[{"abstract":[{"lang":"eng","text":"In this contribution we extend a previously proposed Bayesian approach for the enhancement of reverberant logarithmic mel power spectral coefficients for robust automatic speech recognition to the additional compensation of background noise. A recently proposed observation model is employed whose time-variant observation error statistics are obtained as a side product of the inference of the a posteriori probability density function of the clean speech feature vectors. Further a reduction of the computational effort and the memory requirements are achieved by using a recursive formulation of the observation model. The performance of the proposed algorithms is first experimentally studied on a connected digits recognition task with artificially created noisy reverberant data. It is shown that the use of the time-variant observation error model leads to a significant error rate reduction at low signal-to-noise ratios compared to a time-invariant model. Further experiments were conducted on a 5000 word task recorded in a reverberant and noisy environment. A significant word error rate reduction was obtained demonstrating the effectiveness of the approach on real-world data."}],"status":"public","type":"journal_article","publication":"IEEE Transactions on Audio, Speech, and Language Processing","keyword":["Bayes methods","compensation","error statistics","reverberation","speech recognition","Bayesian feature enhancement","background noise","clean speech feature vectors","compensation","connected digits recognition task","error statistics","memory requirements","noisy reverberant data","posteriori probability density function","recursive formulation","reverberant logarithmic mel power spectral coefficients","robust automatic speech recognition","signal-to-noise ratios","time-variant observation","word error rate reduction","Robust automatic speech recognition","model-based Bayesian feature enhancement","observation model for reverberant and noisy speech","recursive observation model"],"language":[{"iso":"eng"}],"_id":"11862","user_id":"44006","department":[{"_id":"54"}],"year":"2013","citation":{"apa":"Leutnant, V., Krueger, A., &#38; Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>21</i>(8), 1640–1652. <a href=\"https://doi.org/10.1109/TASL.2013.2258013\">https://doi.org/10.1109/TASL.2013.2258013</a>","short":"V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 21 (2013) 1640–1652.","bibtex":"@article{Leutnant_Krueger_Haeb-Umbach_2013, title={Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition}, volume={21}, DOI={<a href=\"https://doi.org/10.1109/TASL.2013.2258013\">10.1109/TASL.2013.2258013</a>}, number={8}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2013}, pages={1640–1652} }","mla":"Leutnant, Volker, et al. “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 21, no. 8, 2013, pp. 1640–52, doi:<a href=\"https://doi.org/10.1109/TASL.2013.2258013\">10.1109/TASL.2013.2258013</a>.","ieee":"V. Leutnant, A. Krueger, and R. Haeb-Umbach, “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 21, no. 8, pp. 1640–1652, 2013.","chicago":"Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 21, no. 8 (2013): 1640–52. <a href=\"https://doi.org/10.1109/TASL.2013.2258013\">https://doi.org/10.1109/TASL.2013.2258013</a>.","ama":"Leutnant V, Krueger A, Haeb-Umbach R. Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2013;21(8):1640-1652. doi:<a href=\"https://doi.org/10.1109/TASL.2013.2258013\">10.1109/TASL.2013.2258013</a>"},"intvolume":"        21","page":"1640-1652","issue":"8","title":"Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition","doi":"10.1109/TASL.2013.2258013","date_updated":"2022-01-06T06:51:11Z","author":[{"first_name":"Volker","full_name":"Leutnant, Volker","last_name":"Leutnant"},{"first_name":"Alexander","full_name":"Krueger, Alexander","last_name":"Krueger"},{"first_name":"Reinhold","id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach"}],"date_created":"2019-07-12T05:29:42Z","volume":21},{"citation":{"ieee":"D. H. T. Vu and R. Haeb-Umbach, “Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation,” in <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 2013, pp. 863–867.","chicago":"Vu, Dang Hai Tran, and Reinhold Haeb-Umbach. “Using the Turbo Principle for Exploiting Temporal and Spectral Correlations in Speech Presence Probability Estimation.” In <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 863–67, 2013. <a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">https://doi.org/10.1109/ICASSP.2013.6637771</a>.","ama":"Vu DHT, Haeb-Umbach R. Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In: <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>. ; 2013:863-867. doi:<a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">10.1109/ICASSP.2013.6637771</a>","apa":"Vu, D. H. T., &#38; Haeb-Umbach, R. (2013). Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i> (pp. 863–867). <a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">https://doi.org/10.1109/ICASSP.2013.6637771</a>","mla":"Vu, Dang Hai Tran, and Reinhold Haeb-Umbach. “Using the Turbo Principle for Exploiting Temporal and Spectral Correlations in Speech Presence Probability Estimation.” <i>38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)</i>, 2013, pp. 863–67, doi:<a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">10.1109/ICASSP.2013.6637771</a>.","bibtex":"@inproceedings{Vu_Haeb-Umbach_2013, title={Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2013.6637771\">10.1109/ICASSP.2013.6637771</a>}, booktitle={38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)}, author={Vu, Dang Hai Tran and Haeb-Umbach, Reinhold}, year={2013}, pages={863–867} }","short":"D.H.T. Vu, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 863–867."},"page":"863-867","year":"2013","publication_identifier":{"issn":["1520-6149"]},"doi":"10.1109/ICASSP.2013.6637771","title":"Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation","date_created":"2019-07-12T05:30:45Z","author":[{"first_name":"Dang Hai Tran","full_name":"Vu, Dang Hai Tran","last_name":"Vu"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_updated":"2022-01-06T06:51:12Z","status":"public","abstract":[{"lang":"eng","text":"In this paper we present a speech presence probability (SPP) estimation algorithmwhich exploits both temporal and spectral correlations of speech. To this end, the SPP estimation is formulated as the posterior probability estimation of the states of a two-dimensional (2D) Hidden Markov Model (HMM). We derive an iterative algorithm to decode the 2D-HMM which is based on the turbo principle. The experimental results show that indeed the SPP estimates improve from iteration to iteration, and further clearly outperform another state-of-the-art SPP estimation algorithm."}],"type":"conference","publication":"38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013)","language":[{"iso":"eng"}],"keyword":["correlation methods","estimation theory","hidden Markov models","iterative methods","probability","spectral analysis","speech processing","2D HMM","SPP estimates","iterative algorithm","posterior probability estimation","spectral correlation","speech presence probability estimation","state-of-the-art SPP estimation algorithm","temporal correlation","turbo principle","two-dimensional hidden Markov model","Correlation","Decoding","Estimation","Iterative decoding","Noise","Speech","Vectors"],"user_id":"44006","department":[{"_id":"54"}],"_id":"11917"},{"publication":"Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)","abstract":[{"text":"For the valuation of fast growing innovative firms Schwartz and Moon (Financ Anal J 56:62–75, 2000), (Financ Rev 36:7–26, 2001) develop a fundamental valuation model where key parameters follow stochastic processes. While prior research shows promising potential for this model, it has never been tested on a large scale dataset. Thus, guided by economic theory, this paper is the first to design a large-scale applicable implementation on around 30,000 technology firm quarter observations from 1992 to 2009 for the US to assess this model. Evaluating the feasibility and performance of the Schwartz-Moon model reveals that it is comparably accurate to the traditional sales multiple with key advantages in valuing small and non-listed firms. Most importantly, however, the model is able to indicate severe market over- or undervaluation from a fundamental perspective. We demonstrate that a trading strategy based on our implementation has significant investment value. Consequently, the model seems suitable for detecting misvaluations as the dot-com bubble.","lang":"eng"}],"language":[{"iso":"eng"}],"keyword":["Schwartz-Moon model","Market mispricing","Empirical test","Company valuation","Trading strategy"],"issue":"9","quality_controlled":"1","year":"2013","date_created":"2018-10-31T11:31:56Z","publisher":"Springer","title":"Valuing high technology growth firms","type":"journal_article","status":"public","department":[{"_id":"275"}],"user_id":"115848","_id":"5192","extern":"1","article_type":"original","publication_status":"published","intvolume":"        83","page":"947-984","jel":["G11","G12","G17","G33"],"citation":{"apa":"Klobucnik, J., &#38; Sievers, S. (2013). Valuing high technology growth firms. <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i>, <i>83</i>(9), 947–984. <a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>","bibtex":"@article{Klobucnik_Sievers_2013, title={Valuing high technology growth firms}, volume={83}, DOI={<a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>}, number={9}, journal={Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)}, publisher={Springer}, author={Klobucnik, Jan and Sievers, Sönke}, year={2013}, pages={947–984} }","mla":"Klobucnik, Jan, and Sönke Sievers. “Valuing High Technology Growth Firms.” <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i>, vol. 83, no. 9, Springer, 2013, pp. 947–84, doi:<a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>.","short":"J. Klobucnik, S. Sievers, Journal of Business Economics (VHB-JOURQUAL 4 Ranking B) 83 (2013) 947–984.","ama":"Klobucnik J, Sievers S. Valuing high technology growth firms. <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i>. 2013;83(9):947-984. doi:<a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>","chicago":"Klobucnik, Jan, and Sönke Sievers. “Valuing High Technology Growth Firms.” <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i> 83, no. 9 (2013): 947–84. <a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>.","ieee":"J. Klobucnik and S. Sievers, “Valuing high technology growth firms,” <i>Journal of Business Economics (VHB-JOURQUAL 4 Ranking B)</i>, vol. 83, no. 9, pp. 947–984, 2013, doi: <a href=\"https://doi.org/10.1007/s11573-013-0684-2\">https://doi.org/10.1007/s11573-013-0684-2</a>."},"volume":83,"author":[{"first_name":"Jan","full_name":"Klobucnik, Jan","last_name":"Klobucnik"},{"full_name":"Sievers, Sönke","id":"46447","last_name":"Sievers","first_name":"Sönke"}],"date_updated":"2026-04-09T08:00:16Z","doi":"https://doi.org/10.1007/s11573-013-0684-2","main_file_link":[{"url":"https://link.springer.com/article/10.1007/s11573-013-0684-2"}]},{"related_material":{"link":[{"url":"http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1145201","relation":"earlier_version"}]},"publication_status":"published","jel":["G12","G14","M41"],"citation":{"bibtex":"@article{Heinrichs_Hess_Homburg_Lorenz_Sievers_2013, title={Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions}, volume={30}, DOI={<a href=\"https://doi.org/10.2139/ssrn.1145201\">10.2139/ssrn.1145201</a>}, number={1}, journal={Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)}, publisher={Wiley Online Library}, author={Heinrichs, Nicolas and Hess, Dieter and Homburg, Carsten and Lorenz, Michael and Sievers, Sönke}, year={2013}, pages={42–79} }","mla":"Heinrichs, Nicolas, et al. “Extended Dividend, Cash Flow, and Residual Income Valuation Models: Accounting for Deviations from Ideal Conditions.” <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i>, vol. 30, no. 1, Wiley Online Library, 2013, pp. 42–79, doi:<a href=\"https://doi.org/10.2139/ssrn.1145201\">10.2139/ssrn.1145201</a>.","short":"N. Heinrichs, D. Hess, C. Homburg, M. Lorenz, S. Sievers, Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+) 30 (2013) 42–79.","apa":"Heinrichs, N., Hess, D., Homburg, C., Lorenz, M., &#38; Sievers, S. (2013). Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions. <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i>, <i>30</i>(1), 42–79. <a href=\"https://doi.org/10.2139/ssrn.1145201\">https://doi.org/10.2139/ssrn.1145201</a>","chicago":"Heinrichs, Nicolas, Dieter Hess, Carsten Homburg, Michael Lorenz, and Sönke Sievers. “Extended Dividend, Cash Flow, and Residual Income Valuation Models: Accounting for Deviations from Ideal Conditions.” <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i> 30, no. 1 (2013): 42–79. <a href=\"https://doi.org/10.2139/ssrn.1145201\">https://doi.org/10.2139/ssrn.1145201</a>.","ieee":"N. Heinrichs, D. Hess, C. Homburg, M. Lorenz, and S. Sievers, “Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions,” <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i>, vol. 30, no. 1, pp. 42–79, 2013, doi: <a href=\"https://doi.org/10.2139/ssrn.1145201\">10.2139/ssrn.1145201</a>.","ama":"Heinrichs N, Hess D, Homburg C, Lorenz M, Sievers S. Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions. <i>Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)</i>. 2013;30(1):42-79. doi:<a href=\"https://doi.org/10.2139/ssrn.1145201\">10.2139/ssrn.1145201</a>"},"intvolume":"        30","page":"42-79","author":[{"full_name":"Heinrichs, Nicolas","last_name":"Heinrichs","first_name":"Nicolas"},{"first_name":"Dieter","full_name":"Hess, Dieter","last_name":"Hess"},{"last_name":"Homburg","full_name":"Homburg, Carsten","first_name":"Carsten"},{"first_name":"Michael","last_name":"Lorenz","full_name":"Lorenz, Michael"},{"first_name":"Sönke","last_name":"Sievers","full_name":"Sievers, Sönke","id":"46447"}],"volume":30,"date_updated":"2026-04-09T08:22:32Z","main_file_link":[{"url":"http://onlinelibrary.wiley.com/doi/10.1111/j.1911-3846.2011.01148.x/abstract"}],"doi":"10.2139/ssrn.1145201","type":"journal_article","status":"public","user_id":"115848","department":[{"_id":"275"}],"_id":"5113","extern":"1","article_type":"original","issue":"1","quality_controlled":"1","year":"2013","date_created":"2018-10-31T07:58:17Z","publisher":"Wiley Online Library","title":"Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions","publication":"Contemporary Accounting Research (VHB-JOURQUAL 4 Ranking A+)","abstract":[{"lang":"eng","text":"Standard equity valuation approaches (i.e., DDM, RIM, and DCF model) are derived under the assumption of ideal conditions, such as infinite payoffs and clean surplus accounting. Because these conditions are hardly ever met, we extend the standard approaches, based on the fundamental principle of financial statement articulation. The extended models are then tested empirically by employing two sets of forecasts: (1) analyst forecasts provided by Value Line and (2) forecasts generated by cross-sectional regression models. The main result is that our extended models yield considerably smaller valuation errors. Moreover, by construction, identical value estimates are obtained across the extended models. By reestablishing empirical equivalence under non-ideal conditions, our approach provides a benchmark that enables us to quantify the errors resulting from individual deviations from ideal conditions, and thus, to analyze the robustness of the standard approaches. Finally, by providing a level playing field for the different valuation approaches, our findings have implications for other empirical settings, for example, estimating the implied cost of capital. "}],"language":[{"iso":"eng"}],"keyword":["Dividend Discount Model","Residual Income","Discounted Cash Flow","Dirty Surplus","Terminal Value","Valuation Error"]},{"year":"2012","place":"New York, NY, USA","page":"117-122","citation":{"apa":"Becker, M., Luckey, M., &#38; Becker, S. (2012). Model-driven Performance Engineering of Self-adaptive Systems: A Survey. In <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i> (pp. 117–122). New York, NY, USA: ACM. <a href=\"https://doi.org/10.1145/2304696.2304716\">https://doi.org/10.1145/2304696.2304716</a>","short":"M. Becker, M. Luckey, S. Becker, in: {Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}, ACM, New York, NY, USA, 2012, pp. 117–122.","bibtex":"@inproceedings{Becker_Luckey_Becker_2012, place={New York, NY, USA}, title={Model-driven Performance Engineering of Self-adaptive Systems: A Survey}, DOI={<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>}, booktitle={{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}}, publisher={ACM}, author={Becker, Matthias and Luckey, Markus and Becker, Steffen}, year={2012}, pages={117–122} }","mla":"Becker, Matthias, et al. “Model-Driven Performance Engineering of Self-Adaptive Systems: A Survey.” <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, ACM, 2012, pp. 117–22, doi:<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>.","chicago":"Becker, Matthias, Markus Luckey, and Steffen Becker. “Model-Driven Performance Engineering of Self-Adaptive Systems: A Survey.” In <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, 117–22. New York, NY, USA: ACM, 2012. <a href=\"https://doi.org/10.1145/2304696.2304716\">https://doi.org/10.1145/2304696.2304716</a>.","ieee":"M. Becker, M. Luckey, and S. Becker, “Model-driven Performance Engineering of Self-adaptive Systems: A Survey,” in <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>, 2012, pp. 117–122.","ama":"Becker M, Luckey M, Becker S. Model-driven Performance Engineering of Self-adaptive Systems: A Survey. In: <i>{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}</i>. New York, NY, USA: ACM; 2012:117-122. doi:<a href=\"https://doi.org/10.1145/2304696.2304716\">10.1145/2304696.2304716</a>"},"publication_identifier":{"isbn":["978-1-4503-1346-9"]},"title":"Model-driven Performance Engineering of Self-adaptive Systems: A Survey","doi":"10.1145/2304696.2304716","date_updated":"2022-01-06T06:55:39Z","publisher":"ACM","author":[{"full_name":"Becker, Matthias","last_name":"Becker","first_name":"Matthias"},{"first_name":"Markus","full_name":"Luckey, Markus","last_name":"Luckey"},{"first_name":"Steffen","last_name":"Becker","full_name":"Becker, Steffen"}],"date_created":"2021-07-15T08:38:08Z","status":"public","publication":"{Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}","type":"conference","keyword":["model-driven performance engineering","self-*","Self-adaptation","software performance"],"_id":"22737","user_id":"4870"},{"date_updated":"2022-01-06T07:04:20Z","author":[{"first_name":"Matthias","full_name":"Hunstig, Matthias","last_name":"Hunstig"},{"last_name":"Hemsel","full_name":"Hemsel, Tobias","first_name":"Tobias"},{"full_name":"Sextro, Walter","last_name":"Sextro","first_name":"Walter"}],"date_created":"2019-05-13T13:20:17Z","title":"An efficient simulation technique for high-frequency piezoelectric inertia motors","doi":"10.1109/ULTSYM.2012.0068","quality_controlled":"1","publication_identifier":{"issn":["1948-5719"]},"year":"2012","citation":{"ama":"Hunstig M, Hemsel T, Sextro W. An efficient simulation technique for high-frequency piezoelectric inertia motors. In: <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i>. ; 2012:277-280. doi:<a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">10.1109/ULTSYM.2012.0068</a>","ieee":"M. Hunstig, T. Hemsel, and W. Sextro, “An efficient simulation technique for high-frequency piezoelectric inertia motors,” in <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i>, 2012, pp. 277–280.","chicago":"Hunstig, Matthias, Tobias Hemsel, and Walter Sextro. “An Efficient Simulation Technique for High-Frequency Piezoelectric Inertia Motors.” In <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i>, 277–80, 2012. <a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">https://doi.org/10.1109/ULTSYM.2012.0068</a>.","bibtex":"@inproceedings{Hunstig_Hemsel_Sextro_2012, title={An efficient simulation technique for high-frequency piezoelectric inertia motors}, DOI={<a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">10.1109/ULTSYM.2012.0068</a>}, booktitle={Ultrasonics Symposium (IUS), 2012 IEEE International}, author={Hunstig, Matthias and Hemsel, Tobias and Sextro, Walter}, year={2012}, pages={277–280} }","short":"M. Hunstig, T. Hemsel, W. Sextro, in: Ultrasonics Symposium (IUS), 2012 IEEE International, 2012, pp. 277–280.","mla":"Hunstig, Matthias, et al. “An Efficient Simulation Technique for High-Frequency Piezoelectric Inertia Motors.” <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i>, 2012, pp. 277–80, doi:<a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">10.1109/ULTSYM.2012.0068</a>.","apa":"Hunstig, M., Hemsel, T., &#38; Sextro, W. (2012). An efficient simulation technique for high-frequency piezoelectric inertia motors. In <i>Ultrasonics Symposium (IUS), 2012 IEEE International</i> (pp. 277–280). <a href=\"https://doi.org/10.1109/ULTSYM.2012.0068\">https://doi.org/10.1109/ULTSYM.2012.0068</a>"},"page":"277-280","_id":"9784","user_id":"55222","department":[{"_id":"151"}],"keyword":["friction","ultrasonic motors","Coulomb friction model","efficient simulation technique","friction contact","high-frequency piezoelectric inertia motor","motor characteristics prediction","numerical simulation","slip-slip mode","stick-slip mode","time-step simulation","ultrasonic inertia motor","Acceleration","Acoustics","Actuators","Computational modeling","Friction","Numerical models","Steady-state"],"language":[{"iso":"eng"}],"type":"conference","publication":"Ultrasonics Symposium (IUS), 2012 IEEE International","abstract":[{"text":"Piezoelectric inertia motors use the inertia of a body to drive it by means of a friction contact in a series of small steps. These motors can operate in ``stick-slip'' or ``slip-slip'' mode, with the fundamental frequency of the driving signal ranging from several Hertz to more than 100 kHz. To predict the motor characteristics, a Coulomb friction model is sufficient in many cases, but numerical simulation requires microscopic time steps. This contribution proposes a much faster simulation technique using one evaluation per period of the excitation signal. The proposed technique produces results very close to those of timestep simulation for ultrasonics inertia motors and allows direct determination of the steady-state velocity of an inertia motor from the motion profile of the driving part. Thus it is a useful simulation technique which can be applied in both analysis and design of inertia motors, especially for parameter studies and optimisation.","lang":"eng"}],"status":"public"},{"title":"A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR","main_file_link":[{"open_access":"1","url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6335731"}],"oa":"1","date_updated":"2022-01-06T06:51:11Z","date_created":"2019-07-12T05:29:44Z","author":[{"full_name":"Leutnant, Volker","last_name":"Leutnant","first_name":"Volker"},{"full_name":"Krueger, Alexander","last_name":"Krueger","first_name":"Alexander"},{"last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242","first_name":"Reinhold"}],"year":"2012","citation":{"ieee":"V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR,” in <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on</i>, 2012.","chicago":"Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A Statistical Observation Model For Noisy Reverberant Speech Features and Its Application to Robust ASR.” In <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On</i>, 2012.","ama":"Leutnant V, Krueger A, Haeb-Umbach R. A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR. In: <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On</i>. ; 2012.","bibtex":"@inproceedings{Leutnant_Krueger_Haeb-Umbach_2012, title={A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR}, booktitle={Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2012} }","mla":"Leutnant, Volker, et al. “A Statistical Observation Model For Noisy Reverberant Speech Features and Its Application to Robust ASR.” <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On</i>, 2012.","short":"V. Leutnant, A. Krueger, R. Haeb-Umbach, in: Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On, 2012.","apa":"Leutnant, V., Krueger, A., &#38; Haeb-Umbach, R. (2012). A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR. In <i>Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on</i>."},"keyword":["Robust Automatic Speech Recognition","Bayesian feature enhancement","observation model for reverberant and noisy speech"],"language":[{"iso":"eng"}],"_id":"11864","user_id":"44006","department":[{"_id":"54"}],"abstract":[{"lang":"eng","text":"In this work, an observation model for the joint compensation of noise and reverberation in the logarithmic mel power spectral density domain is considered. It relates the features of the noisy reverberant speech to those of the non-reverberant speech and the noise. In contrast to enhancement of features only corrupted by reverberation (reverberant features), enhancement of noisy reverberant features requires a more sophisticated model for the error introduced by the proposed observation model. In a first consideration, it will be shown that this error is highly dependent on the instantaneous ratio of the power of reverberant speech to the power of the noise and, moreover, sensitive to the phase between reverberant speech and noise in the short-time discrete Fourier domain. Afterwards, a statistically motivated approach will be presented allowing for the model of the observation error to be inferred from the error model previously used for the reverberation only case. Finally, the developed observation error model will be utilized in a Bayesian feature enhancement scheme, leading to improvements in word accuracy on the AURORA5 database."}],"status":"public","type":"conference","publication":"Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference on"},{"abstract":[{"text":"In this paper, we present a new technique for automatic speech recognition (ASR) in reverberant environments. Our approach is aimed at the enhancement of the logarithmic Mel power spectrum, which is computed at an intermediate stage to obtain the widely used Mel frequency cepstral coefficients (MFCCs). Given the reverberant logarithmic Mel power spectral coefficients (LMPSCs), a minimum mean square error estimate of the clean LMPSCs is computed by carrying out Bayesian inference. We employ switching linear dynamical models as an a priori model for the dynamics of the clean LMPSCs. Further, we derive a stochastic observation model which relates the clean to the reverberant LMPSCs through a simplified model of the room impulse response (RIR). This model requires only two parameters, namely RIR energy and reverberation time, which can be estimated from the captured microphone signal. The performance of the proposed enhancement technique is studied on the AURORA5 database and compared to that of constrained maximum-likelihood linear regression (CMLLR). It is shown by experimental results that our approach significantly outperforms CMLLR and that up to 80\\% of the errors caused by the reverberation are recovered. In addition to the fact that the approach is compatible with the standard MFCC feature vectors, it leaves the ASR back-end unchanged. It is of moderate computational complexity and suitable for real time applications.","lang":"eng"}],"publication":"IEEE Transactions on Audio, Speech, and Language Processing","language":[{"iso":"eng"}],"keyword":["ASR","AURORA5 database","automatic speech recognition","Bayesian inference","belief networks","CMLLR","computational complexity","constrained maximum likelihood linear regression","least mean squares methods","LMPSC computation","logarithmic Mel power spectrum","maximum likelihood estimation","Mel frequency cepstral coefficients","MFCC feature vectors","microphone signal","minimum mean square error estimation","model-based feature enhancement","regression analysis","reverberant speech recognition","reverberation","RIR energy","room impulse response","speech recognition","stochastic observation model","stochastic processes"],"year":"2010","issue":"7","title":"Model-Based Feature Enhancement for Reverberant Speech Recognition","date_created":"2019-07-12T05:29:23Z","status":"public","type":"journal_article","user_id":"44006","department":[{"_id":"54"}],"_id":"11846","citation":{"ieee":"A. Krueger and R. Haeb-Umbach, “Model-Based Feature Enhancement for Reverberant Speech Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 18, no. 7, pp. 1692–1707, 2010.","chicago":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Model-Based Feature Enhancement for Reverberant Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 18, no. 7 (2010): 1692–1707. <a href=\"https://doi.org/10.1109/TASL.2010.2049684\">https://doi.org/10.1109/TASL.2010.2049684</a>.","ama":"Krueger A, Haeb-Umbach R. Model-Based Feature Enhancement for Reverberant Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2010;18(7):1692-1707. doi:<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>","apa":"Krueger, A., &#38; Haeb-Umbach, R. (2010). Model-Based Feature Enhancement for Reverberant Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>18</i>(7), 1692–1707. <a href=\"https://doi.org/10.1109/TASL.2010.2049684\">https://doi.org/10.1109/TASL.2010.2049684</a>","mla":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Model-Based Feature Enhancement for Reverberant Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 18, no. 7, 2010, pp. 1692–707, doi:<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>.","short":"A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 18 (2010) 1692–1707.","bibtex":"@article{Krueger_Haeb-Umbach_2010, title={Model-Based Feature Enhancement for Reverberant Speech Recognition}, volume={18}, DOI={<a href=\"https://doi.org/10.1109/TASL.2010.2049684\">10.1109/TASL.2010.2049684</a>}, number={7}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2010}, pages={1692–1707} }"},"intvolume":"        18","page":"1692-1707","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2010/KrHa10.pdf"}],"doi":"10.1109/TASL.2010.2049684","author":[{"first_name":"Alexander","last_name":"Krueger","full_name":"Krueger, Alexander"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"volume":18,"oa":"1","date_updated":"2022-01-06T06:51:11Z"},{"language":[{"iso":"eng"}],"keyword":["array signal processing","blind source separation","blind speech separation","complex vector space","complex Watson distribution","directional statistics","expectation-maximisation algorithm","expectation maximization algorithm","Fourier transform","Fourier transforms","generalized sidelobe canceller","interference suppression","maximum signal-to-noise ratio beamformer","microphone signal","probabilistic model","spatial aliasing","spatial beamforming configuration","speech enhancement","statistical distributions"],"user_id":"44006","department":[{"_id":"54"}],"_id":"11913","status":"public","abstract":[{"text":"In this paper we propose to employ directional statistics in a complex vector space to approach the problem of blind speech separation in the presence of spatially correlated noise. We interpret the values of the short time Fourier transform of the microphone signals to be draws from a mixture of complex Watson distributions, a probabilistic model which naturally accounts for spatial aliasing. The parameters of the density are related to the a priori source probabilities, the power of the sources and the transfer function ratios from sources to sensors. Estimation formulas are derived for these parameters by employing the Expectation Maximization (EM) algorithm. The E-step corresponds to the estimation of the source presence probabilities for each time-frequency bin, while the M-step leads to a maximum signal-to-noise ratio (MaxSNR) beamformer in the presence of uncertainty about the source activity. Experimental results are reported for an implementation in a generalized sidelobe canceller (GSC) like spatial beamforming configuration for 3 speech sources with significant coherent noise in reverberant environments, demonstrating the usefulness of the novel modeling framework.","lang":"eng"}],"type":"conference","publication":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-2.pdf"}],"doi":"10.1109/ICASSP.2010.5495994","title":"Blind speech separation employing directional statistics in an Expectation Maximization framework","author":[{"full_name":"Tran Vu, Dang Hai","last_name":"Tran Vu","first_name":"Dang Hai"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"date_created":"2019-07-12T05:30:40Z","date_updated":"2022-01-06T06:51:12Z","oa":"1","citation":{"ama":"Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics in an Expectation Maximization framework. In: <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>. ; 2010:241-244. doi:<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>","chicago":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 241–44, 2010. <a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">https://doi.org/10.1109/ICASSP.2010.5495994</a>.","ieee":"D. H. Tran Vu and R. Haeb-Umbach, “Blind speech separation employing directional statistics in an Expectation Maximization framework,” in <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010, pp. 241–244.","apa":"Tran Vu, D. H., &#38; Haeb-Umbach, R. (2010). Blind speech separation employing directional statistics in an Expectation Maximization framework. In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i> (pp. 241–244). <a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">https://doi.org/10.1109/ICASSP.2010.5495994</a>","bibtex":"@inproceedings{Tran Vu_Haeb-Umbach_2010, title={Blind speech separation employing directional statistics in an Expectation Maximization framework}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2010}, pages={241–244} }","short":"D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.","mla":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010, pp. 241–44, doi:<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>."},"page":"241-244","year":"2010"},{"keyword":["System testing","Automatic testing","Object oriented modeling","Classification tree analysis","Automotive engineering","Mathematical model","Embedded system","Control systems","Electronic equipment testing","Software testing"],"language":[{"iso":"eng"}],"_id":"37037","department":[{"_id":"672"}],"user_id":"5786","abstract":[{"text":"Today we can identify a big gap between requirement specification and the generation of test environments. This article extends the Classification Tree Method for Embedded Systems (CTM/ES) to fill this gap by new concepts for the precise specification of stimuli for operational ranges of continuous control systems. It introduces novel means for continuous acceptance criteria definition and for functional coverage definition.","lang":"eng"}],"status":"public","publication":"Proceedings of DATE’10","type":"conference","title":"A Systematic Approach to Combined HW/SW System Test","doi":"10.1109/DATE.2010.5457186","conference":{"location":"Dresden","name":"Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)"},"date_updated":"2023-01-17T10:41:25Z","publisher":"IEEE","author":[{"last_name":"Krupp","full_name":"Krupp, Alexander","first_name":"Alexander"},{"id":"16243","full_name":"Müller, Wolfgang","last_name":"Müller","first_name":"Wolfgang"}],"date_created":"2023-01-17T10:41:15Z","year":"2010","place":"Dresden","citation":{"ieee":"A. Krupp and W. Müller, “A Systematic Approach to Combined HW/SW System Test,” presented at the Design, Automation &#38; Test in Europe Conference &#38; Exhibition (DATE 2010), Dresden, 2010, doi: <a href=\"https://doi.org/10.1109/DATE.2010.5457186\">10.1109/DATE.2010.5457186</a>.","chicago":"Krupp, Alexander, and Wolfgang Müller. “A Systematic Approach to Combined HW/SW System Test.” In <i>Proceedings of DATE’10</i>. Dresden: IEEE, 2010. <a href=\"https://doi.org/10.1109/DATE.2010.5457186\">https://doi.org/10.1109/DATE.2010.5457186</a>.","ama":"Krupp A, Müller W. A Systematic Approach to Combined HW/SW System Test. In: <i>Proceedings of DATE’10</i>. IEEE; 2010. doi:<a href=\"https://doi.org/10.1109/DATE.2010.5457186\">10.1109/DATE.2010.5457186</a>","bibtex":"@inproceedings{Krupp_Müller_2010, place={Dresden}, title={A Systematic Approach to Combined HW/SW System Test}, DOI={<a href=\"https://doi.org/10.1109/DATE.2010.5457186\">10.1109/DATE.2010.5457186</a>}, booktitle={Proceedings of DATE’10}, publisher={IEEE}, author={Krupp, Alexander and Müller, Wolfgang}, year={2010} }","mla":"Krupp, Alexander, and Wolfgang Müller. “A Systematic Approach to Combined HW/SW System Test.” <i>Proceedings of DATE’10</i>, IEEE, 2010, doi:<a href=\"https://doi.org/10.1109/DATE.2010.5457186\">10.1109/DATE.2010.5457186</a>.","short":"A. Krupp, W. Müller, in: Proceedings of DATE’10, IEEE, Dresden, 2010.","apa":"Krupp, A., &#38; Müller, W. (2010). A Systematic Approach to Combined HW/SW System Test. <i>Proceedings of DATE’10</i>. Design, Automation &#38; Test in Europe Conference &#38; Exhibition (DATE 2010), Dresden. <a href=\"https://doi.org/10.1109/DATE.2010.5457186\">https://doi.org/10.1109/DATE.2010.5457186</a>"}},{"publication":"Proceedings of SIES 2010","type":"conference","status":"public","abstract":[{"text":"Many heterogeneous embedded systems, for example industrial automation and automotive applications, require hard-real time constraints to be exhaustively verified - which is a challenging task for the verification engineer. To cope with complexity, verification techniques working on different abstraction levels are best practice. SystemC is a versatile C++ based design and verification language, offering various mechanisms and constructs required for embedded systems modeling. Using the add-on SystemC Verification Library (SCV) elemental constrained-random stimuli techniques may be used for verification. However, SCV has several drawbacks such as lack of functional coverage. In this paper we present a functional coverage library that implements parts of the IEEE 1800-2005 SystemVerilog standard and allows capturing functional coverage throughout the design and verification process with SystemC. Moreover, we will demonstrate the usability of the approach with a case study working on a CAN bus model written in SystemC.","lang":"eng"}],"department":[{"_id":"672"}],"user_id":"5786","_id":"37057","language":[{"iso":"eng"}],"keyword":["Libraries","Generators","Transfer functions","Monitoring","Computational modeling","Driver circuits","Adaptation model"],"publication_identifier":{"eisbn":["978-1-4244-5841-7"]},"citation":{"apa":"Defo, G. B., Müller, W., &#38; Kuznik, C. (2010). Verification of a CAN Bus Model in SystemC with Functional Coverage. <i>Proceedings of SIES 2010</i>. International Symposium on Industrial Embedded System (SIES),  Trento, Italy. <a href=\"https://doi.org/10.1109/SIES.2010.5551379\">https://doi.org/10.1109/SIES.2010.5551379</a>","short":"G.B. Defo, W. Müller, C. Kuznik, in: Proceedings of SIES 2010, IEEE,  Trento, Italy, 2010.","bibtex":"@inproceedings{Defo_Müller_Kuznik_2010, place={ Trento, Italy}, title={Verification of a CAN Bus Model in SystemC with Functional Coverage}, DOI={<a href=\"https://doi.org/10.1109/SIES.2010.5551379\">10.1109/SIES.2010.5551379</a>}, booktitle={Proceedings of SIES 2010}, publisher={IEEE}, author={Defo, Gilles B. and Müller, Wolfgang and Kuznik, Christoph}, year={2010} }","mla":"Defo, Gilles B., et al. “Verification of a CAN Bus Model in SystemC with Functional Coverage.” <i>Proceedings of SIES 2010</i>, IEEE, 2010, doi:<a href=\"https://doi.org/10.1109/SIES.2010.5551379\">10.1109/SIES.2010.5551379</a>.","chicago":"Defo, Gilles B., Wolfgang Müller, and Christoph Kuznik. “Verification of a CAN Bus Model in SystemC with Functional Coverage.” In <i>Proceedings of SIES 2010</i>.  Trento, Italy: IEEE, 2010. <a href=\"https://doi.org/10.1109/SIES.2010.5551379\">https://doi.org/10.1109/SIES.2010.5551379</a>.","ieee":"G. B. Defo, W. Müller, and C. Kuznik, “Verification of a CAN Bus Model in SystemC with Functional Coverage,” presented at the International Symposium on Industrial Embedded System (SIES),  Trento, Italy, 2010, doi: <a href=\"https://doi.org/10.1109/SIES.2010.5551379\">10.1109/SIES.2010.5551379</a>.","ama":"Defo GB, Müller W, Kuznik C. Verification of a CAN Bus Model in SystemC with Functional Coverage. In: <i>Proceedings of SIES 2010</i>. IEEE; 2010. doi:<a href=\"https://doi.org/10.1109/SIES.2010.5551379\">10.1109/SIES.2010.5551379</a>"},"place":" Trento, Italy","year":"2010","date_created":"2023-01-17T11:34:56Z","author":[{"last_name":"Defo","full_name":"Defo, Gilles B.","first_name":"Gilles B."},{"first_name":"Wolfgang","id":"16243","full_name":"Müller, Wolfgang","last_name":"Müller"},{"first_name":"Christoph","last_name":"Kuznik","full_name":"Kuznik, Christoph"}],"publisher":"IEEE","date_updated":"2023-01-17T11:35:03Z","conference":{"location":" Trento, Italy","name":"International Symposium on Industrial Embedded System (SIES)"},"doi":"10.1109/SIES.2010.5551379","title":"Verification of a CAN Bus Model in SystemC with Functional Coverage"},{"page":"235-242","citation":{"short":"M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: 6th Workshop on Positioning Navigation and Communication (WPNC 2009), 2009, pp. 235–242.","bibtex":"@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Robust vehicle localization based on multi-level sensor fusion and online parameter estimation}, DOI={<a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">10.1109/WPNC.2009.4907833</a>}, booktitle={6th Workshop on Positioning Navigation and Communication (WPNC 2009)}, author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009}, pages={235–242} }","mla":"Bevermeier, Maik, et al. “Robust Vehicle Localization Based on Multi-Level Sensor Fusion and Online Parameter Estimation.” <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009, pp. 235–42, doi:<a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">10.1109/WPNC.2009.4907833</a>.","apa":"Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Robust vehicle localization based on multi-level sensor fusion and online parameter estimation. In <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i> (pp. 235–242). <a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">https://doi.org/10.1109/WPNC.2009.4907833</a>","ieee":"M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Robust vehicle localization based on multi-level sensor fusion and online parameter estimation,” in <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 2009, pp. 235–242.","chicago":"Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Robust Vehicle Localization Based on Multi-Level Sensor Fusion and Online Parameter Estimation.” In <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>, 235–42, 2009. <a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">https://doi.org/10.1109/WPNC.2009.4907833</a>.","ama":"Bevermeier M, Peschke S, Haeb-Umbach R. Robust vehicle localization based on multi-level sensor fusion and online parameter estimation. In: <i>6th Workshop on Positioning Navigation and Communication (WPNC 2009)</i>. ; 2009:235-242. doi:<a href=\"https://doi.org/10.1109/WPNC.2009.4907833\">10.1109/WPNC.2009.4907833</a>"},"year":"2009","date_created":"2019-07-12T05:27:01Z","author":[{"first_name":"Maik","last_name":"Bevermeier","full_name":"Bevermeier, Maik"},{"first_name":"Sven","full_name":"Peschke, Sven","last_name":"Peschke"},{"last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242","first_name":"Reinhold"}],"date_updated":"2022-01-06T06:51:07Z","oa":"1","doi":"10.1109/WPNC.2009.4907833","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09.pdf"}],"title":"Robust vehicle localization based on multi-level sensor fusion and online parameter estimation","publication":"6th Workshop on Positioning Navigation and Communication (WPNC 2009)","type":"conference","status":"public","abstract":[{"text":"In this paper we present a novel vehicle tracking algorithm, which is based on multi-level sensor fusion of GPS (global positioning system) with Inertial Measurement Unit sensor data. It is shown that the robustness of the system to temporary dropouts of the GPS signal, which may occur due to limited visibility of satellites in narrow street canyons or tunnels, is greatly improved by sensor fusion. We further demonstrate how the observation and state noise covariances of the employed Kalman filters can be estimated alongside the filtering by an application of the Expectation-Maximization algorithm. The proposed time-variant multi-level Kalman filter is shown to outperform an Interacting Multiple Model approach while at the same time being computationally less demanding.","lang":"eng"}],"department":[{"_id":"54"}],"user_id":"44006","_id":"11723","language":[{"iso":"eng"}],"keyword":["covariance matrices","expectation-maximisation algorithm","expectation-maximization algorithm","global positioning system","Global Positioning System","GPS","inertial measurement unit","interacting multiple model approach","Kalman filters","multilevel sensor fusion","narrow street canyons","narrow tunnels","online parameter estimation","parameter estimation","road vehicles","robust vehicle localization","sensor fusion","state noise covariances","time-variant multilevel Kalman filter","vehicle tracking algorithm"]},{"status":"public","abstract":[{"lang":"eng","text":"In this paper we present a novel vehicle tracking method which is based on multi-stage Kalman filtering of GPS and IMU sensor data. After individual Kalman filtering of GPS and IMU measurements the estimates of the orientation of the vehicle are combined in an optimal manner to improve the robustness towards drift errors. The tracking algorithm incorporates the estimation of time-variant covariance parameters by using an iterative block Expectation-Maximization algorithm to account for time-variant driving conditions and measurement quality. The proposed system is compared to an interacting multiple model approach (IMM) and achieves improved localization accuracy at lower computational complexity. Furthermore we show how the joint parameter estimation and localizaiton can be conducted with streaming input data to be able to track vehicles in a real driving environment."}],"publication":"IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)","type":"conference","language":[{"iso":"eng"}],"keyword":["computational complexity","expectation-maximisation algorithm","Global Positioning System","inertial measurement unit","inertial navigation","interacting multiple model","iterative block expectation-maximization algorithm","Kalman filters","multi-stage Kalman filter","parameter estimation","road vehicles","vehicle positioning","vehicle tracking"],"department":[{"_id":"54"}],"user_id":"44006","_id":"11724","page":"1-5","citation":{"bibtex":"@inproceedings{Bevermeier_Peschke_Haeb-Umbach_2009, title={Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning}, DOI={<a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">10.1109/VETECS.2009.5073634</a>}, booktitle={IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)}, author={Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}, year={2009}, pages={1–5} }","short":"M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), 2009, pp. 1–5.","mla":"Bevermeier, Maik, et al. “Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.” <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 2009, pp. 1–5, doi:<a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">10.1109/VETECS.2009.5073634</a>.","apa":"Bevermeier, M., Peschke, S., &#38; Haeb-Umbach, R. (2009). Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning. In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i> (pp. 1–5). <a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">https://doi.org/10.1109/VETECS.2009.5073634</a>","ama":"Bevermeier M, Peschke S, Haeb-Umbach R. Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning. In: <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>. ; 2009:1-5. doi:<a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">10.1109/VETECS.2009.5073634</a>","chicago":"Bevermeier, Maik, Sven Peschke, and Reinhold Haeb-Umbach. “Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning.” In <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 1–5, 2009. <a href=\"https://doi.org/10.1109/VETECS.2009.5073634\">https://doi.org/10.1109/VETECS.2009.5073634</a>.","ieee":"M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning,” in <i>IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)</i>, 2009, pp. 1–5."},"year":"2009","doi":"10.1109/VETECS.2009.5073634","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/BePeHa09-1.pdf"}],"title":"Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning","date_created":"2019-07-12T05:27:02Z","author":[{"first_name":"Maik","full_name":"Bevermeier, Maik","last_name":"Bevermeier"},{"first_name":"Sven","full_name":"Peschke, Sven","last_name":"Peschke"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_updated":"2022-01-06T06:51:07Z","oa":"1"},{"title":"Approaches to Iterative Speech Feature Enhancement and Recognition","date_created":"2019-07-12T05:31:08Z","year":"2009","issue":"5","language":[{"iso":"eng"}],"keyword":["AURORA2 databases","AURORA4 databases","automatic speech recognition","feedback structures","hidden Markov models","HMM","iterative methods","iterative speech feature enhancement","model probabilities","speech decoding","speech enhancement","speech feature distribution","speech recognition","switching linear dynamic models"],"abstract":[{"text":"In automatic speech recognition, hidden Markov models (HMMs) are commonly used for speech decoding, while switching linear dynamic models (SLDMs) can be employed for a preceding model-based speech feature enhancement. In this paper, these model types are combined in order to obtain a novel iterative speech feature enhancement and recognition architecture. It is shown that speech feature enhancement with SLDMs can be improved by feeding back information from the HMM to the enhancement stage. Two different feedback structures are derived. In the first, the posteriors of the HMM states are used to control the model probabilities of the SLDMs, while in the second they are employed to directly influence the estimate of the speech feature distribution. Both approaches lead to improvements in recognition accuracy both on the AURORA2 and AURORA4 databases compared to non-iterative speech feature enhancement with SLDMs. It is also shown that a combination with uncertainty decoding further enhances performance.","lang":"eng"}],"publication":"IEEE Transactions on Audio, Speech, and Language Processing","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2009/WiHa09-1.pdf"}],"doi":"10.1109/TASL.2009.2014894","author":[{"first_name":"Stefan","last_name":"Windmann","full_name":"Windmann, Stefan"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"volume":17,"oa":"1","date_updated":"2022-01-06T06:51:12Z","citation":{"apa":"Windmann, S., &#38; Haeb-Umbach, R. (2009). Approaches to Iterative Speech Feature Enhancement and Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>17</i>(5), 974–984. <a href=\"https://doi.org/10.1109/TASL.2009.2014894\">https://doi.org/10.1109/TASL.2009.2014894</a>","mla":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Approaches to Iterative Speech Feature Enhancement and Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 17, no. 5, 2009, pp. 974–84, doi:<a href=\"https://doi.org/10.1109/TASL.2009.2014894\">10.1109/TASL.2009.2014894</a>.","short":"S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 974–984.","bibtex":"@article{Windmann_Haeb-Umbach_2009, title={Approaches to Iterative Speech Feature Enhancement and Recognition}, volume={17}, DOI={<a href=\"https://doi.org/10.1109/TASL.2009.2014894\">10.1109/TASL.2009.2014894</a>}, number={5}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2009}, pages={974–984} }","chicago":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Approaches to Iterative Speech Feature Enhancement and Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 17, no. 5 (2009): 974–84. <a href=\"https://doi.org/10.1109/TASL.2009.2014894\">https://doi.org/10.1109/TASL.2009.2014894</a>.","ieee":"S. Windmann and R. Haeb-Umbach, “Approaches to Iterative Speech Feature Enhancement and Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 17, no. 5, pp. 974–984, 2009.","ama":"Windmann S, Haeb-Umbach R. Approaches to Iterative Speech Feature Enhancement and Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2009;17(5):974-984. doi:<a href=\"https://doi.org/10.1109/TASL.2009.2014894\">10.1109/TASL.2009.2014894</a>"},"page":"974-984","intvolume":"        17","user_id":"44006","department":[{"_id":"54"}],"_id":"11937","status":"public","type":"journal_article"},{"keyword":["AURORA4 database","blockwise EM algorithm","covariance analysis","linear state model","noise covariance","noise-robust automatic speech recognition","noisy speech cepstra","offline training mode","parameter estimation","speech recognition","speech recognition equipment","speech recognizer","state-space methods","state-space model"],"language":[{"iso":"eng"}],"_id":"11938","user_id":"44006","department":[{"_id":"54"}],"abstract":[{"lang":"eng","text":"In this paper, parameter estimation of a state-space model of noise or noisy speech cepstra is investigated. A blockwise EM algorithm is derived for the estimation of the state and observation noise covariance from noise-only input data. It is supposed to be used during the offline training mode of a speech recognizer. Further a sequential online EM algorithm is developed to adapt the observation noise covariance on noisy speech cepstra at its input. The estimated parameters are then used in model-based speech feature enhancement for noise-robust automatic speech recognition. Experiments on the AURORA4 database lead to improved recognition results with a linear state model compared to the assumption of stationary noise."}],"status":"public","type":"journal_article","publication":"IEEE Transactions on Audio, Speech, and Language Processing","title":"Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2009/WiHa09-2.pdf","open_access":"1"}],"doi":"10.1109/TASL.2009.2023172","date_updated":"2022-01-06T06:51:12Z","oa":"1","date_created":"2019-07-12T05:31:09Z","author":[{"last_name":"Windmann","full_name":"Windmann, Stefan","first_name":"Stefan"},{"first_name":"Reinhold","id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach"}],"volume":17,"year":"2009","citation":{"apa":"Windmann, S., &#38; Haeb-Umbach, R. (2009). Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>17</i>(8), 1577–1590. <a href=\"https://doi.org/10.1109/TASL.2009.2023172\">https://doi.org/10.1109/TASL.2009.2023172</a>","short":"S. Windmann, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 17 (2009) 1577–1590.","mla":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 17, no. 8, 2009, pp. 1577–90, doi:<a href=\"https://doi.org/10.1109/TASL.2009.2023172\">10.1109/TASL.2009.2023172</a>.","bibtex":"@article{Windmann_Haeb-Umbach_2009, title={Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition}, volume={17}, DOI={<a href=\"https://doi.org/10.1109/TASL.2009.2023172\">10.1109/TASL.2009.2023172</a>}, number={8}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Windmann, Stefan and Haeb-Umbach, Reinhold}, year={2009}, pages={1577–1590} }","ieee":"S. Windmann and R. Haeb-Umbach, “Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 17, no. 8, pp. 1577–1590, 2009.","chicago":"Windmann, Stefan, and Reinhold Haeb-Umbach. “Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 17, no. 8 (2009): 1577–90. <a href=\"https://doi.org/10.1109/TASL.2009.2023172\">https://doi.org/10.1109/TASL.2009.2023172</a>.","ama":"Windmann S, Haeb-Umbach R. Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2009;17(8):1577-1590. doi:<a href=\"https://doi.org/10.1109/TASL.2009.2023172\">10.1109/TASL.2009.2023172</a>"},"intvolume":"        17","page":"1577-1590","issue":"8"},{"citation":{"ieee":"A.-L. Vollmer <i>et al.</i>, “People modify their tutoring behavior in robot-directed interaction for action learning,” in <i>Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning</i>, 2009, pp. 1–6, doi: <a href=\"https://doi.org/10.1109/DEVLRN.2009.5175516\">10.1109/DEVLRN.2009.5175516</a>.","chicago":"Vollmer, Anna-Lisa, Katrin Solveig Lohan, Kerstin Fischer, Yukie Nagai, Karola Pitsch, Jannik Fritsch, Katharina Rohlfing, and Britta Wrede. “People Modify Their Tutoring Behavior in Robot-Directed Interaction for Action Learning.” In <i>Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning</i>, 1–6. IEEE, 2009. <a href=\"https://doi.org/10.1109/DEVLRN.2009.5175516\">https://doi.org/10.1109/DEVLRN.2009.5175516</a>.","bibtex":"@inproceedings{Vollmer_Lohan_Fischer_Nagai_Pitsch_Fritsch_Rohlfing_Wrede_2009, title={People modify their tutoring behavior in robot-directed interaction for action learning}, DOI={<a href=\"https://doi.org/10.1109/DEVLRN.2009.5175516\">10.1109/DEVLRN.2009.5175516</a>}, booktitle={Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning}, publisher={IEEE}, author={Vollmer, Anna-Lisa and Lohan, Katrin Solveig and Fischer, Kerstin and Nagai, Yukie and Pitsch, Karola and Fritsch, Jannik and Rohlfing, Katharina and Wrede, Britta}, year={2009}, pages={1–6} }","mla":"Vollmer, Anna-Lisa, et al. “People Modify Their Tutoring Behavior in Robot-Directed Interaction for Action Learning.” <i>Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning</i>, IEEE, 2009, pp. 1–6, doi:<a href=\"https://doi.org/10.1109/DEVLRN.2009.5175516\">10.1109/DEVLRN.2009.5175516</a>.","short":"A.-L. Vollmer, K.S. Lohan, K. Fischer, Y. Nagai, K. Pitsch, J. Fritsch, K. Rohlfing, B. Wrede, in: Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, IEEE, 2009, pp. 1–6.","ama":"Vollmer A-L, Lohan KS, Fischer K, et al. People modify their tutoring behavior in robot-directed interaction for action learning. In: <i>Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning</i>. IEEE; 2009:1-6. doi:<a href=\"https://doi.org/10.1109/DEVLRN.2009.5175516\">10.1109/DEVLRN.2009.5175516</a>","apa":"Vollmer, A.-L., Lohan, K. S., Fischer, K., Nagai, Y., Pitsch, K., Fritsch, J., Rohlfing, K., &#38; Wrede, B. (2009). People modify their tutoring behavior in robot-directed interaction for action learning. <i>Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning</i>, 1–6. <a href=\"https://doi.org/10.1109/DEVLRN.2009.5175516\">https://doi.org/10.1109/DEVLRN.2009.5175516</a>"},"page":"1-6","year":"2009","doi":"10.1109/DEVLRN.2009.5175516","title":"People modify their tutoring behavior in robot-directed interaction for action learning","date_created":"2020-06-24T13:02:43Z","author":[{"full_name":"Vollmer, Anna-Lisa","last_name":"Vollmer","first_name":"Anna-Lisa"},{"full_name":"Lohan, Katrin Solveig","last_name":"Lohan","first_name":"Katrin Solveig"},{"full_name":"Fischer, Kerstin","last_name":"Fischer","first_name":"Kerstin"},{"last_name":"Nagai","full_name":"Nagai, Yukie","first_name":"Yukie"},{"full_name":"Pitsch, Karola","last_name":"Pitsch","first_name":"Karola"},{"last_name":"Fritsch","full_name":"Fritsch, Jannik","first_name":"Jannik"},{"first_name":"Katharina","last_name":"Rohlfing","id":"50352","full_name":"Rohlfing, Katharina"},{"first_name":"Britta","full_name":"Wrede, Britta","last_name":"Wrede"}],"date_updated":"2023-02-01T13:06:43Z","publisher":"IEEE","status":"public","abstract":[{"text":"In developmental research, tutoring behavior has been identified as scaffolding infants' learning processes. It has been defined in terms of child-directed speech (Motherese), child-directed motion (Motionese), and contingency. In the field of developmental robotics, research often assumes that in human-robot interaction (HRI), robots are treated similar to infants, because their immature cognitive capabilities benefit from this behavior. However, according to our knowledge, it has barely been studied whether this is true and how exactly humans alter their behavior towards a robotic interaction partner. In this paper, we present results concerning the acceptance of a robotic agent in a social learning scenario obtained via comparison to adults and 8-11 months old infants in equal conditions. These results constitute an important empirical basis for making use of tutoring behavior in social robotics. In our study, we performed a detailed multimodal analysis of HRI in a tutoring situation using the example of a robot simulation equipped with a bottom-up saliency-based attention model. Our results reveal significant differences in hand movement velocity, motion pauses, range of motion, and eye gaze suggesting that for example adults decrease their hand movement velocity in an Adult-Child Interaction (ACI), opposed to an Adult-Adult Interaction (AAI) and this decrease is even higher in the Adult-Robot Interaction (ARI). We also found important differences between ACI and ARI in how the behavior is modified over time as the interaction unfolds. These findings indicate the necessity of integrating top-down feedback structures into a bottom-up system for robots to be fully accepted as interaction partners.","lang":"eng"}],"type":"conference","publication":"Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning","language":[{"iso":"eng"}],"keyword":["robot simulation","hand movement velocity","robotic interaction partner","robotic agent","robot-directed interaction","multimodal analysis","Motionese","Motherese","intelligent tutoring systems","immature cognitive capability","human computer interaction","eye gaze","child-directed speech","child-directed motion","bottom-up system","bottom-up saliency-based attention model","adult-robot interaction","adult-child interaction","adult-adult interaction","human-robot interaction","action learning","social learning scenario","social robotics","software agents","top-down feedback structures","tutoring behavior"],"user_id":"14931","department":[{"_id":"749"}],"_id":"17272"},{"year":"2009","citation":{"mla":"Waechtler, Maria, et al. “Efficient Analysis of 51V Solid-State MAS NMR Spectra Using Genetic Algorithms.” <i>Solid State Nuclear Magnetic Resonance</i>, vol. 35, no. 1, 2009, pp. 37–48, doi:<a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">10.1016/j.ssnmr.2008.11.003</a>.","short":"M. Waechtler, A. Schweitzer, T. Gutmann, H. Breitzke, G. Buntkowsky, Solid State Nuclear Magnetic Resonance 35 (2009) 37–48.","bibtex":"@article{Waechtler_Schweitzer_Gutmann_Breitzke_Buntkowsky_2009, title={Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms}, volume={35}, DOI={<a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">10.1016/j.ssnmr.2008.11.003</a>}, number={1}, journal={Solid State Nuclear Magnetic Resonance}, author={Waechtler, Maria and Schweitzer, Annika and Gutmann, Torsten and Breitzke, Hergen and Buntkowsky, Gerd}, year={2009}, pages={37–48} }","apa":"Waechtler, M., Schweitzer, A., Gutmann, T., Breitzke, H., &#38; Buntkowsky, G. (2009). Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms. <i>Solid State Nuclear Magnetic Resonance</i>, <i>35</i>(1), 37–48. <a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">https://doi.org/10.1016/j.ssnmr.2008.11.003</a>","ama":"Waechtler M, Schweitzer A, Gutmann T, Breitzke H, Buntkowsky G. Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms. <i>Solid State Nuclear Magnetic Resonance</i>. 2009;35(1):37–48. doi:<a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">10.1016/j.ssnmr.2008.11.003</a>","chicago":"Waechtler, Maria, Annika Schweitzer, Torsten Gutmann, Hergen Breitzke, and Gerd Buntkowsky. “Efficient Analysis of 51V Solid-State MAS NMR Spectra Using Genetic Algorithms.” <i>Solid State Nuclear Magnetic Resonance</i> 35, no. 1 (2009): 37–48. <a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">https://doi.org/10.1016/j.ssnmr.2008.11.003</a>.","ieee":"M. Waechtler, A. Schweitzer, T. Gutmann, H. Breitzke, and G. Buntkowsky, “Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms,” <i>Solid State Nuclear Magnetic Resonance</i>, vol. 35, no. 1, pp. 37–48, 2009, doi: <a href=\"https://doi.org/10.1016/j.ssnmr.2008.11.003\">10.1016/j.ssnmr.2008.11.003</a>."},"page":"37–48","intvolume":"        35","issue":"1","title":"Efficient analysis of 51V solid-state MAS NMR spectra using genetic algorithms","doi":"10.1016/j.ssnmr.2008.11.003","date_updated":"2026-02-17T16:12:50Z","author":[{"last_name":"Waechtler","full_name":"Waechtler, Maria","first_name":"Maria"},{"first_name":"Annika","last_name":"Schweitzer","full_name":"Schweitzer, Annika"},{"id":"118165","full_name":"Gutmann, Torsten","last_name":"Gutmann","first_name":"Torsten"},{"first_name":"Hergen","full_name":"Breitzke, Hergen","last_name":"Breitzke"},{"last_name":"Buntkowsky","full_name":"Buntkowsky, Gerd","first_name":"Gerd"}],"date_created":"2026-02-07T16:15:57Z","volume":35,"abstract":[{"lang":"eng","text":"A program for iterative fitting procedures to determine the NMR parameters from 51V solid-state MAS NMR spectra was developed. It contains options to use genetic algorithms and downhill-simplex optimizing procedures to extract the optimal parameter sets, which describe our spectra. As computational kernel the SIMPSON program is employed. Other kernels like SPINEVOLUTION are easily incorporable. The algorithms are checked for their suitability for the present optimization problem and optimal simulation conditions are determined, with the focus on minimal processing time. The procedure leads to a very good agreement between experimental and simulated spectra in a passable period of time. First results for spectra of model compounds for the active site of vanadium haloperoxidases are presented."}],"status":"public","type":"journal_article","publication":"Solid State Nuclear Magnetic Resonance","keyword":["51V MAS NMR spectroscopy","Genetic algorithms","Iterative fitting procedures","Model complexes for vanadium haloperoxidases"],"extern":"1","language":[{"iso":"eng"}],"_id":"64055","user_id":"100715"},{"_id":"63951","user_id":"100715","keyword":["51V NMR","Cis-dioxovanadium (v) complex","Model system","Vanadate"],"extern":"1","language":[{"iso":"eng"}],"publication":"Solid State Nuclear Magnetic Resonance","type":"journal_article","abstract":[{"lang":"eng","text":"The parameters describing the quadrupolar and CSA interactions of 51V solid-state MAS NMR investigations of model complexes mimicking vanadoenzymes as well as vanadium containing catalysts and enzyme complexes are interpreted with respect to the chemical structure. The interpretation is based on the data of 15 vanadium complexes including two new complexes with previously unpublished data and 13 complexes with data previously published by us. Correlations between the chemical structure and the 51V solid-state NMR data of this class of compounds have been established. Especially for the isotropic chemical shift δ iso and the chemical shift anisotropy δ σ , correlations with specific structural features like the coordination number of the vanadium atom, the number of coordinating nitrogens, the number of oxygen atoms and the chemical surrounding of the complex could be established for these compounds. Moreover, quantitative correlations between the solid-state NMR parameters and specific bond angles and bond lengths have been obtained. Our results can be of particular interest for future investigations concerning the structure and the mode of action of related vanadoenzymes and vanadate protein assemblies, including the use of vanadate adducts as transition state analogs for phosphate metabolizing systems."}],"status":"public","date_updated":"2026-02-17T16:18:21Z","volume":36,"date_created":"2026-02-07T15:33:58Z","author":[{"last_name":"Fenn","full_name":"Fenn, Annika","first_name":"Annika"},{"first_name":"Maria","last_name":"Wächtler","full_name":"Wächtler, Maria"},{"last_name":"Gutmann","full_name":"Gutmann, Torsten","id":"118165","first_name":"Torsten"},{"last_name":"Breitzke","full_name":"Breitzke, Hergen","first_name":"Hergen"},{"full_name":"Buchholz, Axel","last_name":"Buchholz","first_name":"Axel"},{"last_name":"Lippold","full_name":"Lippold, Ines","first_name":"Ines"},{"full_name":"Plass, Winfried","last_name":"Plass","first_name":"Winfried"},{"first_name":"Gerd","full_name":"Buntkowsky, Gerd","last_name":"Buntkowsky"}],"title":"Correlations between 51V solid-state NMR parameters and chemical structure of vanadium (V) complexes as models for related metalloproteins and catalysts","doi":"10.1016/j.ssnmr.2009.11.003","issue":"4","year":"2009","page":"192–201","intvolume":"        36","citation":{"bibtex":"@article{Fenn_Wächtler_Gutmann_Breitzke_Buchholz_Lippold_Plass_Buntkowsky_2009, title={Correlations between 51V solid-state NMR parameters and chemical structure of vanadium (V) complexes as models for related metalloproteins and catalysts}, volume={36}, DOI={<a href=\"https://doi.org/10.1016/j.ssnmr.2009.11.003\">10.1016/j.ssnmr.2009.11.003</a>}, number={4}, journal={Solid State Nuclear Magnetic Resonance}, author={Fenn, Annika and Wächtler, Maria and Gutmann, Torsten and Breitzke, Hergen and Buchholz, Axel and Lippold, Ines and Plass, Winfried and Buntkowsky, Gerd}, year={2009}, pages={192–201} }","short":"A. Fenn, M. Wächtler, T. Gutmann, H. Breitzke, A. Buchholz, I. Lippold, W. Plass, G. Buntkowsky, Solid State Nuclear Magnetic Resonance 36 (2009) 192–201.","mla":"Fenn, Annika, et al. “Correlations between 51V Solid-State NMR Parameters and Chemical Structure of Vanadium (V) Complexes as Models for Related Metalloproteins and Catalysts.” <i>Solid State Nuclear Magnetic Resonance</i>, vol. 36, no. 4, 2009, pp. 192–201, doi:<a href=\"https://doi.org/10.1016/j.ssnmr.2009.11.003\">10.1016/j.ssnmr.2009.11.003</a>.","apa":"Fenn, A., Wächtler, M., Gutmann, T., Breitzke, H., Buchholz, A., Lippold, I., Plass, W., &#38; Buntkowsky, G. (2009). Correlations between 51V solid-state NMR parameters and chemical structure of vanadium (V) complexes as models for related metalloproteins and catalysts. <i>Solid State Nuclear Magnetic Resonance</i>, <i>36</i>(4), 192–201. <a href=\"https://doi.org/10.1016/j.ssnmr.2009.11.003\">https://doi.org/10.1016/j.ssnmr.2009.11.003</a>","ieee":"A. Fenn <i>et al.</i>, “Correlations between 51V solid-state NMR parameters and chemical structure of vanadium (V) complexes as models for related metalloproteins and catalysts,” <i>Solid State Nuclear Magnetic Resonance</i>, vol. 36, no. 4, pp. 192–201, 2009, doi: <a href=\"https://doi.org/10.1016/j.ssnmr.2009.11.003\">10.1016/j.ssnmr.2009.11.003</a>.","chicago":"Fenn, Annika, Maria Wächtler, Torsten Gutmann, Hergen Breitzke, Axel Buchholz, Ines Lippold, Winfried Plass, and Gerd Buntkowsky. “Correlations between 51V Solid-State NMR Parameters and Chemical Structure of Vanadium (V) Complexes as Models for Related Metalloproteins and Catalysts.” <i>Solid State Nuclear Magnetic Resonance</i> 36, no. 4 (2009): 192–201. <a href=\"https://doi.org/10.1016/j.ssnmr.2009.11.003\">https://doi.org/10.1016/j.ssnmr.2009.11.003</a>.","ama":"Fenn A, Wächtler M, Gutmann T, et al. Correlations between 51V solid-state NMR parameters and chemical structure of vanadium (V) complexes as models for related metalloproteins and catalysts. <i>Solid State Nuclear Magnetic Resonance</i>. 2009;36(4):192–201. doi:<a href=\"https://doi.org/10.1016/j.ssnmr.2009.11.003\">10.1016/j.ssnmr.2009.11.003</a>"}},{"publication":"IEEE Transactions on Audio, Speech, and Language Processing","type":"journal_article","abstract":[{"text":"In this paper, we derive an uncertainty decoding rule for automatic speech recognition (ASR), which accounts for both corrupted observations and inter-frame correlation. The conditional independence assumption, prevalent in hidden Markov model-based ASR, is relaxed to obtain a clean speech posterior that is conditioned on the complete observed feature vector sequence. This is a more informative posterior than one conditioned only on the current observation. The novel decoding is used to obtain a transmission-error robust remote ASR system, where the speech capturing unit is connected to the decoder via an error-prone communication network. We show how the clean speech posterior can be computed for communication links being characterized by either bit errors or packet loss. Recognition results are presented for both distributed and network speech recognition, where in the latter case common voice-over-IP codecs are employed.","lang":"eng"}],"status":"public","_id":"11820","department":[{"_id":"54"}],"user_id":"44006","keyword":["automatic speech recognition","bit errors","codecs","communication links","corrupted observations","decoding","distributed speech recognition","error-prone communication network","feature vector sequence","hidden Markov model-based ASR","hidden Markov models","inter-frame correlation","Internet telephony","network speech recognition","packet loss","speech posterior","speech recognition","transmission error robust speech recognition","uncertainty decoding","voice-over-IP codecs"],"language":[{"iso":"eng"}],"issue":"5","year":"2008","intvolume":"        16","page":"1047-1060","citation":{"mla":"Ion, Valentin, and Reinhold Haeb-Umbach. “A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 16, no. 5, 2008, pp. 1047–60, doi:<a href=\"https://doi.org/10.1109/TASL.2008.925879\">10.1109/TASL.2008.925879</a>.","short":"V. Ion, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 16 (2008) 1047–1060.","bibtex":"@article{Ion_Haeb-Umbach_2008, title={A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition}, volume={16}, DOI={<a href=\"https://doi.org/10.1109/TASL.2008.925879\">10.1109/TASL.2008.925879</a>}, number={5}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Ion, Valentin and Haeb-Umbach, Reinhold}, year={2008}, pages={1047–1060} }","apa":"Ion, V., &#38; Haeb-Umbach, R. (2008). A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, <i>16</i>(5), 1047–1060. <a href=\"https://doi.org/10.1109/TASL.2008.925879\">https://doi.org/10.1109/TASL.2008.925879</a>","ama":"Ion V, Haeb-Umbach R. A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition. <i>IEEE Transactions on Audio, Speech, and Language Processing</i>. 2008;16(5):1047-1060. doi:<a href=\"https://doi.org/10.1109/TASL.2008.925879\">10.1109/TASL.2008.925879</a>","ieee":"V. Ion and R. Haeb-Umbach, “A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition,” <i>IEEE Transactions on Audio, Speech, and Language Processing</i>, vol. 16, no. 5, pp. 1047–1060, 2008.","chicago":"Ion, Valentin, and Reinhold Haeb-Umbach. “A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition.” <i>IEEE Transactions on Audio, Speech, and Language Processing</i> 16, no. 5 (2008): 1047–60. <a href=\"https://doi.org/10.1109/TASL.2008.925879\">https://doi.org/10.1109/TASL.2008.925879</a>."},"oa":"1","date_updated":"2022-01-06T06:51:10Z","volume":16,"author":[{"first_name":"Valentin","last_name":"Ion","full_name":"Ion, Valentin"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_created":"2019-07-12T05:28:53Z","title":"A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition","doi":"10.1109/TASL.2008.925879","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2008/IoHa08-1.pdf","open_access":"1"}]},{"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":{"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>.","short":"S. Windmann, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2008), 2008, pp. 4409–4412.","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>","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>","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."},"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","author":[{"first_name":"Stefan","last_name":"Windmann","full_name":"Windmann, Stefan"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"date_created":"2019-07-12T05:31:11Z"}]