TY - CHAP A1 - Hoffmann, Rüdiger A1 - Wolff, Matthias T1 - Towards hierarchical cognitive systems for intelligent signal processing T2 - ICT Innovations 2012, Secure and Intelligent Systems, Ohrid, Macedonia, Sep. 2012, WEB proceedings Y1 - 2012 SN - 1857-7288 SP - 613 EP - 618 PB - ICT ACT 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 - CHAP A1 - Fellbaum, Klaus A1 - Hoffmann, Rüdiger ED - Hoffmann, Rüdiger T1 - 20 Jahre Sprachsignalverarbeitung im Spiegel einer Konferenz T2 - Elektronische Sprachsignalverarbeitung 2009, Tagungsband der 20. Konferenz, Dresden, 21. bis 23. September 2009, Band 1 Y1 - 2009 SN - 978-3-941298-31-6 SP - 248 EP - 253 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Fellbaum, Klaus T1 - Übersichtsvortrag: Einsatz der Sprachtechnologie für behinderte und ältere Menschen Y1 - 2008 ER - TY - VIDEO A1 - Maier, Isidor Konrad T1 - A Decomposition Algorithm for Numerals based on Arithmetics N2 - Presentation of a Numeral Decomposition Algorithm. KW - Numeral Decomposition, Machine Learning, Reinforcement Learning Y1 - 2022 UR - https://zenodo.org/record/7501280 U6 - https://doi.org/10.5281/zenodo.7501280 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 - 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 - CHAP A1 - Hampicke, Maik T1 - Zum Einsatz und Nutzen elektronischer Sprachkomponenten im Wohnbereich für die Zielgruppe der älteren Menschen Y1 - 2004 ER - TY - CHAP A1 - Kraljevski, Ivan A1 - Strecha, Guntram A1 - Wolff, Matthias A1 - Jokisch, Oliver A1 - Hoffmann, Rüdiger T1 - Using unified automatic speech recognition and synthesis system for cross-language acoustic modeling T2 - Proceedings Digitalna Obrada Govora I Slike (DOGS 2012) Y1 - 2012 SN - 978-86-7892-439-2 SP - 4 EP - 11 CY - Kovacica, Serbia 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 - CHAP A1 - Duckhorn, Frank A1 - Strecha, Guntram A1 - Wolff, Matthias A1 - Hoffmann, Rüdiger T1 - Entwicklung und Performance eines Sprachdialogsystems mit begrenzten Hardwareressourcen Y1 - 2010 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 - 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 - 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 - THES A1 - Lindemann, Jens T1 - Interpretation und Artikulation mit Äußerungs-Bedeutungs-Transduktoren N2 - In der vorliegenden Arbeit wird die Verwendung von endlichen Transduktoren zur bidirektionalen Übersetzung zwischen der syntaktischen und semantischen Ebene eines natürlichsprachlichen Dialogsystems untersucht. Zur Bedeutungsrepräsentation werden Merkmal-Werte-Relationen verwendet. Solche beschrifteten partiellen Ordnungen ermöglichen eine hierarchische Strukturierung von semantischen Begriffen und können durch gerichtete azyklische Graphen dargestellt werden. Auf Grundlage eines bedeutungsorientierten Sprachmodells wird eine mögliche Vorgehensweise zur Modellierung von Äußerungs-Bedeutungs-Transduktoren vorgestellt. Voraussetzung dafür ist eine Sprachdatensammlung, welche zum Beispiel mit Hilfe von Wizard-of-Oz Experimenten erstellt werden kann. Für die eigenen Untersuchungen wurden Transduktoren zu Sprachäußerungen der deutschen Lautsprache und der Deutschen Gebärdensprache konstruiert. Diese semantischen Grammatiken werden sowohl für die Interpretation als auch für die Artikulation eingesetzt. Auf der Perzeptionsseite ist somit die automatische Generierung von semantischen Zeichenketten zu einem gegebenen Worthypothesegraphen realisierbar. Durch die Klammerstruktur der semantischen Zeichenketten kann die dazugehörige Merkmal-Werte-Relation erzeugt werden. Diese Bedeutungsrepräsentation wird in der Beispielanwendung unter Verwendung des inversen Äußerungs-Bedeutungs-Transduktors direkt wieder artikuliert. Zuvor ist jedoch eine Linearisierung der Merkmal-Werte-Relation notwendig. Als Ergebnis dieser beiden Übersetzungsprozesse erhält man eine sinngemäße Wiedergabe zu der gegebenen Sprachzeichenfolge. Durch die Verwendung sprachabhängiger semantischer Grammatiken ist zudem auch eine bedeutungsorientierte Übersetzung des erkannten sprachlichen Ausdrucks realisierbar. Zusätzlich wurde auch ein aktuelles Verfahren zur semantischen Dekodierung mit endlichen Transduktoren umgesetzt, welches ein konzeptuelles stochastisches Sprachmodell nutzt. Damit ist eine vergleichende Bewertung dieser beiden Vorgehensweisen zur semantischen Interpretation möglich. Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-opus4-38910 UR - https://opus4.kobv.de/opus4-btu/frontdoor/index/index/docId/3891 N1 - Veröffentlichung erfolgte nur im Digitalen Repositorium 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 - CHAP A1 - Ketzmerick, Bettina ED - Hess, Wolfgang ED - Stöber, Karlheinz T1 - Stimmklang und Sprechtempo als charakteristische Merkmale von Stimmen T2 - Elektronische Sprachsignalverarbeitung, Tagungsband der zwölften Konferenz, Bonn, 24. bis 26. September 2001 Y1 - 2001 SN - 3-935712-62-6 SP - 306 EP - 314 PB - w.e.b. CY - Dresden ER - TY - CHAP A1 - Pritsch, Marcus ED - Hess, Wolfgang ED - Stöber, Karlheinz T1 - Visuelle Sprechhilfen für Hörbehinderte T2 - Elektronische Sprachsignalverarbeitung, Tagungsband der zwölften Konferenz, Bonn, 24. bis 26. September 2001 Y1 - 2001 SN - 3-935712-62-6 SP - 131 EP - 135 PB - w.e.b. CY - Dresden ER - TY - CHAP A1 - Pritsch, Marcus T1 - Visuelle Kommunikationshilfen für Gehörlose Y1 - 2001 ER - TY - GEN A1 - Fellbaum, Klaus A1 - Hampicke, Maik A1 - Ketzmerick, Bettina A1 - Pritsch, Marcus T1 - Elektronische Sprachverarbeitung - Technik und Anwendungen T2 - Forum der Forschung Y1 - 2001 SN - 0947-6989 VL - 13 IS - 6 SP - 61 EP - 70 ER - TY - GEN A1 - Fellbaum, Klaus A1 - Hampicke, Maik T1 - Einsatz von Smart-Home-Technologie im Wohnbereich von Senioren T2 - Bussysteme Y1 - 2001 VL - 8 IS - 4 SP - 216 EP - 217 ER - TY - GEN A1 - Fellbaum, Klaus A1 - Hampicke, Maik T1 - Smart Home- Wohnung mit "Köpfchen" T2 - Magazin Y1 - 2001 IS - 5 SP - 96 EP - 99 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 - CHAP A1 - Sonnberger, Julia A1 - Fellbaum, Klaus T1 - Didaktische Aspekte der Notebook-University Cottbus - Präsenzlehre und Ergänzungsmöglichkeiten durch hybride Lernszenarien Y1 - 2004 ER - TY - GEN T1 - Elektronische Sprachsignalverarbeitung : Tagungsband der 15. Konferenz, Cottbus, 20. bis 22. September 2004 N2 - Studientexte zur Sprachkommunikation ; 30 Y1 - 2004 SN - 3-937672-65-5 PB - w.e.b. Univ.-Verl. CY - Dresden ER - TY - CHAP A1 - Fellbaum, Klaus A1 - Hampicke, Maik T1 - Technik und Nutzen des Smart-Home Y1 - 2004 ER - TY - CHAP A1 - Fellbaum, Klaus T1 - Technik und Anwendungen der elektronischen Sprachsignalverarbeitung Y1 - 2004 ER - TY - CHAP A1 - Ketzmerick, Bettina A1 - Fellbaum, Klaus T1 - Anwendungsaspekte der akustischen Komponenten in der Multimedia-Kommunikation Y1 - 2004 ER - TY - CHAP A1 - Fellbaum, Klaus A1 - Ketzmerick, Bettina A1 - Höpfner, Dirk ED - Schwill, Andreas T1 - Zur Bedeutung akustischer Informationen bei multimedialen Präsentationen T2 - Grundfragen multimedialer Lehre, Tagungsband des 1. Workshops GML 2003, 10. - 11. März 2003 an der Universität Potsdam Y1 - 2003 SN - 3-8330-0761-3 PB - Univ, Lehrstuhl für Didaktik der Informatik CY - Potsdam ER - TY - CHAP A1 - Fellbaum, Klaus A1 - Höpfner, Dirk A1 - Richter, Christian T1 - Auditive Verfahren zur Sprachqualitätsmessung - Übersicht, Gestaltung und Anwendung Y1 - 2003 ER - TY - GEN A1 - Blutner, Reinhard A1 - Beim Graben, Peter T1 - Gauge models of musical forces T2 - Journal of Mathematics and Music N2 - Metaphors involving motion and forces are a source of inspiration for understanding tonal music and tonal harmonies since ancient times. Starting with the rise of quantum cognition, the modern interactional conception of forces as developed in gauge theory has recently entered the field of theoretical musicology. We develop a gauge model of tonal attraction based on SU(2) symmetry. This model comprises two earlier attempts, the phase model grounded on U(1) gauge symmetry, and the spatial deformation model derived from SO(2) gauge symmetry. In the neutral, force-free case both submodels agree and generate the same predictions as a simple qubit approach. However, there are several differences in the force-driven case. It is claimed that the deformation model gives a proper description of static tonal attraction. The full model combines the deformation model with the phase model through SU(2) gauge symmetry and unifies static and dynamic tonal attraction. KW - Music psychology KW - tonal attraction KW - mathematics KW - gauge theory Y1 - 2021 U6 - https://doi.org/10.1080/17459737.2020.1716404 SN - 1745-9745 VL - 15 IS - 1 SP - 17 EP - 36 ER - TY - GEN A1 - Beim Graben, Peter A1 - Mannone, Maria T1 - Musical pitch quantization as an eigenvalue problem T2 - Journal of Mathematics and Music N2 - How can discrete pitches and chords emerge from the continuum of sound? Using a quantum cognition model of tonal music, we prove that the associated Schrödinger equation in Fourier space is invariant under continuous pitch transpositions. However, this symmetry is broken in the case of transpositions of chords, entailing a discrete cyclic group as transposition symmetry. Our research relates quantum mechanics with music and is consistent with music theory and seminal insights by Hermann von Helmholtz. Y1 - 2020 U6 - https://doi.org/10.1080/17459737.2020.1763488 SN - 1745-9745 SP - 1 EP - 18 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 - CHAP A1 - Richter, Christian ED - Hentschel, Christian T1 - Internetbasierte auditive Testverfahren T2 - Sprachsignalverarbeitung : Analyse und Anwendungen ; zum 65. Geburtstag von Klaus Fellbaum Y1 - 2007 SN - 978-3-940046-02-4 SP - 113 EP - 120 PB - TUDpress CY - Dresden ER - TY - CHAP A1 - Ketzmerick, Bettina ED - Hentschel, Christian T1 - Einflussgrößen und signifikante Parameter menschlicher Stimmen T2 - Sprachsignalverarbeitung : Analyse und Anwendungen ; zum 65. Geburtstag von Klaus Fellbaum Y1 - 2007 SN - 978-3-940046-02-4 SP - 129 EP - 139 PB - TUDpress CY - Dresden ER - TY - THES A1 - Ketzmerick, Bettina T1 - Zur auditiven und apparativen Charakterisierung von Stimmen Y1 - 2008 SN - 978-3-940046-47-5 PB - TUDpress CY - Dresden 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 - Beim Graben, Peter A1 - Jimenez-Marin, Antonio A1 - Diez, Ibai A1 - Cortes, Jesus A1 - Desroches, Mathieu A1 - Rodrigues, Serafim T1 - Metastable resting state brain dynamics T2 - Frontiers in Computational Neuroscience N2 - Metastability refers to the fact that the state of a dynamical system spends a large amount of time in a restricted region of its available phase space before a transition takes place, bringing the system into another state from where it might recur into the previous one. beim Graben and Hutt (2013) suggested to use the recurrence plot (RP) technique introduced by Eckmann et al. (1987) for the segmentation of system's trajectories into metastable states using recurrence grammars. Here, we apply this recurrence structure analysis (RSA) for the first time to resting-state brain dynamics obtained from functional magnetic resonance imaging (fMRI). Brain regions are defined according to the brain hierarchical atlas (BHA) developed by Diez et al. (2015), and as a consequence, regions present high-connectivity in both structure (obtained from diffusion tensor imaging) and function (from the blood-level dependent-oxygenation—BOLD—signal). Remarkably, regions observed by Diez et al. were completely time-invariant. Here, in order to compare this static picture with the metastable systems dynamics obtained from the RSA segmentation, we determine the number of metastable states as a measure of complexity for all subjects and for region numbers varying from 3 to 100. We find RSA convergence toward an optimal segmentation of 40 metastable states for normalized BOLD signals, averaged over BHA modules. Next, we build a bistable dynamics at population level by pooling 30 subjects after Hausdorff clustering. In link with this finding, we reflect on the different modeling frameworks that can allow for such scenarios: heteroclinic dynamics, dynamics with riddled basins of attraction, multiple-timescale dynamics. Finally, we characterize the metastable states both functionally and structurally, using templates for resting state networks (RSNs) and the automated anatomical labeling (AAL) atlas, respectively. KW - resting state KW - recurrence structure analysis KW - metastability KW - BOLD fMRI KW - diffusion tensor imaging KW - brain hierarchical atlas Y1 - 2019 UR - https://www.frontiersin.org/articles/10.3389/fncom.2019.00062/full U6 - https://doi.org/10.3389/fncom.2019.00062 VL - 13 ER - TY - CHAP A1 - Fellbaum, Klaus A1 - Höpfner, Dirk A1 - Hampicke, Maik ED - Roe, Patrick R. W. T1 - Classification of Communication Terms and Services T2 - Bridging the GAP? : Access to telecommunications for all people Y1 - 2001 SP - 221 EP - 252 PB - Commission of European Communities CY - Lausanne ER - TY - BOOK A1 - Hoffmann, Rüdiger A1 - Wolff, Matthias T1 - Intelligente Signalverarbeitung 2 N2 - Die automatische Auswertung von Signalen spielt in der modernen Informationstechnik eine große Rolle. Dieses Lehrbuch bietet, ausgehend von der Repräsentation des Signals im Merkmalraum, die Beschreibung wichtiger Klassifikationsverfahren. Dazu zählen Linear- und Bayes Klassifikatoren, Supportvektormaschinen, Klassifikatoren auf der Basis von Gaussian-Mixture-Modellen und Hidden-Markov-Modellen sowie Klassenfolgenklassifikatoren.Weiterhin werden wichtige Grundlagen der Automatentheorie (Finite State Machines) sowie ausgewählte maschinelle Lernverfahren dargestellt.Die Darstellung setzt die Verfahren zur Merkmalgewinnung voraus, die im ersten Band vermittelt wurden, so dass das Gesamtwerk eine umfassende Beschreibung der Kette darstellt, die in modernen Systemen der Informationsverarbeitung von der Signalerfassung bis hin zum Klassifikationsergebnis führt. Y1 - 2015 SN - 978-3-662-46725-1 SN - 978-3-662-46726-8 U6 - https://doi.org/10.1007/978-3-662-46726-8 PB - Springer Vieweg CY - Berlin [u.a.] ET - 2. Auflage ER - TY - GEN A1 - Beim Graben, Peter A1 - Blutner, Reinhard T1 - Quantum approaches to music cognition T2 - Journal of Mathematical Psychology N2 - Quantum cognition emerged as an important discipline of mathematical psychology during the last two decades. Using abstract analogies between mental phenomena and the formal framework of physical quantum theory, quantum cognition demonstrated its ability to resolve several puzzles from cognitive psychology. Until now, quantum cognition essentially exploited ideas from projective (Hilbert space) geometry, such as quantum probability or quantum similarity. However, many powerful tools provided by physical quantum theory, e.g., symmetry groups have not been utilized in the field of quantum cognition research sofar. Inspired by seminal work by Guerino Mazzola on the symmetries of tonal music, our study aims at elucidating and reconciling static and dynamic tonal attraction phenomena in music psychology within the quantum cognition framework. Based on the fundamental principles of octave equivalence, fifth similarity and transposition symmetry of tonal music that are reflected by the structure of the circle of fifths, we develop different wave function descriptions over this underlying tonal space. We present quantum models for static and dynamic tonal attraction and compare them with traditional computational models in musicology. Our approach replicates and also improves predictions based on symbolic models of music perception. KW - Music psychology KW - Tonal attraction KW - Quantum cognition KW - Tonal space Y1 - 2019 U6 - https://doi.org/10.1016/j.jmp.2019.03.002 SN - 0022-2496 VL - 91 SP - 38 EP - 50 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 - Werner, Steffen A1 - Eichner, Matthias A1 - Wolff, Matthias A1 - Hoffmann, Rüdiger T1 - Towards spontaneous speech synthesis - Utilizing language model information in TTS T2 - IEEE transactions on speech and audio processing Y1 - 2004 U6 - https://doi.org/10.1109/TSA.2004.828635 SN - 1063-6676 VL - 12 IS - 4 SP - 436 EP - 445 ER - TY - JOUR A1 - Fellbaum, Klaus T1 - Electronic speech processing for persons with disabilities Y1 - 2008 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 - GEN A1 - Duckhorn, Frank A1 - Wolff, Matthias A1 - Hoffmann, Rüdiger T1 - A new Epsilon Filter for Efficient Composition of Weighted Finite-State Transducers T2 - Interspeech 2011, 12th annual conference of the International Speech Communication Association 2011, Florence, Italy, 27 - 31 August 2011 Y1 - 2011 UR - https://www.isca-speech.org/archive/archive_papers/interspeech_2011/i11_0897.pdf SP - 897 EP - 900 PB - ISCA ER - TY - THES A1 - Wersenyi, György T1 - HRTFs in human localization: Measurement, spectral evaluation and practical use in virtual audio environment KW - HRTF KW - Localisation KW - GUIB KW - Acoustic KW - Measurement KW - Binaural KW - Dummyhead KW - Hearing KW - Virtual KW - Headphone KW - Psychoacoustic KW - Information Y1 - 2002 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-000000234 PB - Brandenburgische Techn. Univ. CY - Cottbus ER - TY - THES A1 - Marí Hilario, Joan T1 - Discriminative Connectionist Approaches for Automatic Speech Recognition in Cars KW - Speech recognition KW - Noise robustness KW - Evalution KW - AURORA KW - Connectionist KW - Neural net KW - Non-linear feature reduction KW - Multi-Stream Y1 - 2004 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-000000649 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 - 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 -