[{"abstract":[{"text":"In this paper a switching linear dynamical model (SLDM) approach for speech feature enhancement is improved by employing more accurate models for the dynamics of speech and noise. The model of the clean speech feature trajectory is improved by augmenting the state vector to capture information derived from the delta features. Further a hidden noise state variable is introduced to obtain a more elaborated model for the noise dynamics. Approximate Bayesian inference in the SLDM is carried out by a bank of extended Kalman filters, whose outputs are combined according to the a posteriori probability of the individual state models. Experimental results on the AURORA2 database show improved recognition accuracy.","lang":"eng"}],"status":"public","publication":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)","type":"conference","keyword":["a posteriori probability","AURORA2 database","Bayesian inference","Bayes methods","channel bank filters","extended Kalman filter banks","hidden noise state variable","Kalman filters","noise dynamics","speech enhancement","speech feature enhancement","speech feature trajectory","switching linear dynamical model approach"],"language":[{"iso":"eng"}],"_id":"11939","department":[{"_id":"54"}],"user_id":"44006","year":"2008","page":"4409-4412","citation":{"short":"S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 4409–4412.","mla":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Modeling the Dynamics of Speech and Noise for Speech Feature Enhancement in ASR.” <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)</i>, 2008, pp. 4409–12, doi:<a href=\"https://doi.org/10.1109/ICASSP.2008.4518633\">10.1109/ICASSP.2008.4518633</a>.","bibtex":"@inproceedings{Windmann_Haeb-Umbach_2008, title={Modeling the dynamics of speech and noise for speech feature enhancement in ASR}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2008.4518633\">10.1109/ICASSP.2008.4518633</a>}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)}, author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2008}, pages={4409–4412} }","apa":"Windmann, S., &#38; Haeb-Umbach, R. (2008). Modeling the dynamics of speech and noise for speech feature enhancement in ASR. In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)</i> (pp. 4409–4412). <a href=\"https://doi.org/10.1109/ICASSP.2008.4518633\">https://doi.org/10.1109/ICASSP.2008.4518633</a>","chicago":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Modeling the Dynamics of Speech and Noise for Speech Feature Enhancement in ASR.” In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)</i>, 4409–12, 2008. <a href=\"https://doi.org/10.1109/ICASSP.2008.4518633\">https://doi.org/10.1109/ICASSP.2008.4518633</a>.","ieee":"S. Windmann and R. Haeb-Umbach, “Modeling the dynamics of speech and noise for speech feature enhancement in ASR,” in <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)</i>, 2008, pp. 4409–4412.","ama":"Windmann S, Haeb-Umbach R. Modeling the dynamics of speech and noise for speech feature enhancement in ASR. In: <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008)</i>. ; 2008:4409-4412. doi:<a href=\"https://doi.org/10.1109/ICASSP.2008.4518633\">10.1109/ICASSP.2008.4518633</a>"},"title":"Modeling the dynamics of speech and noise for speech feature enhancement in ASR","doi":"10.1109/ICASSP.2008.4518633","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2008/WiHa08-1.pdf","open_access":"1"}],"oa":"1","date_updated":"2022-01-06T06:51:12Z","date_created":"2019-07-12T05:31:11Z","author":[{"last_name":"Windmann","full_name":"Windmann, Stefan","first_name":"Stefan"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}]},{"date_updated":"2026-02-17T16:13:21Z","author":[{"last_name":"Schweitzer","full_name":"Schweitzer, Annika","first_name":"Annika"},{"full_name":"Gutmann, Torsten","id":"118165","last_name":"Gutmann","first_name":"Torsten"},{"full_name":"Wächtler, Maria","last_name":"Wächtler","first_name":"Maria"},{"first_name":"Hergen","last_name":"Breitzke","full_name":"Breitzke, Hergen"},{"last_name":"Buchholz","full_name":"Buchholz, Axel","first_name":"Axel"},{"first_name":"Winfried","last_name":"Plass","full_name":"Plass, Winfried"},{"last_name":"Buntkowsky","full_name":"Buntkowsky, Gerd","first_name":"Gerd"}],"date_created":"2026-02-07T16:10:01Z","volume":34,"title":"51V solid-state NMR investigations and DFT studies of model compounds for vanadium haloperoxidases","doi":"10.1016/j.ssnmr.2008.02.003","issue":"1–2","year":"2008","citation":{"ieee":"A. Schweitzer <i>et al.</i>, “51V solid-state NMR investigations and DFT studies of model compounds for vanadium haloperoxidases,” <i>Solid State Nuclear Magnetic Resonance</i>, vol. 34, no. 1–2, pp. 52–67, 2008, doi: <a href=\"https://doi.org/10.1016/j.ssnmr.2008.02.003\">10.1016/j.ssnmr.2008.02.003</a>.","chicago":"Schweitzer, Annika, Torsten Gutmann, Maria Wächtler, Hergen Breitzke, Axel Buchholz, Winfried Plass, and Gerd Buntkowsky. “51V Solid-State NMR Investigations and DFT Studies of Model Compounds for Vanadium Haloperoxidases.” <i>Solid State Nuclear Magnetic Resonance</i> 34, no. 1–2 (2008): 52–67. <a href=\"https://doi.org/10.1016/j.ssnmr.2008.02.003\">https://doi.org/10.1016/j.ssnmr.2008.02.003</a>.","ama":"Schweitzer A, Gutmann T, Wächtler M, et al. 51V solid-state NMR investigations and DFT studies of model compounds for vanadium haloperoxidases. <i>Solid State Nuclear Magnetic Resonance</i>. 2008;34(1–2):52–67. doi:<a href=\"https://doi.org/10.1016/j.ssnmr.2008.02.003\">10.1016/j.ssnmr.2008.02.003</a>","mla":"Schweitzer, Annika, et al. “51V Solid-State NMR Investigations and DFT Studies of Model Compounds for Vanadium Haloperoxidases.” <i>Solid State Nuclear Magnetic Resonance</i>, vol. 34, no. 1–2, 2008, pp. 52–67, doi:<a href=\"https://doi.org/10.1016/j.ssnmr.2008.02.003\">10.1016/j.ssnmr.2008.02.003</a>.","bibtex":"@article{Schweitzer_Gutmann_Wächtler_Breitzke_Buchholz_Plass_Buntkowsky_2008, title={51V solid-state NMR investigations and DFT studies of model compounds for vanadium haloperoxidases}, volume={34}, DOI={<a href=\"https://doi.org/10.1016/j.ssnmr.2008.02.003\">10.1016/j.ssnmr.2008.02.003</a>}, number={1–2}, journal={Solid State Nuclear Magnetic Resonance}, author={Schweitzer, Annika and Gutmann, Torsten and Wächtler, Maria and Breitzke, Hergen and Buchholz, Axel and Plass, Winfried and Buntkowsky, Gerd}, year={2008}, pages={52–67} }","short":"A. Schweitzer, T. Gutmann, M. Wächtler, H. Breitzke, A. Buchholz, W. Plass, G. Buntkowsky, Solid State Nuclear Magnetic Resonance 34 (2008) 52–67.","apa":"Schweitzer, A., Gutmann, T., Wächtler, M., Breitzke, H., Buchholz, A., Plass, W., &#38; Buntkowsky, G. (2008). 51V solid-state NMR investigations and DFT studies of model compounds for vanadium haloperoxidases. <i>Solid State Nuclear Magnetic Resonance</i>, <i>34</i>(1–2), 52–67. <a href=\"https://doi.org/10.1016/j.ssnmr.2008.02.003\">https://doi.org/10.1016/j.ssnmr.2008.02.003</a>"},"intvolume":"        34","page":"52–67","_id":"64041","user_id":"100715","keyword":["51V NMR","Model system","Ab initio calculation","Cis-dioxovanadium(V) complex","Haloperoxidase","Numerical optimization","Quadrupolar interaction"],"language":[{"iso":"eng"}],"extern":"1","type":"journal_article","publication":"Solid State Nuclear Magnetic Resonance","abstract":[{"lang":"eng","text":"Three cis-dioxovanadium(V) complexes with similar N -salicylidenehydrazide ligands modeling hydrogen bonding interactions of vanadate relevant for vanadium haloperoxidases are studied by 51V solid-state NMR spectroscopy. Their parameters describing the quadrupolar and chemical shift anisotropy interactions (quadrupolar coupling constant C Q , asymmetry of the quadrupolar tensor η Q , isotropic chemical shift δ iso , chemical shift anisotropy δ σ , asymmetry of the chemical shift tensor η σ and the Euler angles α , β and γ ) are determined both experimentally and theoretically using DFT methods. A comparative study of different methods to determine the NMR parameters by numerical simulation of the spectra is presented. Detailed theoretical investigations on the DFT level using various basis sets and structural models show that by useful choice of the methodology, the calculated parameters agree to the experimental ones in a very good manner."}],"status":"public"},{"publication":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)","type":"conference","status":"public","abstract":[{"text":"A marginalized particle filter is proposed for performing single channel speech enhancement with a non-linear dynamic state model. The system consists of a particle filter for tracking line spectral pair (LSP) parameters and a Kalman filter per particle for speech enhancement. The state model for the LSPs has been learnt on clean speech training data. In our approach parameters and speech samples are processed at different time scales by assuming the parameters to be constant for small blocks of data. Further enhancement is obtained by an iteration which can be applied on these small blocks. The experiments show that similar SNR gains are obtained as with the Kalman-LM-iterative algorithm. However better values of the noise level and the log-spectral distance are achieved","lang":"eng"}],"department":[{"_id":"54"}],"user_id":"44006","_id":"11943","language":[{"iso":"eng"}],"keyword":["clean speech training data","iterative methods","iterative speech enhancement","Kalman filter","Kalman filters","Kalman-LM-iterative algorithm","line spectral pair parameters","log-spectral distance","marginalized particle filter","noise level","nonlinear dynamic state speech model","particle filtering (numerical methods)","single channel speech enhancement","SNR gains","speech enhancement","speech samples"],"page":"I","intvolume":"         1","citation":{"bibtex":"@inproceedings{Windmann_Haeb-Umbach_2006, title={Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters}, volume={1}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2006.1660058\">10.1109/ICASSP.2006.1660058</a>}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)}, author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2006}, pages={I} }","mla":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Iterative Speech Enhancement Using a Non-Linear Dynamic State Model of Speech and Its Parameters.” <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)</i>, vol. 1, 2006, p. I, doi:<a href=\"https://doi.org/10.1109/ICASSP.2006.1660058\">10.1109/ICASSP.2006.1660058</a>.","short":"S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.","apa":"Windmann, S., &#38; Haeb-Umbach, R. (2006). Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)</i> (Vol. 1, p. I). <a href=\"https://doi.org/10.1109/ICASSP.2006.1660058\">https://doi.org/10.1109/ICASSP.2006.1660058</a>","ama":"Windmann S, Haeb-Umbach R. Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters. In: <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)</i>. Vol 1. ; 2006:I. doi:<a href=\"https://doi.org/10.1109/ICASSP.2006.1660058\">10.1109/ICASSP.2006.1660058</a>","ieee":"S. Windmann and R. Haeb-Umbach, “Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters,” in <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)</i>, 2006, vol. 1, p. I.","chicago":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Iterative Speech Enhancement Using a Non-Linear Dynamic State Model of Speech and Its Parameters.” In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)</i>, 1:I, 2006. <a href=\"https://doi.org/10.1109/ICASSP.2006.1660058\">https://doi.org/10.1109/ICASSP.2006.1660058</a>."},"year":"2006","volume":1,"date_created":"2019-07-12T05:31:15Z","author":[{"full_name":"Windmann, Stefan","last_name":"Windmann","first_name":"Stefan"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"oa":"1","date_updated":"2022-01-06T06:51:12Z","doi":"10.1109/ICASSP.2006.1660058","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2006/WiHa06-2.pdf","open_access":"1"}],"title":"Iterative Speech Enhancement using a Non-Linear Dynamic State Model of Speech and its Parameters"},{"keyword":["System State     Formal Semantic     Object Management Group     Denotational Semantic     Dynamic Semantic"],"language":[{"iso":"eng"}],"_id":"39352","department":[{"_id":"672"}],"user_id":"5786","abstract":[{"lang":"eng","text":"The recently adopted OCL 2.0 specification comes with a formal semantics that is based on set theory with a notion of an object model and system states. System states keep the runtime information relevant for the evaluation of OCL expressions. However, not all new language concepts of OCL 2.0 are already addressed in that formal semantics. We show how to overcome this by introducing new components to the object model and system states defining a dynamic semantics of OCL. In order to give precise rules that determine when the current system state has to be updated according to a change in the referred UML model, we make use of adequate mathematical means, namely Abstract State Machines (ASMs). Though our ASM specification also gives a clear definition for the evaluation of OCL constraints, it leaves sufficient flexibility for application specific implementations that have to determine when constraints are to be checked."}],"status":"public","publication":"Proceedings of the UML 2004","type":"conference","title":"An ASM Definition of the Dynamic OCL 2.0 Semantics","doi":"10.1007/978-3-540-30187-5_17","date_updated":"2023-01-24T09:28:58Z","date_created":"2023-01-24T09:28:53Z","author":[{"first_name":"Stephan","last_name":"Flake","full_name":"Flake, Stephan"},{"first_name":"Wolfgang","full_name":"Müller, Wolfgang","last_name":"Müller"}],"place":"Lisbon, Portugal","year":"2004","citation":{"chicago":"Flake, Stephan, and Wolfgang Müller. “An ASM Definition of the Dynamic OCL 2.0 Semantics.” In <i>Proceedings of the UML 2004</i>. Lisbon, Portugal, 2004. <a href=\"https://doi.org/10.1007/978-3-540-30187-5_17\">https://doi.org/10.1007/978-3-540-30187-5_17</a>.","ieee":"S. Flake and W. Müller, “An ASM Definition of the Dynamic OCL 2.0 Semantics,” 2004, doi: <a href=\"https://doi.org/10.1007/978-3-540-30187-5_17\">10.1007/978-3-540-30187-5_17</a>.","ama":"Flake S, Müller W. An ASM Definition of the Dynamic OCL 2.0 Semantics. In: <i>Proceedings of the UML 2004</i>. ; 2004. doi:<a href=\"https://doi.org/10.1007/978-3-540-30187-5_17\">10.1007/978-3-540-30187-5_17</a>","mla":"Flake, Stephan, and Wolfgang Müller. “An ASM Definition of the Dynamic OCL 2.0 Semantics.” <i>Proceedings of the UML 2004</i>, 2004, doi:<a href=\"https://doi.org/10.1007/978-3-540-30187-5_17\">10.1007/978-3-540-30187-5_17</a>.","bibtex":"@inproceedings{Flake_Müller_2004, place={Lisbon, Portugal}, title={An ASM Definition of the Dynamic OCL 2.0 Semantics}, DOI={<a href=\"https://doi.org/10.1007/978-3-540-30187-5_17\">10.1007/978-3-540-30187-5_17</a>}, booktitle={Proceedings of the UML 2004}, author={Flake, Stephan and Müller, Wolfgang}, year={2004} }","short":"S. Flake, W. Müller, in: Proceedings of the UML 2004, Lisbon, Portugal, 2004.","apa":"Flake, S., &#38; Müller, W. (2004). An ASM Definition of the Dynamic OCL 2.0 Semantics. <i>Proceedings of the UML 2004</i>. <a href=\"https://doi.org/10.1007/978-3-540-30187-5_17\">https://doi.org/10.1007/978-3-540-30187-5_17</a>"},"publication_identifier":{"eisbn":["978-3-540-30187-5"]}}]