@inproceedings{ZaehRiedhammerBockletetal.2010, author = {Z{\"a}h, Uwe and Riedhammer, Korbinian and Bocklet, Tobias and N{\"o}th, Elmar}, title = {Clap Your Hands! Calibrating Spectral Subtraction for Dereverberation}, series = {2010 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), Dallas, TX, USA, March 2010.}, booktitle = {2010 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), Dallas, TX, USA, March 2010.}, pages = {4226 -- 4229}, year = {2010}, abstract = {Reverberation effects as observed by room microphones severely degrade the performance of automatic speech recognition systems. We investigate the use of dereverberation by spectral subtraction as proposed by Lebart and Boucher and introduce a simple approach to estimate the required decay parameter by clapping hands. Experiments on small vocabulary continuous speech recognition task on read speech show that using the calibrated dereverberation improves WER from 73.2 to 54.7 for the best microphone. In combination with system adaptation, the WER could be reduced to 28.2, which is only a 16\% relative loss of performance comparison to using a headset instead of a room microphone.}, language = {en} } @inproceedings{ZscheileAuerLangetal.2023, author = {Zscheile, Matthias and Auer, Veronika and Lang, Tobias and Wojaczek, Adrian and Werndl, Peter}, title = {Dimensionserhaltende Altholznutzung - L{\"o}sungsansatz auch oder gerade f{\"u}r die Holzverpacker?}, series = {VERPACKERTAGE 2023 - Der Zuschnitt im Fokus}, booktitle = {VERPACKERTAGE 2023 - Der Zuschnitt im Fokus}, year = {2023}, language = {de} } @article{Zscheile2020, author = {Zscheile, Matthias}, title = {Holz statt Braunkohle}, series = {UmweltMagazin}, volume = {50}, journal = {UmweltMagazin}, number = {10-11}, publisher = {VDI Fachmedien GmbH \& Co. KG}, pages = {28 -- 29}, year = {2020}, abstract = {Der BioEconomy Cluster in Halle (Saale) treibt seit 2012 den Strukturwandel in der Wirtschaftsregion S{\"u}dliches Sachsen-Anhalt voran. Ziel ist, dort und in angrenzenden Gebieten des mitteldeutschen Braunkohlereviers eine holzbasierte Bio{\"o}konomie voranzutreiben.}, language = {de} } @article{Zscheile2020, author = {Zscheile, Matthias}, title = {Holz statt Braunkohle}, series = {UmweltMagazin}, volume = {50}, journal = {UmweltMagazin}, number = {10-11}, year = {2020}, language = {de} } @techreport{ZscheileAuerGilly2016, author = {Zscheile, Mathias and Auer, Veronika and Gilly, Alexander}, title = {BioXfrac: Machbarkeitsstudie zur dezentralen Biomassekonversion durch Kombination innovativer thermo-mechanischer und biochemischer Technologien zur Gewinnung von fermentierbaren Zuckern und BioEnergie.}, year = {2016}, abstract = {Ziel des Vorhabens war Pr{\"u}fung die Untersuchung der technischen und wirtschaftlichen Machbarkeit einer dezentralen Prozesskette zur nachhaltigen Bereitstellung von hochwertigen Grundstoffen aus bislang schwer nutzbarer Non-Food-Biomasse zur stofflichen Nutzung. Die Untersuchung erfolgt mittels der Weiterentwicklung einer mechanischen Aufschluss- und Fraktionierungstechnologie mit anschließender biochemischer Konversion. Insgesamt fanden 14 verschiedene Versuchsl{\"a}ufe innerhalb der Projektlaufzeit statt. In allen Ausgangsmaterialien konnten Zuckerbestandteile mit der enzymatischen Hydrolyse nachgewiesen werden. Somit konnte die technische Machbarkeit bewiesen werden. Nach dem Prinzip einer integrierten Nutzungskaskade wurden die einzelnen Komponenten miteinander verbunden. Die wirtschaftliche Machbarkeit war jedoch nur gegeben, da die Erl{\"o}se aus der Biogasanlage die Verluste in der enzymatischen Hydrolyse ausglichen. Die enzymatische Hydrolyse h{\"a}tte f{\"u}r eine eigene Wirtschaftlichkeit h{\"o}here Zuckerausbeuten erzielen m{\"u}ssen. Dies konnte auch unter Verwendung verschiedener zus{\"a}tzlicher Maßnahmen f{\"u}r keinen der Eingangsstoffe reproduzierbar bewiesen werden. Aus diesem Grund untersucht ein Teil des Konsortiums die wirtschaftliche Machbarkeit einer alternativen Aufschlusstechnologie im Anschluss an das Projekt weiter.}, language = {de} } @article{ZobelDenzlerHeigletal.2003, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {MOBSY: Integration of vision and dialogue in service robots}, series = {Machine Vision and Applications}, journal = {Machine Vision and Applications}, year = {2003}, abstract = {This contribution introduces MOBSY, a fully integrated, autonomous mobile service robot system. It acts as an automatic dialogue-based receptionist for visitors to our institute. MOBSY incorporates many techniques from different research areas into one working stand-alone system. The techniques involved range from computer vision over speech understanding to classical robotics. Along with the two main aspects of vision and speech, we also focus on the integration aspect, both on the methodological and on the technical level. We describe the task and the techniques involved. Finally, we discuss the experiences that we gained with MOBSY during a live performance at our institute.}, language = {en} } @article{ZobelDenzlerHeigletal.2001, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {Demonstration von Bildverarbeitung und Sprachverstehen in der Dienstleistungsrobotik}, series = {Autonome Mobile Systeme}, journal = {Autonome Mobile Systeme}, year = {2001}, abstract = {Die typischerweise gew{\"u}nschten Einsatzgebiete f{\"u}r Dienstleistungsroboter, z. B. Krankenh{\"a}user oder Seniorenheime, stellen sehr hohe Anforderungen an die Mensch-Maschine-Schnittstelle. Diese Erfordernisse gehen im Allgemeinen {\"u}ber die M{\"o}glichkeiten der Standardsensoren, wie Ultraschalloder Infrarotsensoren, hinaus. Es m{\"u}ssen daher erg{\"a}nzende Verfahren zum Einsatz kommen. Aus der Sicht der Mustererkennung sind die Nutzung des Rechnersehens und des nat{\"u}rlichsprachlichen Dialogs von besonderem Interesse. Dieser Beitrag stellt das mobile System MOBS Y vor. MOBS Y ist ein vollkommen integrierter autonomer mobiler Dienstleistungsroboter. Er dient als ein automatischer dialogbasierter Empfangsservice f{\"u}r Besucher unseres Instituts. MOBSY vereinigt vielf{\"a}ltige Methoden aus unterschiedlichsten Forschungsgebieten in einem eigenst{\"a}ndigen System. Die zum Einsatz kommenden Methoden aus dem Bereich der Bildverarbeitung reichen dabei von Objektklassifikation {\"u}ber visuelle Selbstlokalisierung und Rekalibrierung bis hin zu multiokularer Objektverfolgung. Die Dialogkomponente umfasst Methoden der Spracherkennung, des Sprachverstehens und die Generierung von Antworten. Im Beitrag werden die zu erf{\"u}llende Aufgabe und die einzelnen Verfahren dargestellt.}, language = {de} } @inproceedings{ZobelDenzlerHeigletal.2001, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {MOBSY: Integration of vision and dialogue in service robots}, series = {Computer Vision Systems, Proceedings Second International Workshop, ICVS 2001, Vancouver, Canada}, booktitle = {Computer Vision Systems, Proceedings Second International Workshop, ICVS 2001, Vancouver, Canada}, year = {2001}, abstract = {MOBSY is a fully integrated autonomous mobile service robot system. It acts as an automatic dialogue based receptionist for visitors of our institute. MOBSY incorporates many techniques from different research areas into one working stand-alone system. Especially the computer vision and dialogue aspects are of main interest from the pattern recognition's point of view. To summarize shortly, the involved techniques range from object classification over visual self-localization and recalibration to object tracking with multiple cameras. A dialogue component has to deal with speech recognition, understanding and answer generation. Further techniques needed are navigation, obstacle avoidance, and mechanisms to provide fault tolerant behavior. This contribution introduces our mobile system MOBSY. Among the main aspects vision and speech, we focus also on the integration aspect, both on the methodological and on the technical level. We describe the task and the involved techniques. Finally, we discuss the experiences that we gained with MOBSY during a live performance at the 25th anniversary of our institute}, language = {en} } @inproceedings{ZinsslerSchmidtNiemann2005, author = {Zinßler, T. and Schmidt, Jochen and Niemann, H.}, title = {Point Set Registration with Integrated Scale Estimation}, series = {Proceedings of the Eighth International Conference on Pattern Recognition and Image Processing (PRIP 2005), pages 116-119, Minsk, Republic of Belarus}, booktitle = {Proceedings of the Eighth International Conference on Pattern Recognition and Image Processing (PRIP 2005), pages 116-119, Minsk, Republic of Belarus}, year = {2005}, abstract = {Wepresentaniterativeregistrationalgorithmfor aligning two differently scaled 3-D point sets. It extends the popular Iterative Closest Point (ICP) algorithm by estimating a scale factor between the two point sets in every iteration. The presented algorithm is especially useful for the registration of point sets generated by structure-frommotion algorithms, which only reconstruct the 3-D structure of a scene upto scale. LiketheoriginalICPalgorithm,thepresentedalgorithm requires a rough pre-alignment of the point sets. In order to determine the necessary accuracy of the pre-alignment, wehaveexperimentallyevaluatedthebasinofconvergence of the algorithm with respect to the initial rotation, translation, andscale factor between the two point sets.}, language = {en} } @inproceedings{ZinsserSchmidtNiemann2003, author = {Zinßer, T. and Schmidt, Jochen and Niemann, H.}, title = {Performance Analysis of Nearest Neighbor Algorithms for ICP Registration of 3-D Point Sets}, series = {Vision, Modeling, and Visualization 2003}, booktitle = {Vision, Modeling, and Visualization 2003}, year = {2003}, abstract = {There are many nearest neighbor algorithms tailor made for ICP,but most of them require Special input data like range Images or triangle meshes. We focus on efficient nearest neighbor algorithms that do not impose this limitation, and thus can also be used with 3-D point sets generated by structure-frommotion techniques. We shortly present the evaluated algorithms and introduce the modifications we made to improve their efficiency. In particular, several enhancements to the well-known k-D tree algorithm are described. The first part of our Performance Analysis consists of Experiments on synthetic point sets, whereas the second part features experiments with the ICP algorithm on real point sets. Both parts are completed by a thorough evaluation of the obtained results.}, language = {en} }