1-5090-1012-7 U6 - https://doi.org/10.1109/ICSENS.2017.8234023 N1 - IEEE Catalog Numer: CFP17SEN-ART PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Mustererkennung in der technischen Diagnose T2 - Tagungsband der 12. Tagung Technische Diagnostik 2016, 20.-21.10.2016, Hochschule Merseburg Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:3:2-68977 UR - https://www.hs-merseburg.de/fileadmin/redaktion/Weiterbildung/Tagungsband_12._Tagung_Technische_Diagnostik.pdf SN - 978-3-942703-64-2 N1 - Untersützt vom VDI Bezirksverein Halle SP - 124 EP - 125 PB - Hochschule Merseburg CY - Merseburg ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Duckhorn, Frank A1 - Richter, Christian A1 - Blüthgen, Peter A1 - Wolff, Matthias T1 - An embedded system for acoustic pattern recognition T2 - IEEE SENSORS Proceedings, Glasgow, Scotland, UK, Oct. 29 - Nov. 1, 2017 Y1 - 2017 SN - 978-1-5090-1012-7 U6 - https://doi.org/10.1109/ICSENS.2017.8234380 N1 - IEEE Catalog Numer: CFP17SEN-ART PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Tschöpe, Constanze A1 - Wolff, Matthias A1 - Saeltzer, G. T1 - Estimating blood sugar from voice samples : a preliminary study T2 - 2015 International Conference on Computational Science and Computational Intelligence (CSCI 2015), Las Vegas, December 7-9, 2015 Y1 - 2015 U6 - https://doi.org/10.1109/CSCI.2015.184 SP - 804 EP - 805 PB - IEEE ER - TY - GEN A1 - Tschöpe, Constanze A1 - Mühle, Maximilian A1 - Ju, Yong Chul A1 - Kraljevski, Ivan A1 - Wolff, Matthias T1 - Künstliche Intelligenz in der ZfP - Welchen Beitrag kann KI in der ZfP leisten? T2 - DGZfP-Jahrestagung 2021, 10.-11. Mai N2 - Künstliche Intelligenz zieht derzeit in alle Bereiche der Gesellschaft und des Lebens ein. Aber welchen Stellenwert hat sie momentan auf dem Gebiet der zerstörungsfreien Prüfung? Was kann KI leisten? Welche Herausforderungen müssen erfolgreich bewältigt werden? Gibt es das eine KI-Verfahren, welches prinzipiell für ZfP geeignet ist? Bei der Bauteil- und Materialprüfung während und unmittelbar nach der Herstellung, der Überwachung von Verschleißteilen in Maschinen und Anlagen oder der Schadensdetektion an Bauteilen und Komponenten liefern ZfP-Verfahren Daten, die bewertet werden müssen. Obwohl inzwischen sehr leistungsfähige Toolkits verfügbar sind, erfordert der optimale Einsatz der KI für ein ZfP-Verfahren oftmals mehr. Die meisten Kunden möchten nicht nur eine Lösung ihres Problems; sie wollen verstehen, warum die KI so und nicht anders entschieden hat, warum der Klassifikator das Bauteil einer bestimmten Klasse (z. B. gut/schlecht oder neuwertig/verschlissen/defekt) zugewiesen hat. Abhängig von der Klassifikationsaufgabe sowie der Art und der Anzahl der vorliegenden Daten kann ein geeignetes Verfahren bestimmt werden. Mit Methoden des maschinellen Lernens werden Modelle gebildet, welche die Basis für die KI-Verfahren zur Klassifikation bilden. Der Beitrag liefert einen Überblick über KI-Verfahren und deren Anwendungen in der zerstörungsfreien Prüfung. Zahlreiche Beispiele und Ergebnisse werden vorgestellt, um die Mannigfaltigkeit des Einsatzes in der ZfP und der bestehenden Möglichkeiten zu demonstrieren. Y1 - 2017 UR - https://jt2021.dgzfp.de/portals/jt2021/bb176/inhalt/autoren.htm#T SN - 978-3-947971-18-3 ER - TY - GEN A1 - Kraljevski, Ivan A1 - Rjelka, Marek A1 - Duckhorn, Frank A1 - Tschöpe, Constanze A1 - Wolff, Matthias ED - Hillmann, Stefan ED - Weiss, Benjamin ED - Michael, Thilo ED - Möller, Sebastian T1 - Cross-Lingual Acoustic Modeling in Upper Sorbian – Preliminary Study T2 - Elektronische Sprachsignalverarbeitung 2021 : Tagungsband der 32. Konferenz Berlin, 3.-5. März 2021 N2 - In this paper, we present a preliminary study for acoustic modeling in Upper Sorbian, where a model of German was used in cross-lingual transfer learning. At first, we define the grapheme and phoneme inventories and map the target phonemes from the most similar German source equivalents. Phonetically balanced sentences for the recording prompts were selected from a combination of general and domain-specific textual data. The speech corpora with a total duration of around 11 hours was collected in controlled recording sessions involving an equal number of females, males, and children. The baseline acoustic model was employed to force-align the speech corpora given the knowledge-based phoneme mappings. How well the mappings were, was evaluated by the phoneme confusions in free-phoneme recognition. The new derived data-driven model with a reduced phoneme set was included in the adaptation and evaluation along with the baseline acoustic model. The model adaptation performance was cross-validated with the “Leave One Group Out” strategy. We observed major improvements in phoneme error rates after adaptation for the knowledge-based and data-driven phoneme mappings. The study confirmed the feasibility of transfer learning for acoustic model adaptation in the case of Upper Sorbian, at the same time demonstrating practical usability with a small vocabulary speech recognition application (Smart Lamp). Y1 - 2021 UR - https://publica.fraunhofer.de/dokumente/N-633297.html SN - 978-3-959082-27-3 SN - 0940-6832 SP - 43 EP - 50 PB - TUDpress CY - Dresden ER - TY - GEN A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Machine Learning for Anomaly Assessment in Sensor Networks for NDT in Aerospace T2 - IEEE Sensors Journal N2 - We investigated and compared various algorithms in machine learning for anomaly assessment with different feature analyses on ultrasonic signals recorded by sensor networks. The following methods were used and compared in anomaly detection modeling: hidden Markov models (HMM), support vector machines (SVM), isolation forest (IF), and reconstruction autoencoders (AEC). They were trained exclusively on sensor signals of the intact state of structures commonly used in various industries, like aerospace and automotive. The signals obtained on artificially introduced damage states were used for performance evaluation. Anomaly assessment was evaluated and compared using various classifiers and feature analysis methods. We introduced novel methodologies for two processes. The first was the dataset preparation with anomalies. The second was the detection and damage severity assessment utilizing the intact object state exclusively. The experiments proved that robust anomaly detection is practically feasible. We were able to train accurate classifiers which had a considerable safety margin. Precise quantitative analysis of damage severity will also be possible when calibration data become available during exploitation or by using expert knowledge. KW - Machine learning KW - Non-destructive testing KW - Ultrasonic transducers Y1 - 2021 UR - https://ieeexplore.ieee.org/document/9366491 U6 - https://doi.org/10.1109/JSEN.2021.3062941 SN - 1558-1748 VL - 21 IS - 9 SP - 11000 EP - 11008 ER - TY - GEN A1 - Kraljevski, Ivan A1 - Bissiri, Maria Paola A1 - Duckhorn, Frank A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Glottal Stops in Upper Sorbian: A Data-Driven Approach T2 - Proc. Interspeech 2021, 30 August – 3 September, 2021, Brno, Czechia N2 - We present a data-driven approach for the quantitative analysis of glottal stops before word-initial vowels in Upper Sorbian, a West Slavic minority language spoken in Germany. Glottal stops are word-boundary markers and their detection can improve the performance of automatic speech recognition and speech synthesis systems. We employed cross-language transfer using an acoustic model in German to develop a forced-alignment method for the phonetic segmentation of a read-speech corpus in Upper Sorbian. The missing phonemic units were created by combining the existing phoneme models. In the forced-alignment procedure, the glottal stops were considered optional in front of word-initial vowels. To investigate the influence of speaker type (males, females, and children) and vowel on the occurrence of glottal stops, binomial regression analysis with a generalized linear mixed model was performed. Results show that children glottalize word-initial vowels more frequently than adults, and that glottal stop occurrences are influenced by vowel quality. Y1 - 2021 UR - https://www.isca-speech.org/archive/interspeech_2021/kraljevski21_interspeech.html U6 - https://doi.org/10.21437/Interspeech.2021-1101 SP - 1001 EP - 1005 ER - TY - GEN A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Barth, Martin A1 - Tschöpe, Constanze A1 - Schubert, Frank A1 - Wolff, Matthias T1 - Autoencoder-based Ultrasonic NDT of Adhesive Bonds T2 - IEEE SENSORS 2021, Conference Proceedings, Oct 31- Nov 4, Sydney, Australia N2 - We present an approach for ultrasonic non-destructive testing of adhesive bonding employing unsupervised machine learning with autoencoders.The models are trained exclusively on the features derived from pulse-echo ultrasonic signals on a specimen with good adhesive bonding and tested on another specimen with artificially added defects.The resulting pseudo-probabilities indicating anomalies are visualized and presented along to the C-scan of the same specimen. As a result, we achieved improved representation of the defects, allowing their automatic and reliable detection. Y1 - 2021 SN - 978-1-7281-9501-8 U6 - https://doi.org/10.1109/SENSORS47087.2021.9639864 PB - IEEE ER - TY - GEN A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Convolutional Autoencoders for Health Indicators Extraction in Piezoelectric Sensors T2 - 2020 IEEE Sensors, 25-28 Oct. 2020, Rotterdam, Netherlands, N2 - We present a method for extracting health indicators from piezoelectric sensors applied in the case of microfluidic valves. Convolutional autoencoders were used to train a model on the normal operating conditions and tested on signals of different valves. The results of the model performance evaluation, as well as, the qualitative presentation of the indicator plots for each tested component, showed that the used approach is capable of detecting features that correspond to increasing component degradation. The extracted health indicators are the prerequisite and input for reliable remaining useful life prediction. Y1 - 2020 UR - https://ieeexplore.ieee.org/document/9323023 SN - 978-1-7281-6801-2 U6 - https://doi.org/10.1109/SENSORS47125.2020.9323023 SP - 1 EP - 4 CY - Rotterdam, Netherlands ER - TY - GEN A1 - Klimczak, Peter A1 - Kusche, Isabel A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Menschliche und maschinelle Entscheidungsrationalität - Zur Kontrolle und Akzeptanz Künstlicher Intelligenz T2 - Zeitschrift für Medienwissenschaft 21 - Künstliche Intelligenz Y1 - 2019 UR - https://mediarep.org/handle/doc/13542 SN - 978-3-8376-4468-5 U6 - https://doi.org//10.25969/mediarep/12631 SN - 1869-1722 SN - 2296-4126 IS - 2 SP - 39 EP - 45 ER - TY - CHAP A1 - Kraljevski, Ivan A1 - Tschöpe, Constanze A1 - Wolff, Matthias ED - Klimczak, Peter ED - Petersen, Christer T1 - Limits and Prospects of Big Data and Small Data Approaches in AI Applications T2 - AI - Limits and Prospects of Artificial Intelligence N2 - The renaissance of artificial intelligence (AI) in the last decade can be credited to several factors, but chief among these is the ever-increasing availability and miniaturization of computational resources. This process has contributed to the rise of ubiquitous computing via popularizing smart devices and the Internet of Things in everyday life. In turn, this has resulted in the generation of increasingly enormous amounts of data. The tech giants are harvesting and storing data on their clients’ behavior and, at the same time, introducing concerns about data privacy and protection. Suddenly, such an abundance of data and computing power, which was unimaginable a few decades ago, has caused a revival of old and the invention of new machine learning paradigms, like Deep Learning. Artificial intelligence has undergone a technological breakthrough in various fields, achieving better than human performance in many areas (such as vision, board games etc.). More complex tasks require more sophisticated algorithms that need more and more data. It has often been said that data is becoming a resource that is "more valuable than oil"; however, not all data is equally available and obtainable. Big data can be described by using the "four Vs"; data with immense velocity, volume, variety, and low veracity. In contrast, small data do not possess any of those qualities; they are limited in size and nature and are observed or produced in a controlled manner. Big data, along with powerful computing and storage resources, allow “black box” AI algorithms for various problems previously deemed unsolvable. One could create AI applications even without the underlying expert knowledge, assuming there are enough data and the right tools available (e.g. end-to-end speech recognition and generation, image and object recognition). There are numerous fields in science, industry and everyday life where AI has vast potential. However, due to the lack of big data, application is not straightforward or even possible. A good example is AI in medicine, where an AI system is intended to assist physicians in diagnosing and treating rare or previously never observed conditions, and there is no or an insufficient amount of data for reliable AI deployment. Both big and small data concepts have limitations and prospects for different fields of application. This paper will try to identify and present them by giving real-world examples in various AI fields. Y1 - 2023 UR - https://www.transcript-verlag.de/chunk_detail_seite.php?doi=10.14361%2F9783839457320-006 SN - 978-3-8376-5732-6 U6 - https://doi.org/10.14361/9783839457320-006 SP - 115 EP - 142 PB - transcript Verlag CY - Bielefeld ER - TY - GEN A1 - Uhlig, Sebastian A1 - Alkhasli, Ilkin A1 - Schubert, Frank A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - A Review of Synthetic and Augmented Training Data for Machine Learning in Ultrasonic Non-Destructive Evaluation T2 - Ultrasonics N2 - Ultrasonic Testing (UT) has seen increasing application of machine learning (ML) in recent years, promoting higher-level automation and decision-making in flaw detection and classification. Building a generalized training dataset to apply ML in non-destructive evaluation (NDE), and thus UT, is exceptionally difficult since data on pristine and representative flawed specimens are needed. Yet, in most UT test cases flawed specimen data is inherently rare making data coverage the leading problem when applying ML. Common data augmentation (DA) strategies offer limited solutions as they don’t increase the dataset variance, which can lead to overfitting of the training data. The virtual defect method and the recent application of generative adversarial neural networks (GANs) in UT are sophisticated DA methods targeting to solve this problem. On the other hand, well-established research in modeling ultrasonic wave propagations allows for the generation of synthetic UT training data. In this context, we present a first thematic review to summarize the progress of the last decades on synthetic and augmented UT training data in NDE. Additionally, an overview of methods for synthetic UT data generation and augmentation is presented. Among numerical methods such as finite element, finite difference, and elastodynamic finite integration methods, semi-analytical methods such as general point source synthesis, superposition of Gaussian beams, and the pencil method as well as other UT modeling software are presented and discussed. Likewise, existing DA methods for one- and multidimensional UT data, feature space augmentation, and GANs for augmentation are presented and discussed. The paper closes with an in-detail discussion of the advantages and limitations of existing methods for both synthetic UT training data generation and DA of UT data to aid the decision-making of the reader for the application to specific test cases. KW - Non-destructive testing KW - NDT KW - Non-destructive evaluation KW - NDE KW - Ultrasonic testing KW - Ultrasonics KW - Flaw detection KW - Machine learning KW - Artificial intelligence KW - Deep learning KW - Synthetic training data KW - Data augmentation Y1 - 2023 UR - https://www.sciencedirect.com/science/article/pii/S0041624X23001178 U6 - https://doi.org/10.1016/j.ultras.2023.107041 SN - 1874-9968 IS - 134 ER - TY - GEN A1 - Maier, Isidor Konrad A1 - Kuhn, Johannes Ferdinand Joachim A1 - Duckhorn, Frank A1 - Kraljevski, Ivan A1 - Sobe, Daniel A1 - Wolff, Matthias A1 - Tschöpe, Constanze T1 - Word Class Based Language Modeling: A Case of Upper Sorbian T2 - Proceedings of The Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference, Marseille, France N2 - In this paper we show how word class based language modeling can support the integration of a small language in modern applications of speech technology. The methods described in this paper can be applied for any language. We demonstrate the methods on Upper Sorbian. The word classes model the semantic expressions of numerals, date and time of day. The implementation of the created grammars was realized in the form of finite-state-transducers (FSTs) and minimalists grammars (MGs). We practically demonstrate the usage of the FSTs in a simple smart-home speech application, that is able to set wake-up alarms and appointments expressed in a variety of spontaneous and natural sentences. While the created MGs are not integrated in an application for practical use yet, they provide evidence that MGs could potentially work more efficient than FSTs in built-on applications. In particular, MGs can work with a significantly smaller lexicon size, since their more complex structure lets them generate more expressions with less items, while still avoiding wrong expressions. KW - word classes, minimalist grammar, language modeling, speech recognition, Upper Sorbian Y1 - 2022 UR - http://www.lrec-conf.org/proceedings/lrec2022/workshops/EURALI/pdf/2022.eurali-1.5.pdf SN - 978-2-493814-07-4 SP - 28 EP - 35 PB - European Language Resources Association ER - TY - GEN A1 - Kraljevski, Ivan A1 - Ju, Yong Chul A1 - Ivanov, Dmitrij A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - How to Do Machine Learning with Small Data? - A Review from an Industrial Perspective T2 - arXiv N2 - Artificial intelligence experienced a technological breakthrough in science, industry, and everyday life in the recent few decades. The advancements can be credited to the ever-increasing availability and miniaturization of computational resources that resulted in exponential data growth. However, because of the insufficient amount of data in some cases, employing machine learning in solving complex tasks is not straightforward or even possible. As a result, machine learning with small data experiences rising importance in data science and application in several fields. The authors focus on interpreting the general term of "small data" and their engineering and industrial application role. They give a brief overview of the most important industrial applications of machine learning and small data. Small data is defined in terms of various characteristics compared to big data, and a machine learning formalism was introduced. Five critical challenges of machine learning with small data in industrial applications are presented: unlabeled data, imbalanced data, missing data, insufficient data, and rare events. Based on those definitions, an overview of the considerations in domain representation and data acquisition is given along with a taxonomy of machine learning approaches in the context of small data. Y1 - 2023 UR - https://arxiv.org/abs/2311.07126 ER - TY - GEN A1 - Kraljevski, Ivan A1 - Duckhorn, Frank A1 - Tschöpe, Constanze A1 - Schubert, Frank A1 - Wolff, Matthias T1 - Paper Tissue Softness Rating by Acoustic Emission Analysis T2 - Applied Sciences N2 - Softness is one of the essential properties of hygiene tissue products. Reliably measuring it is of utmost importance to ensure the balance between customer expectations and cost-effective tissue production. This study presents a method for assessing softness by analyzing acoustic emissions produced while tearing a tissue specimen. The aim was to train neural network models using the corrected results of human panel tests as the ground truth labels and to predict the tissue softness in two- and three-class recognition tasks. We also investigate the possibility of predicting some production parameters related to the softness property. The results proved that tissue softness and production parameters could be reliably estimated only by the tearing noise. KW - acoustic emission KW - machine learning KW - tissue softness analysis Y1 - 2022 U6 - https://doi.org/10.3390/app13031670 SN - 2076-3417 VL - 13 IS - 3 ER - TY - GEN A1 - Ju, Yong Chul A1 - Kraljevski, Ivan A1 - Neunübel, Heiko A1 - Tschöpe, Constanze A1 - Wolff, Matthias T1 - Acoustic Resonance Testing of Small Data on Sintered Cogwheels T2 - Sensors N2 - Based on the fact that cogwheels are indispensable parts in manufacturing, we present the acoustic resonance testing (ART) of small data on sintered cogwheels for quality control in the context of non-destructive testing (NDT). Considering the lack of extensive studies on cogwheel data by means of ART in combination with machine learning (ML), we utilize time-frequency domain feature analysis and apply ML algorithms to the obtained feature sets in order to detect damaged samples in two ways: one-class and binary classification. In each case, despite small data, our approach delivers robust performance: All damaged test samples reflecting real-world scenarios are recognized in two one-class classifiers (also called detectors), and one intact test sample is misclassified in binary ones. This shows the usefulness of ML and time-frequency domain feature analysis in ART on a sintered cogwheel dataset. KW - acoustic resonance testing (ART) non-destructive testing (NDT) KW - deep learning KW - machine learning KW - small-data KW - non-destructive testing (NDT) Y1 - 2022 U6 - https://doi.org/10.3390/s22155814 SN - 1424-8220 VL - 22 IS - 15 ER - TY - GEN A1 - Maier, Isidor Konrad A1 - Kuhn, Johannes A1 - Duckhorn, Frank A1 - Kraljevski, Ivan A1 - Sobe, Daniel A1 - Wolff, Matthias A1 - Tschöpe, Constanze T1 - Word Class Based Language Modeling: A Case of Upper Sorbian, LREC 2022, Marseille T2 - Language Resources and Evaluation Conference 2022 (LREC 2022), Marseille, 2022-06-13 Y1 - 2022 U6 - https://doi.org/10.5281/zenodo.7501145 ER - TY - BOOK A1 - Wirsching, Günther A1 - Schmitt, Ingo A1 - Wolff, Matthias T1 - Quantenlogik, Band 1 : eine Einführung für Ingenieure und Informatiker N2 - Messungen an Quantenobjekten haben eine logische Struktur. Diese schließt die klassische Logik ein, geht jedoch weit darüber hinaus. Das wesentliche Ziel dieses Lehrbuchs ist es, die mathematischen Werkzeuge der Quantenlogik zu vermitteln und technische Anwendungsmöglichkeiten aufzuzeigen. Die dafür erforderlichen mathematischen Sachverhalte werden anhand von Beispielen so erläutert und motiviert, dass sie für angehende Ingenieure und Informatiker verständlich sind. Die vorliegende Auflage wurde korrigiert und um zahlreiche Anwendungen, zusätzliche Beispiele und Beweise erweitert sowie um ein neues Beispiel zur Mustererkennung ergänzt. KW - Projektive Geometrie KW - Lineare Algebra KW - Verbandstheorie KW - Information Retrieval KW - Kognitive Systeme KW - Künstliche Intelligenz KW - Vektor-symbolische Architekturen KW - Quantenmessung KW - Wahrscheinlichkeiten KW - Anfragesysteme KW - Informationskodierung KW - Quantenlogik KW - Logik KW - Mathematische Strukturen KW - Logik der Orthogonalprojektoren KW - Quantenregister KW - Quantenbit KW - Qubits KW - Fuzzy-Logik KW - Skalarproduktraum Y1 - 2025 UR - https://link.springer.com/book/10.1007/978-3-662-71335-8 SN - 978-3-662-71335-8 SN - 978-3-662-71334-1 U6 - https://doi.org/10.1007/978-3-662-71335-8 PB - Springer Vieweg CY - Berlin ; Heidelberg ET - 2. Auflage ER - TY - BOOK A1 - Wirsching, Günther A1 - Wolff, Matthias A1 - Schmitt, Ingo T1 - Quantenlogik : eine Einführung für Ingenieure und Informatiker N2 - Das wesentliche Ziel dieses Lehrbuchs ist es, die mathematischen Werkzeuge zur Modellierung kognitiver Strukturen und Prozesse auf der Grundlage der klassischen Logik und der Quantenlogik zu entwickeln. Die dafür erforderlichen mathematischen Sachverhalte werden so dargestellt und anhand von Beispielen motiviert, dass sie für angehende Ingenieure und Informatiker verständlich sind. - Kompakte logische Darstellung der mathematischen Werkzeuge zur Modellierung kognitiver Strukturen und Prozesse - Beispiele erläutern die Anwendung im Engineering Zielgruppen sind insbesondere Studierende der Ingenieurwissenschaften und der Informatik, aber auch Studierende der Mathematik oder der Physik können durch den anwendungsbezogenen Blick ihren Horizont erweitern. KW - Projektive Geometrie KW - Lineare Algebra KW - Verbandstheorie KW - Information Retrieval KW - Kognitive Systeme KW - Künstliche Intelligenz KW - vektor-symbolische Architekturen KW - Quantenmessung KW - Wahrscheinlichkeiten KW - Anfragesysteme KW - Informationskodierung Y1 - 2023 UR - https://link.springer.com/book/10.1007/978-3-662-66780-4 SN - 978-3-662-66779-8 SN - 978-3-662-66780-4 U6 - https://doi.org/10.1007/978-3-662-66780-4 PB - Springer Vieweg CY - Berlin ; Heidelberg ET - 1. Auflage ER - TY - GEN A1 - Römer, Ronald A1 - Huber-Liebl, Markus A1 - Wolff, Matthias T1 - Quantum-inspired representation and querying of semiotic object properties by cognitive agents T2 - 2025 IEEE 16th International Conference on Cognitive Infocommunications (CogInfoCom) N2 - Advanced intelligence often relies on the ability to build and use models. They allow the representation of knowledge, enable predictions, and serve to plan goal-directed actions. However, the successfull use of models requires a certain level of competence in interacting with models. This competence can be acquired by exploiting the separation of the cognitive agent from the objects represented in the model; because it allows the differentiation of individual semiotic levels. This includes the separation of self-sufficient and non self-sufficient object attributes. Non self-sufficient attributes that the agent assigned to potential target objects during the exploration phase form the starting point for the information requirement regarding the self-sufficient attributes of these objects. These attributes are required for target selection and the subsequent alignment of the model-based planning. This process is characterized by a series of queries to the environment model and thus shows a certain similarity to information retrieval (IR). Therefore, in this work we particularly investigate quantum-inspired IR-methods for representation and querying. We demonstrate that they are suitable for modelling cognitive effort and behavior, as they represent a realistic and universally applicable descriptive tool. KW - Information retrieval KW - Semiotics KW - Planning Y1 - 2025 SN - 979-8-3503-5691-5 U6 - https://doi.org/10.1109/CogInfoCom66819.2025.11200567 SP - 000129 EP - 000134 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Huber-Liebl, Markus A1 - Rosenow, Tillmann A1 - Römer, Ronald A1 - Wirsching, Günther A1 - Wolff, Matthias T1 - Knowledge representation and querying with tensors for a class of practical test problems T2 - Refereed Paper Proceedings - KM Conference 2025 – Siena, Italy N2 - We further promote the idea of quantum inspiration and propose to equip cognitive systems not only with tensors for data representation but also for operation representation and querying. We discuss ideas from information retrieval and translate them into our method of behavioral control. We formalize the method with tensor algebra and discuss its extensions to learning. At the example of the problem of 𝑁-dimensional aiming, we visualize the transfer of our stated theoretical foundation to a class of practical test problems. KW - Knowledge representation KW - Cognitive agents KW - Tensor algebra KW - Quantum inspiration Y1 - 2025 UR - https://www.iiakm.org/conference/proceedings/KM2025_RefereedProceedingsPapers.pdf SP - 111 EP - 123 PB - International Institute for Applied Knowledge Management ER - TY - GEN A1 - Schmitt, Ingo A1 - Sowoidnich, Kay A1 - Gosswami, Tapashi A1 - Sumpf, Bernd A1 - Maiwald, Martin A1 - Wolff, Matthias T1 - PCA-based peak feature selection for classification of spectroscopic datasets T2 - Journal of chemometrics N2 - Reducing feature dimensionality in spectroscopic data is crucial for efficient analysis and classification. Using all available features for classification typically results in an unacceptably high runtime and poor accuracy. Popular feature extraction methods, such as principal component analysis (PCA), linear discriminant analysis (LDA), and autoencoders, reduce feature dimensionality by extracting latent features that can be challenging to interpret. To enable better human interpretation of the classification model, we avoid extraction methods and instead propose applying feature selection methods. In this work, we develop an innovative PCA-based feature selection method for spectroscopic data, providing an essential subset of the original features. As an important advantage, no prior knowledge about the characteristic signals of the respective target substance is required. In this proof-of-concept study, the proposed method is initially characterized using simulated Raman and infrared absorption datasets. From the top five PCA eigenvectors of spectroscopic data, we identify a set of three top peaks each at specific wavenumbers (features). The compact set of selected features is then used for classification tasks applying a decision tree. Based on two well-defined spectroscopic datasets, our study demonstrates that our new method of PCA-based peak finding outperforms selected other approaches with regard to interpretability and accuracy. For both investigated datasets, accuracies greater than 97% are achieved. Our approach shows large potential for accurate classification combined with interpretability in further scenarios involving spectroscopic datasets. KW - Cclassification KW - Decision tree KW - Peak finding KW - Principal component analysis KW - Spectroscopic data Y1 - 2025 U6 - https://doi.org/10.1002/cem.70074 SN - 0886-9383 SN - 1099-128X VL - 39 IS - 11 SP - 1 EP - 14 PB - John Wiley & Sons Ltd. CY - New York, NY ER -