[{"type":"bachelorsthesis","department":[{"_id":"78"}],"date_created":"2019-07-10T11:58:05Z","citation":{"bibtex":"@book{Rüthing_2014, title={The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores}, publisher={Paderborn University}, author={Rüthing, Christoph}, year={2014} }","ama":"Rüthing C. <i>The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores</i>. Paderborn University; 2014.","mla":"Rüthing, Christoph. <i>The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores</i>. Paderborn University, 2014.","chicago":"Rüthing, Christoph. <i>The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores</i>. Paderborn University, 2014.","short":"C. Rüthing, The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores, Paderborn University, 2014.","ieee":"C. Rüthing, <i>The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores</i>. Paderborn University, 2014.","apa":"Rüthing, C. (2014). <i>The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores</i>. Paderborn University."},"user_id":"3118","_id":"10732","language":[{"iso":"eng"}],"publisher":"Paderborn University","date_updated":"2022-01-06T06:50:50Z","status":"public","year":"2014","title":"The Xilinx Zynq Architecture as a Platform for Reconfigurable Heterogeneous Multi-Cores","author":[{"full_name":"Rüthing, Christoph","first_name":"Christoph","last_name":"Rüthing"}]},{"place":"Berlin","date_created":"2019-07-10T11:58:06Z","department":[{"_id":"78"}],"type":"dissertation","supervisor":[{"first_name":"Marco","last_name":"Platzner","full_name":"Platzner, Marco","id":"398"}],"citation":{"chicago":"Schäfers, Lars. <i>Parallel Monte-Carlo Tree Search for HPC Systems and Its Application to Computer Go</i>. Berlin: Logos Verlag Berlin GmbH, 2014.","short":"L. Schäfers, Parallel Monte-Carlo Tree Search for HPC Systems and Its Application to Computer Go, Logos Verlag Berlin GmbH, Berlin, 2014.","apa":"Schäfers, L. (2014). <i>Parallel Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go</i>. Berlin: Logos Verlag Berlin GmbH.","ieee":"L. Schäfers, <i>Parallel Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go</i>. Berlin: Logos Verlag Berlin GmbH, 2014.","ama":"Schäfers L. <i>Parallel Monte-Carlo Tree Search for HPC Systems and Its Application to Computer Go</i>. Berlin: Logos Verlag Berlin GmbH; 2014.","bibtex":"@book{Schäfers_2014, place={Berlin}, title={Parallel Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go}, publisher={Logos Verlag Berlin GmbH}, author={Schäfers, Lars}, year={2014} }","mla":"Schäfers, Lars. <i>Parallel Monte-Carlo Tree Search for HPC Systems and Its Application to Computer Go</i>. Logos Verlag Berlin GmbH, 2014."},"abstract":[{"text":"Monte-Carlo Tree Search (MCTS) is a class of simulation-based search algorithms. It brought about great success in the past few years regarding the evaluation of deterministic two-player games such as the Asian board game Go.\r\n\r\nIn this thesis, we present a parallelization of the most popular MCTS variant for large HPC compute clusters that efficiently shares a single game tree representation in a distributed memory environment and scales up to 128 compute nodes and 2048 cores. It is hereby one of the most powerful MCTS parallelizations to date.\r\n\r\nIn order to measure the impact of our parallelization on the search quality and remain comparable to the most advanced MCTS implementations to date, we implemented it in a state-of-the-art Go engine Gomorra, making it competitive with the strongest Go programs in the world.\r\n\r\nWe further present an empirical comparison of different Bayesian ranking systems when being used for predicting expert moves for the game of Go and introduce a novel technique for automated detection and analysis of evaluation uncertainties that show up during MCTS searches.","lang":"eng"}],"_id":"10733","language":[{"iso":"eng"}],"publisher":"Logos Verlag Berlin GmbH","page":"133","user_id":"3118","author":[{"full_name":"Schäfers, Lars","first_name":"Lars","last_name":"Schäfers"}],"publication_identifier":{"isbn":["978-3-8325-3748-7"]},"year":"2014","title":"Parallel Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go","status":"public","date_updated":"2022-01-06T06:50:50Z","publication_status":"published"},{"user_id":"3118","_id":"10738","date_updated":"2022-01-06T06:50:50Z","title":"Optimizing the Generator Start-up Sequence After a Power System Blackout","year":"2014","status":"public","author":[{"first_name":"Cong","last_name":"Shen","full_name":"Shen, Cong"},{"first_name":"Paul","last_name":"Kaufmann","full_name":"Kaufmann, Paul"},{"full_name":"Braun, Martin","first_name":"Martin","last_name":"Braun"}],"type":"conference","department":[{"_id":"78"}],"date_created":"2019-07-10T11:59:36Z","publication":"IEEE Power and Energy Society General Meeting (IEEE GM)","citation":{"mla":"Shen, Cong, et al. “Optimizing the Generator Start-up Sequence After a Power System Blackout.” <i>IEEE Power and Energy Society General Meeting (IEEE GM)</i>, 2014.","bibtex":"@inproceedings{Shen_Kaufmann_Braun_2014, title={Optimizing the Generator Start-up Sequence After a Power System Blackout}, booktitle={IEEE Power and Energy Society General Meeting (IEEE GM)}, author={Shen, Cong and Kaufmann, Paul and Braun, Martin}, year={2014} }","ama":"Shen C, Kaufmann P, Braun M. Optimizing the Generator Start-up Sequence After a Power System Blackout. In: <i>IEEE Power and Energy Society General Meeting (IEEE GM)</i>. ; 2014.","ieee":"C. Shen, P. Kaufmann, and M. Braun, “Optimizing the Generator Start-up Sequence After a Power System Blackout,” in <i>IEEE Power and Energy Society General Meeting (IEEE GM)</i>, 2014.","apa":"Shen, C., Kaufmann, P., &#38; Braun, M. (2014). Optimizing the Generator Start-up Sequence After a Power System Blackout. In <i>IEEE Power and Energy Society General Meeting (IEEE GM)</i>.","short":"C. Shen, P. Kaufmann, M. Braun, in: IEEE Power and Energy Society General Meeting (IEEE GM), 2014.","chicago":"Shen, Cong, Paul Kaufmann, and Martin Braun. “Optimizing the Generator Start-up Sequence After a Power System Blackout.” In <i>IEEE Power and Energy Society General Meeting (IEEE GM)</i>, 2014."}},{"publication":"Power Systems Computation Conference (PSCC)","citation":{"ieee":"C. Shen, P. Kaufmann, and M. Braun, “A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm,” in <i>Power Systems Computation Conference (PSCC)</i>, 2014.","apa":"Shen, C., Kaufmann, P., &#38; Braun, M. (2014). A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm. In <i>Power Systems Computation Conference (PSCC)</i>. IEEE.","short":"C. Shen, P. Kaufmann, M. Braun, in: Power Systems Computation Conference (PSCC), IEEE, 2014.","chicago":"Shen, Cong, Paul Kaufmann, and Martin Braun. “A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm.” In <i>Power Systems Computation Conference (PSCC)</i>. IEEE, 2014.","mla":"Shen, Cong, et al. “A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm.” <i>Power Systems Computation Conference (PSCC)</i>, IEEE, 2014.","bibtex":"@inproceedings{Shen_Kaufmann_Braun_2014, title={A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm}, booktitle={Power Systems Computation Conference (PSCC)}, publisher={IEEE}, author={Shen, Cong and Kaufmann, Paul and Braun, Martin}, year={2014} }","ama":"Shen C, Kaufmann P, Braun M. A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm. In: <i>Power Systems Computation Conference (PSCC)</i>. IEEE; 2014."},"date_created":"2019-07-10T11:59:37Z","type":"conference","department":[{"_id":"78"}],"status":"public","title":"A New Distribution Network Reconfiguration and Restoration Path Selection Algorithm","year":"2014","author":[{"full_name":"Shen, Cong","first_name":"Cong","last_name":"Shen"},{"last_name":"Kaufmann","first_name":"Paul","full_name":"Kaufmann, Paul"},{"last_name":"Braun","first_name":"Martin","full_name":"Braun, Martin"}],"date_updated":"2022-01-06T06:50:50Z","publisher":"IEEE","_id":"10739","user_id":"3118"},{"_id":"10744","publisher":"Paderborn University","language":[{"iso":"eng"}],"user_id":"3118","title":"Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA","year":"2014","status":"public","author":[{"full_name":"Surmund, Sebastian","first_name":"Sebastian","last_name":"Surmund"}],"date_updated":"2022-01-06T06:50:50Z","date_created":"2019-07-10T12:00:45Z","type":"mastersthesis","department":[{"_id":"78"}],"supervisor":[{"id":"398","full_name":"Platzner, Marco","first_name":"Marco","last_name":"Platzner"}],"citation":{"bibtex":"@book{Surmund_2014, title={Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA}, publisher={Paderborn University}, author={Surmund, Sebastian}, year={2014} }","ama":"Surmund S. <i>Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA</i>. Paderborn University; 2014.","mla":"Surmund, Sebastian. <i>Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA</i>. Paderborn University, 2014.","chicago":"Surmund, Sebastian. <i>Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA</i>. Paderborn University, 2014.","short":"S. Surmund, Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA, Paderborn University, 2014.","ieee":"S. Surmund, <i>Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA</i>. Paderborn University, 2014.","apa":"Surmund, S. (2014). <i>Multithreaded Parallelization of Mechatronic Controllers on a Zynq Platform FPGA</i>. Paderborn University."}},{"user_id":"3118","volume":8602,"_id":"10756","series_title":"Lecture Notes in Computer Science","publisher":"Springer","date_updated":"2022-01-06T06:50:50Z","intvolume":"      8602","year":"2014","title":"Applications of Evolutionary Computation - 17th European Conference, EvoApplications","status":"public","author":[{"last_name":"I. Esparcia-Alc{\\'a}zar","first_name":"Anna","full_name":"I. Esparcia-Alc{\\'a}zar, Anna"},{"first_name":"A.E.","last_name":"Eiben","full_name":"Eiben, A.E."},{"last_name":"Agapitos","first_name":"Alexandros","full_name":"Agapitos, Alexandros"},{"full_name":"Sim{\\~o}es, Anabela","first_name":"Anabela","last_name":"Sim{\\~o}es"},{"first_name":"Andrea","last_name":"G.B. Tettamanzi","full_name":"G.B. Tettamanzi, Andrea"},{"first_name":"Antonio","last_name":"Della Cioppa","full_name":"Della Cioppa, Antonio"},{"full_name":"M. Mora, Antonio","first_name":"Antonio","last_name":"M. Mora"},{"full_name":"Cotta, Carlos","last_name":"Cotta","first_name":"Carlos"},{"last_name":"Tarantino","first_name":"Ernesto","full_name":"Tarantino, Ernesto"},{"full_name":"Haasdijk, Evert","last_name":"Haasdijk","first_name":"Evert"},{"last_name":"Divina","first_name":"Federico","full_name":"Divina, Federico"},{"last_name":"Fern{\\'a}ndez de Vega","first_name":"Francisco","full_name":"Fern{\\'a}ndez de Vega, Francisco"},{"full_name":"Squillero, Giovanni","last_name":"Squillero","first_name":"Giovanni"},{"last_name":"De Falco","first_name":"Ivanoe","full_name":"De Falco, Ivanoe"},{"full_name":"Ignacio Hidalgo, J.","last_name":"Ignacio Hidalgo","first_name":"J."},{"full_name":"Sim, Kevin","last_name":"Sim","first_name":"Kevin"},{"full_name":"Glette, Kyrre","last_name":"Glette","first_name":"Kyrre"},{"full_name":"Zhang, Mengjie","first_name":"Mengjie","last_name":"Zhang"},{"last_name":"Urquhart","first_name":"Neil","full_name":"Urquhart, Neil"},{"full_name":"Burelli, Paolo","first_name":"Paolo","last_name":"Burelli"},{"full_name":"Kaufmann, Paul","last_name":"Kaufmann","first_name":"Paul"},{"full_name":"Po{\\v s}{\\'\\i}k, Petr","last_name":"Po{\\v s}{\\'\\i}k","first_name":"Petr"},{"full_name":"Schaefer, Robert","last_name":"Schaefer","first_name":"Robert"},{"last_name":"Drechsler","first_name":"Rolf","full_name":"Drechsler, Rolf"},{"full_name":"Antipolis, Sophia","last_name":"Antipolis","first_name":"Sophia"},{"first_name":"Stefano","last_name":"Cagnoni","full_name":"Cagnoni, Stefano"},{"full_name":"Thanh Nguyen, Trung","last_name":"Thanh Nguyen","first_name":"Trung"},{"last_name":"S. Bush (editors)","first_name":"William","full_name":"S. Bush (editors), William"}],"type":"book","department":[{"_id":"78"}],"place":"Granada, Spain","date_created":"2019-07-10T12:06:33Z","citation":{"apa":"I. Esparcia-Alc{\\’a}zar, A., Eiben, A. E., Agapitos, A., Sim{\\~o}es, A., G.B. Tettamanzi, A., Della Cioppa, A., … S. Bush (editors), W. (2014). <i>Applications of Evolutionary Computation - 17th European Conference, EvoApplications</i> (Vol. 8602). Granada, Spain: Springer.","ieee":"A. I. Esparcia-Alc{\\’a}zar <i>et al.</i>, <i>Applications of Evolutionary Computation - 17th European Conference, EvoApplications</i>, vol. 8602. Granada, Spain: Springer, 2014.","short":"A. I. Esparcia-Alc{\\’a}zar, A.E. Eiben, A. Agapitos, A. Sim{\\~o}es, A. G.B. Tettamanzi, A. Della Cioppa, A. M. Mora, C. Cotta, E. Tarantino, E. Haasdijk, F. Divina, F. Fern{\\’a}ndez de Vega, G. Squillero, I. De Falco, J. Ignacio Hidalgo, K. Sim, K. Glette, M. Zhang, N. Urquhart, P. Burelli, P. Kaufmann, P. Po{\\v s}{\\’\\i}k, R. Schaefer, R. Drechsler, S. Antipolis, S. Cagnoni, T. Thanh Nguyen, W. S. Bush (editors), Applications of Evolutionary Computation - 17th European Conference, EvoApplications, Springer, Granada, Spain, 2014.","chicago":"I. Esparcia-Alc{\\’a}zar, Anna, A.E. Eiben, Alexandros Agapitos, Anabela Sim{\\~o}es, Andrea G.B. Tettamanzi, Antonio Della Cioppa, Antonio M. Mora, et al. <i>Applications of Evolutionary Computation - 17th European Conference, EvoApplications</i>. Vol. 8602. Lecture Notes in Computer Science. Granada, Spain: Springer, 2014.","mla":"I. Esparcia-Alc{\\’a}zar, Anna, et al. <i>Applications of Evolutionary Computation - 17th European Conference, EvoApplications</i>. Vol. 8602, Springer, 2014.","ama":"I. Esparcia-Alc{\\’a}zar A, Eiben AE, Agapitos A, et al. <i>Applications of Evolutionary Computation - 17th European Conference, EvoApplications</i>. Vol 8602. Granada, Spain: Springer; 2014.","bibtex":"@book{I. Esparcia-Alc{\\’a}zar_Eiben_Agapitos_Sim{\\~o}es_G.B. Tettamanzi_Della Cioppa_M. Mora_Cotta_Tarantino_Haasdijk_et al._2014, place={Granada, Spain}, series={Lecture Notes in Computer Science}, title={Applications of Evolutionary Computation - 17th European Conference, EvoApplications}, volume={8602}, publisher={Springer}, author={I. Esparcia-Alc{\\’a}zar, Anna and Eiben, A.E. and Agapitos, Alexandros and Sim{\\~o}es, Anabela and G.B. Tettamanzi, Andrea and Della Cioppa, Antonio and M. Mora, Antonio and Cotta, Carlos and Tarantino, Ernesto and Haasdijk, Evert and et al.}, year={2014}, collection={Lecture Notes in Computer Science} }"}},{"date_created":"2019-07-10T12:07:05Z","department":[{"_id":"78"}],"type":"conference","citation":{"apa":"Anwer, J., &#38; Platzner, M. (2014). Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs. In <i>IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)</i> (pp. 177–184). IEEE. <a href=\"https://doi.org/10.1109/DFT.2014.6962108\">https://doi.org/10.1109/DFT.2014.6962108</a>","ieee":"J. Anwer and M. Platzner, “Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs,” in <i>IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)</i>, 2014, pp. 177–184.","short":"J. Anwer, M. Platzner, in: IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), IEEE, 2014, pp. 177–184.","chicago":"Anwer, Jahanzeb, and Marco Platzner. “Analytic Reliability Evaluation for Fault-Tolerant Circuit Structures on FPGAs.” In <i>IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)</i>, 177–84. IEEE, 2014. <a href=\"https://doi.org/10.1109/DFT.2014.6962108\">https://doi.org/10.1109/DFT.2014.6962108</a>.","mla":"Anwer, Jahanzeb, and Marco Platzner. “Analytic Reliability Evaluation for Fault-Tolerant Circuit Structures on FPGAs.” <i>IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)</i>, IEEE, 2014, pp. 177–84, doi:<a href=\"https://doi.org/10.1109/DFT.2014.6962108\">10.1109/DFT.2014.6962108</a>.","ama":"Anwer J, Platzner M. Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs. In: <i>IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)</i>. IEEE; 2014:177-184. doi:<a href=\"https://doi.org/10.1109/DFT.2014.6962108\">10.1109/DFT.2014.6962108</a>","bibtex":"@inproceedings{Anwer_Platzner_2014, title={Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs}, DOI={<a href=\"https://doi.org/10.1109/DFT.2014.6962108\">10.1109/DFT.2014.6962108</a>}, booktitle={IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)}, publisher={IEEE}, author={Anwer, Jahanzeb and Platzner, Marco}, year={2014}, pages={177–184} }"},"publication":"IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","_id":"10764","publisher":"IEEE","language":[{"iso":"eng"}],"page":"177-184","user_id":"398","doi":"10.1109/DFT.2014.6962108","author":[{"last_name":"Anwer","first_name":"Jahanzeb","full_name":"Anwer, Jahanzeb"},{"full_name":"Platzner, Marco","first_name":"Marco","last_name":"Platzner","id":"398"}],"status":"public","title":"Analytic reliability evaluation for fault-tolerant circuit structures on FPGAs","year":"2014","date_updated":"2022-01-06T06:50:50Z"},{"doi":"10.1109/NANOARCH.2014.6880479","user_id":"3118","_id":"10773","publisher":"IEEE","language":[{"iso":"eng"}],"page":"163-168","date_updated":"2022-01-06T06:50:50Z","author":[{"full_name":"Ghasemzadeh Mohammadi, Hassan","last_name":"Ghasemzadeh Mohammadi","first_name":"Hassan","id":"61186"},{"first_name":"Pierre-Emmanuel","last_name":"Gaillardon","full_name":"Gaillardon, Pierre-Emmanuel"},{"full_name":"Yazdani, Majid","first_name":"Majid","last_name":"Yazdani"},{"full_name":"De Micheli, Giovanni","last_name":"De Micheli","first_name":"Giovanni"}],"year":"2014","title":"Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection","status":"public","department":[{"_id":"78"}],"type":"conference","date_created":"2019-07-10T12:10:16Z","extern":"1","citation":{"bibtex":"@inproceedings{Ghasemzadeh Mohammadi_Gaillardon_Yazdani_De Micheli_2014, title={Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection}, DOI={<a href=\"https://doi.org/10.1109/NANOARCH.2014.6880479\">10.1109/NANOARCH.2014.6880479</a>}, booktitle={2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)}, publisher={IEEE}, author={Ghasemzadeh Mohammadi, Hassan and Gaillardon, Pierre-Emmanuel and Yazdani, Majid and De Micheli, Giovanni}, year={2014}, pages={163–168} }","chicago":"Ghasemzadeh Mohammadi, Hassan, Pierre-Emmanuel Gaillardon, Majid Yazdani, and Giovanni De Micheli. “Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection.” In <i>2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)</i>, 163–68. IEEE, 2014. <a href=\"https://doi.org/10.1109/NANOARCH.2014.6880479\">https://doi.org/10.1109/NANOARCH.2014.6880479</a>.","ama":"Ghasemzadeh Mohammadi H, Gaillardon P-E, Yazdani M, De Micheli G. Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection. In: <i>2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)</i>. IEEE; 2014:163-168. doi:<a href=\"https://doi.org/10.1109/NANOARCH.2014.6880479\">10.1109/NANOARCH.2014.6880479</a>","short":"H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, M. Yazdani, G. De Micheli, in: 2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), IEEE, 2014, pp. 163–168.","ieee":"H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, M. Yazdani, and G. De Micheli, “Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection,” in <i>2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)</i>, 2014, pp. 163–168.","apa":"Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., Yazdani, M., &#38; De Micheli, G. (2014). Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection. In <i>2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)</i> (pp. 163–168). IEEE. <a href=\"https://doi.org/10.1109/NANOARCH.2014.6880479\">https://doi.org/10.1109/NANOARCH.2014.6880479</a>","mla":"Ghasemzadeh Mohammadi, Hassan, et al. “Fast Process Variation Analysis in Nano-Scaled Technologies Using Column-Wise Sparse Parameter Selection.” <i>2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)</i>, IEEE, 2014, pp. 163–68, doi:<a href=\"https://doi.org/10.1109/NANOARCH.2014.6880479\">10.1109/NANOARCH.2014.6880479</a>."},"publication":"2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)"},{"date_updated":"2022-01-06T06:51:08Z","year":"2014","title":"Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR","status":"public","author":[{"full_name":"Chinaev, Aleksej","first_name":"Aleksej","last_name":"Chinaev"},{"last_name":"Puels","first_name":"Marc","full_name":"Puels, Marc"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"user_id":"44006","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2014/ChPuHa2014.pdf"}],"_id":"11746","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":" \"A method for nonstationary noise robust automatic speech recognition (ASR) is to first estimate the changing noise statistics and second clean up the features prior to recognition accordingly. Here, the first is accomplished by noise tracking in the spectral domain, while the second relies on Bayesian enhancement in the feature domain. In this way we take advantage of our recently proposed maximum a-posteriori based (MAP-B) noise power spectral density estimation algorithm, which is able to estimate the noise statistics even in time-frequency bins dominated by speech. We show that MAP-B noise tracking leads to an improved noise model estimate in the feature domain compared to estimating noise in speech absence periods only, if the bias resulting from the nonlinear transformation from the spectral to the feature domain is accounted for. Consequently, ASR results are improved, as is shown by experiments conducted on the Aurora IV database.\" "}],"related_material":{"link":[{"description":"Presentation","relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2014/ChPuHa2014_Talk.pdf"}]},"publication":"11. ITG Fachtagung Sprachkommunikation (ITG 2014)","citation":{"bibtex":"@inproceedings{Chinaev_Puels_Haeb-Umbach_2014, title={Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR}, booktitle={11. ITG Fachtagung Sprachkommunikation (ITG 2014)}, author={Chinaev, Aleksej and Puels, Marc and Haeb-Umbach, Reinhold}, year={2014} }","chicago":"Chinaev, Aleksej, Marc Puels, and Reinhold Haeb-Umbach. “Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR.” In <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>, 2014.","short":"A. Chinaev, M. Puels, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.","ama":"Chinaev A, Puels M, Haeb-Umbach R. Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR. In: <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>. ; 2014.","ieee":"A. Chinaev, M. Puels, and R. Haeb-Umbach, “Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR,” in <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>, 2014.","apa":"Chinaev, A., Puels, M., &#38; Haeb-Umbach, R. (2014). Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR. In <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>.","mla":"Chinaev, Aleksej, et al. “Spectral Noise Tracking for Improved Nonstationary Noise Robust ASR.” <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>, 2014."},"type":"conference","department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:27:27Z"},{"type":"conference","department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:27:34Z","abstract":[{"text":" \"In this contribution we derive a variational EM (VEM) algorithm for model selection in complex Watson mixture models, which have been recently proposed as a model of the distribution of normalized microphone array signals in the short-time Fourier transform domain. The VEM algorithm is applied to count the number of active sources in a speech mixture by iteratively estimating the mode vectors of the Watson distributions and suppressing the signals from the corresponding directions. A key theoretical contribution is the derivation of the MMSE estimate of a quadratic form involving the mode vector of the Watson distribution. The experimental results demonstrate the effectiveness of the source counting approach at moderately low SNR. It is further shown that the VEM algorithm is more robust w.r.t. used threshold values.\" ","lang":"eng"}],"related_material":{"link":[{"relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHa2014_Poster.pdf","description":"Poster"}]},"publication":"39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)","citation":{"ieee":"L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models,” in <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>, 2014.","mla":"Drude, Lukas, et al. “Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models.” <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>, 2014.","apa":"Drude, L., Chinaev, A., Tran Vu, D. H., &#38; Haeb-Umbach, R. (2014). Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models. In <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>.","bibtex":"@inproceedings{Drude_Chinaev_Tran Vu_Haeb-Umbach_2014, title={Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models}, booktitle={39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)}, author={Drude, Lukas and Chinaev, Aleksej and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2014} }","chicago":"Drude, Lukas, Aleksej Chinaev, Dang Hai Tran Vu, and Reinhold Haeb-Umbach. “Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models.” In <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>, 2014.","ama":"Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models. In: <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>. ; 2014.","short":"L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014."},"user_id":"44006","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHa2014.pdf","open_access":"1"}],"_id":"11752","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:08Z","status":"public","title":"Source Counting in Speech Mixtures Using a Variational EM Approach for Complexwatson Mixture Models","year":"2014","author":[{"full_name":"Drude, Lukas","last_name":"Drude","first_name":"Lukas","id":"11213"},{"full_name":"Chinaev, Aleksej","last_name":"Chinaev","first_name":"Aleksej"},{"first_name":"Dang Hai","last_name":"Tran Vu","full_name":"Tran Vu, Dang Hai"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}]},{"user_id":"44006","_id":"11753","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14.pdf","open_access":"1"}],"page":"213-217","date_updated":"2022-01-06T06:51:08Z","author":[{"id":"11213","full_name":"Drude, Lukas","first_name":"Lukas","last_name":"Drude"},{"first_name":"Aleksej","last_name":"Chinaev","full_name":"Chinaev, Aleksej"},{"first_name":"Dang Hai","last_name":"Tran Vu","full_name":"Tran Vu, Dang Hai"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"year":"2014","title":"Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models","status":"public","oa":"1","department":[{"_id":"54"}],"type":"conference","keyword":["Accuracy","Acoustics","Estimation","Mathematical model","Soruce separation","Speech","Vectors","Bayes methods","Blind source separation","Directional statistics","Number of speakers","Speaker diarization"],"date_created":"2019-07-12T05:27:35Z","related_material":{"link":[{"description":"Poster","url":"https://groups.uni-paderborn.de/nt/pubs/2014/DrChTrHaeb14_Poster.pdf","relation":"supplementary_material"}]},"abstract":[{"text":"This contribution describes a step-wise source counting algorithm to determine the number of speakers in an offline scenario. Each speaker is identified by a variational expectation maximization (VEM) algorithm for complex Watson mixture models and therefore directly yields beamforming vectors for a subsequent speech separation process. An observation selection criterion is proposed which improves the robustness of the source counting in noise. The algorithm is compared to an alternative VEM approach with Gaussian mixture models based on directions of arrival and shown to deliver improved source counting accuracy. The article concludes by extending the offline algorithm towards a low-latency online estimation of the number of active sources from the streaming input data.","lang":"eng"}],"citation":{"chicago":"Drude, Lukas, Aleksej Chinaev, Dang Hai Tran Vu, and Reinhold Haeb-Umbach. “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.” In <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>, 213–17, 2014.","short":"L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.","ieee":"L. Drude, A. Chinaev, D. H. Tran Vu, and R. Haeb-Umbach, “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models,” in <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>, 2014, pp. 213–217.","apa":"Drude, L., Chinaev, A., Tran Vu, D. H., &#38; Haeb-Umbach, R. (2014). Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i> (pp. 213–217).","bibtex":"@inproceedings{Drude_Chinaev_Tran Vu_Haeb-Umbach_2014, title={Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models}, booktitle={14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)}, author={Drude, Lukas and Chinaev, Aleksej and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2014}, pages={213–217} }","ama":"Drude L, Chinaev A, Tran Vu DH, Haeb-Umbach R. Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In: <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>. ; 2014:213-217.","mla":"Drude, Lukas, et al. “Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models.” <i>14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)</i>, 2014, pp. 213–17."},"publication":"14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014)"},{"date_created":"2019-07-12T05:28:46Z","department":[{"_id":"54"}],"oa":"1","type":"conference","citation":{"ieee":"J. Heymann, O. Walter, R. Haeb-Umbach, and B. Raj, “Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices,” in <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>, 2014.","apa":"Heymann, J., Walter, O., Haeb-Umbach, R., &#38; Raj, B. (2014). Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices. In <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>.","short":"J. Heymann, O. Walter, R. Haeb-Umbach, B. Raj, in: 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 2014.","chicago":"Heymann, Jahn, Oliver Walter, Reinhold Haeb-Umbach, and Bhiksha Raj. “Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices.” In <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>, 2014.","mla":"Heymann, Jahn, et al. “Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices.” <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>, 2014.","bibtex":"@inproceedings{Heymann_Walter_Haeb-Umbach_Raj_2014, title={Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices}, booktitle={39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)}, author={Heymann, Jahn and Walter, Oliver and Haeb-Umbach, Reinhold and Raj, Bhiksha}, year={2014} }","ama":"Heymann J, Walter O, Haeb-Umbach R, Raj B. Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices. In: <i>39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)</i>. ; 2014."},"publication":"39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)","abstract":[{"lang":"eng","text":" \"In this paper we present an algorithm for the unsupervised segmentation of a lattice produced by a phoneme recognizer into words. Using a lattice rather than a single phoneme string accounts for the uncertainty of the recognizer about the true label sequence. An example application is the discovery of lexical units from the output of an error-prone phoneme recognizer in a zero-resource setting, where neither the lexicon nor the language model (LM) is known. We propose a computationally efficient iterative approach, which alternates between the following two steps: First, the most probable string is extracted from the lattice using a phoneme LM learned on the segmentation result of the previous iteration. Second, word segmentation is performed on the extracted string using a word and phoneme LM which is learned alongside the new segmentation. We present results on lattices produced by a phoneme recognizer on the WSJCAM0 dataset. We show that our approach delivers superior segmentation performance than an earlier approach found in the literature, in particular for higher-order language models. \" "}],"related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2014/HeWaHa2014_Poster.pdf","relation":"supplementary_material","description":"Poster"}]},"language":[{"iso":"eng"}],"_id":"11814","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2014/HeWaHa2014.pdf"}],"user_id":"44006","author":[{"id":"9168","first_name":"Jahn","last_name":"Heymann","full_name":"Heymann, Jahn"},{"full_name":"Walter, Oliver","first_name":"Oliver","last_name":"Walter"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"},{"last_name":"Raj","first_name":"Bhiksha","full_name":"Raj, Bhiksha"}],"status":"public","year":"2014","title":"Iterative Bayesian Word Segmentation for Unspuervised Vocabulary Discovery from Phoneme Lattices","date_updated":"2022-01-06T06:51:09Z"},{"user_id":"44006","language":[{"iso":"eng"}],"_id":"11831","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2014/JaHa2014.pdf","open_access":"1"}],"date_updated":"2022-01-06T06:51:11Z","author":[{"full_name":"Jacob, Florian","first_name":"Florian","last_name":"Jacob"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"status":"public","year":"2014","title":"Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking","department":[{"_id":"54"}],"oa":"1","type":"conference","date_created":"2019-07-12T05:29:06Z","abstract":[{"lang":"eng","text":" \"Several self-localization algorithms have been proposed, that determine the positions of either acoustic or visual sensors autonomously. Usually these positions are given in a modality specific coordinate system, with an unknown rotation, translation and scale between the different systems. For a joint audiovisual tracking, where the different modalities support each other, the two modalities need to be mapped into a common coordinate system. In this paper we propose to estimate this mapping based on audiovisual correlates, i.e., a speaker that can be localized by both, a microphone and a camera network separately. The voice is tracked by a microphone network, which had to be calibrated by a self-localization algorithm at first, and the head is tracked by a calibrated camera network. Unlike existing Singular Value Decomposition based approaches to estimate the coordinate system mapping, we propose to perform an estimation in the shape domain, which turns out to be computationally more efficient. Simulations of the self-localization of an acoustic sensor network and a following coordinate mapping for a joint speaker localization showed a significant improvement of the localization performance, since the modalities were able to support each other.\" "}],"related_material":{"link":[{"description":"Presentation","url":"https://groups.uni-paderborn.de/nt/pubs/2014/JaHa2014_Talk.pdf","relation":"supplementary_material"}]},"citation":{"apa":"Jacob, F., &#38; Haeb-Umbach, R. (2014). Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking. In <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>.","ieee":"F. Jacob and R. Haeb-Umbach, “Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking,” in <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>, 2014.","short":"F. Jacob, R. Haeb-Umbach, in: 11. ITG Fachtagung Sprachkommunikation (ITG 2014), 2014.","chicago":"Jacob, Florian, and Reinhold Haeb-Umbach. “Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking.” In <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>, 2014.","mla":"Jacob, Florian, and Reinhold Haeb-Umbach. “Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking.” <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>, 2014.","ama":"Jacob F, Haeb-Umbach R. Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking. In: <i>11. ITG Fachtagung Sprachkommunikation (ITG 2014)</i>. ; 2014.","bibtex":"@inproceedings{Jacob_Haeb-Umbach_2014, title={Coordinate Mapping Between an Acoustic and Visual Sensor Network in the Shape Domain for a Joint Self-Calibrating Speaker Tracking}, booktitle={11. ITG Fachtagung Sprachkommunikation (ITG 2014)}, author={Jacob, Florian and Haeb-Umbach, Reinhold}, year={2014} }"},"publication":"11. ITG Fachtagung Sprachkommunikation (ITG 2014)"},{"citation":{"chicago":"Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.” <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i> 22, no. 1 (2014): 95–109. <a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">https://doi.org/10.1109/TASLP.2013.2285480</a>.","short":"V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2014) 95–109.","ieee":"V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech,” <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i>, vol. 22, no. 1, pp. 95–109, 2014.","apa":"Leutnant, V., Krueger, A., &#38; Haeb-Umbach, R. (2014). A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i>, <i>22</i>(1), 95–109. <a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">https://doi.org/10.1109/TASLP.2013.2285480</a>","bibtex":"@article{Leutnant_Krueger_Haeb-Umbach_2014, title={A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech}, volume={22}, DOI={<a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">10.1109/TASLP.2013.2285480</a>}, number={1}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2014}, pages={95–109} }","ama":"Leutnant V, Krueger A, Haeb-Umbach R. A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i>. 2014;22(1):95-109. doi:<a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">10.1109/TASLP.2013.2285480</a>","mla":"Leutnant, Volker, et al. “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.” <i>IEEE/ACM Transactions on Audio, Speech, and Language Processing</i>, vol. 22, no. 1, 2014, pp. 95–109, doi:<a href=\"https://doi.org/10.1109/TASLP.2013.2285480\">10.1109/TASLP.2013.2285480</a>."},"status":"public","volume":22,"user_id":"44006","_id":"11861","page":"95-109","abstract":[{"text":"In this contribution we present a theoretical and experimental investigation into the effects of reverberation and noise on features in the logarithmic mel power spectral domain, an intermediate stage in the computation of the mel frequency cepstral coefficients, prevalent in automatic speech recognition (ASR). Gaining insight into the complex interaction between clean speech, noise, and noisy reverberant speech features is essential for any ASR system to be robust against noise and reverberation present in distant microphone input signals. The findings are gathered in a probabilistic formulation of an observation model which may be used in model-based feature compensation schemes. The proposed observation model extends previous models in three major directions: First, the contribution of additive background noise to the observation error is explicitly taken into account. Second, an energy compensation constant is introduced which ensures an unbiased estimate of the reverberant speech features, and, third, a recursive variant of the observation model is developed resulting in reduced computational complexity when used in model-based feature compensation. The experimental section is used to evaluate the accuracy of the model and to describe how its parameters can be determined from test data.","lang":"eng"}],"issue":"1","publication":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","department":[{"_id":"54"}],"type":"journal_article","keyword":["computational complexity","reverberation","speech recognition","automatic speech recognition","background noise","clean speech","computational complexity","energy compensation","logarithmic mel power spectral domain","mel frequency cepstral coefficients","microphone input signals","model-based feature compensation schemes","noisy reverberant speech automatic recognition","noisy reverberant speech features","reverberation","Atmospheric modeling","Computational modeling","Noise","Noise measurement","Reverberation","Speech","Vectors","Model-based feature compensation","observation model for reverberant and noisy speech","recursive observation model","robust automatic speech recognition"],"date_created":"2019-07-12T05:29:41Z","intvolume":"        22","date_updated":"2022-01-06T06:51:11Z","author":[{"full_name":"Leutnant, Volker","first_name":"Volker","last_name":"Leutnant"},{"full_name":"Krueger, Alexander","first_name":"Alexander","last_name":"Krueger"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"publication_identifier":{"issn":["2329-9290"]},"title":"A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech","year":"2014","doi":"10.1109/TASLP.2013.2285480","language":[{"iso":"eng"}]},{"issue":"4","publication":"IEEE Transactions on Audio, Speech and Language Processing","abstract":[{"text":"New waves of consumer-centric applications, such as voice search and voice interaction with mobile devices and home entertainment systems, increasingly require automatic speech recognition (ASR) to be robust to the full range of real-world noise and other acoustic distorting conditions. Despite its practical importance, however, the inherent links between and distinctions among the myriad of methods for noise-robust ASR have yet to be carefully studied in order to advance the field further. To this end, it is critical to establish a solid, consistent, and common mathematical foundation for noise-robust ASR, which is lacking at present. This article is intended to fill this gap and to provide a thorough overview of modern noise-robust techniques for ASR developed over the past 30 years. We emphasize methods that are proven to be successful and that are likely to sustain or expand their future applicability. We distill key insights from our comprehensive overview in this field and take a fresh look at a few old problems, which nevertheless are still highly relevant today. Specifically, we have analyzed and categorized a wide range of noise-robust techniques using five different criteria: 1) feature-domain vs. model-domain processing, 2) the use of prior knowledge about the acoustic environment distortion, 3) the use of explicit environment-distortion models, 4) deterministic vs. uncertainty processing, and 5) the use of acoustic models trained jointly with the same feature enhancement or model adaptation process used in the testing stage. With this taxonomy-oriented review, we equip the reader with the insight to choose among techniques and with the awareness of the performance-complexity tradeoffs. The pros and cons of using different noise-robust ASR techniques in practical application scenarios are provided as a guide to interested practitioners. The current challenges and future research directions in this field is also carefully analyzed.","lang":"eng"}],"date_created":"2019-07-12T05:29:47Z","department":[{"_id":"54"}],"type":"journal_article","keyword":["Speech recognition","compensation","distortion modeling","joint model training","noise","robustness","uncertainty processing"],"author":[{"last_name":"Li","first_name":"Jinyu","full_name":"Li, Jinyu"},{"first_name":"Li","last_name":"Deng","full_name":"Deng, Li"},{"first_name":"Yifan","last_name":"Gong","full_name":"Gong, Yifan"},{"full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach","id":"242"}],"year":"2014","title":"An Overview of Noise-Robust Automatic Speech Recognition","intvolume":"        22","date_updated":"2022-01-06T06:51:11Z","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6732927"}],"doi":"10.1109/TASLP.2014.2304637","citation":{"ama":"Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic Speech Recognition. <i>IEEE Transactions on Audio, Speech and Language Processing</i>. 2014;22(4):745-777. doi:<a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">10.1109/TASLP.2014.2304637</a>","bibtex":"@article{Li_Deng_Gong_Haeb-Umbach_2014, title={An Overview of Noise-Robust Automatic Speech Recognition}, volume={22}, DOI={<a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">10.1109/TASLP.2014.2304637</a>}, number={4}, journal={IEEE Transactions on Audio, Speech and Language Processing}, author={Li, Jinyu and Deng, Li and Gong, Yifan and Haeb-Umbach, Reinhold}, year={2014}, pages={745–777} }","mla":"Li, Jinyu, et al. “An Overview of Noise-Robust Automatic Speech Recognition.” <i>IEEE Transactions on Audio, Speech and Language Processing</i>, vol. 22, no. 4, 2014, pp. 745–77, doi:<a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">10.1109/TASLP.2014.2304637</a>.","short":"J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech and Language Processing 22 (2014) 745–777.","chicago":"Li, Jinyu, Li Deng, Yifan Gong, and Reinhold Haeb-Umbach. “An Overview of Noise-Robust Automatic Speech Recognition.” <i>IEEE Transactions on Audio, Speech and Language Processing</i> 22, no. 4 (2014): 745–77. <a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">https://doi.org/10.1109/TASLP.2014.2304637</a>.","apa":"Li, J., Deng, L., Gong, Y., &#38; Haeb-Umbach, R. (2014). An Overview of Noise-Robust Automatic Speech Recognition. <i>IEEE Transactions on Audio, Speech and Language Processing</i>, <i>22</i>(4), 745–777. <a href=\"https://doi.org/10.1109/TASLP.2014.2304637\">https://doi.org/10.1109/TASLP.2014.2304637</a>","ieee":"J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust Automatic Speech Recognition,” <i>IEEE Transactions on Audio, Speech and Language Processing</i>, vol. 22, no. 4, pp. 745–777, 2014."},"oa":"1","status":"public","_id":"11867","page":"745-777","volume":22,"user_id":"44006"},{"oa":"1","department":[{"_id":"54"}],"type":"conference","date_created":"2019-07-12T05:30:46Z","abstract":[{"text":"In this paper, we investigate unsupervised acoustic model training approaches for dysarthric-speech recognition. These models are first, frame-based Gaussian posteriorgrams, obtained from Vector Quantization (VQ), second, so-called Acoustic Unit Descriptors (AUDs), which are hidden Markov models of phone-like units, that are trained in an unsupervised fashion, and, third, posteriorgrams computed on the AUDs. Experiments were carried out on a database collected from a home automation task and containing nine speakers, of which seven are considered to utter dysarthric speech. All unsupervised modeling approaches delivered significantly better recognition rates than a speaker-independent phoneme recognition baseline, showing the suitability of unsupervised acoustic model training for dysarthric speech. While the AUD models led to the most compact representation of an utterance for the subsequent semantic inference stage, posteriorgram-based representations resulted in higher recognition rates, with the Gaussian posteriorgram achieving the highest slot filling F-score of 97.02%. Index Terms: unsupervised learning, acoustic unit descriptors, dysarthric speech, non-negative matrix factorization","lang":"eng"}],"related_material":{"link":[{"description":"Poster","url":"https://groups.uni-paderborn.de/nt/pubs/2014/WaDeHaebGeOnVa14_Poster.pdf","relation":"supplementary_material"},{"description":"Spotlight","url":"https://groups.uni-paderborn.de/nt/pubs/2014/WaDeHaebGeOnVa14_Spotlight.pdf","relation":"supplementary_material"}]},"citation":{"short":"O. Walter, V. Despotovic, R. Haeb-Umbach, J. Gemmeke, B. Ons, H. Van hamme, in: INTERSPEECH 2014, 2014.","chicago":"Walter, Oliver, Vladimir Despotovic, Reinhold Haeb-Umbach, Jrt Gemmeke, Bart Ons, and Hugo Van hamme. “An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface.” In <i>INTERSPEECH 2014</i>, 2014.","ieee":"O. Walter, V. Despotovic, R. Haeb-Umbach, J. Gemmeke, B. Ons, and H. Van hamme, “An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface,” in <i>INTERSPEECH 2014</i>, 2014.","apa":"Walter, O., Despotovic, V., Haeb-Umbach, R., Gemmeke, J., Ons, B., &#38; Van hamme, H. (2014). An Evaluation of Unsupervised Acoustic Model Training for a Dysarthric Speech Interface. 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