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Paderborn University, 2012."},"language":[{"iso":"eng"}],"_id":"10650","publisher":"Paderborn University","user_id":"3118","author":[{"full_name":"Dridger, Denis","last_name":"Dridger","first_name":"Denis"}],"status":"public","title":"Design and Implementation of a Nanophotonics Simulation Personality for the Convey HC-1 Hybrid Core Computer","year":"2012","date_updated":"2022-01-06T06:50:49Z"},{"place":"Berlin","date_created":"2019-07-10T11:13:12Z","type":"dissertation","department":[{"_id":"78"}],"supervisor":[{"last_name":"Platzner","first_name":"Marco","full_name":"Platzner, Marco","id":"398"}],"citation":{"apa":"Giefers, H. (2012). <i>Design and Programming of Reconfigurable Mesh based Many-Cores</i>. Berlin: Logos Verlag Berlin GmbH.","ieee":"H. Giefers, <i>Design and Programming of Reconfigurable Mesh based Many-Cores</i>. Berlin: Logos Verlag Berlin GmbH, 2012.","chicago":"Giefers, Heiner. <i>Design and Programming of Reconfigurable Mesh Based Many-Cores</i>. 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In this thesis, the author tackles both questions by reviewing the reconfigurable mesh model of massively parallel computation for many-cores.\r\n\r\nThe book presents the design, implementation and evaluation of a many-core architecture that is based on the execution principles and communication infrastructure of the reconfigurable mesh. This work fundamentally rests on FPGA implementations and shows that reconfigurable mesh processors with hundreds of autonomous cores are feasible. Several case studies demonstrate the effectiveness of programming and illustrate why the reconfigurable mesh is a promising model for many-cores."}],"page":"159","_id":"10652","publisher":"Logos Verlag Berlin GmbH","language":[{"iso":"eng"}],"user_id":"3118","title":"Design and Programming of Reconfigurable Mesh based Many-Cores","year":"2012","status":"public","author":[{"first_name":"Heiner","last_name":"Giefers","full_name":"Giefers, Heiner"}],"publication_identifier":{"isbn":["978-3-8325-3165-2"]},"date_updated":"2022-01-06T06:50:49Z","publication_status":"published"},{"department":[{"_id":"78"}],"type":"mastersthesis","date_created":"2019-07-10T11:13:34Z","citation":{"ama":"Graf T. <i>Adaptive Playouts in Der Monte-Carlo Spielbaumsuche Am Anwendungsfall Go</i>. 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Paderborn University, 2012.","short":"M. Wistuba, Analysis of Pattern Based Model Design and Learning in Computer-Go, Paderborn University, 2012.","ama":"Wistuba M. <i>Analysis of Pattern Based Model Design and Learning in Computer-Go</i>. Paderborn University; 2012.","ieee":"M. Wistuba, <i>Analysis of Pattern Based Model Design and Learning in Computer-Go</i>. Paderborn University, 2012.","apa":"Wistuba, M. (2012). <i>Analysis of Pattern Based Model Design and Learning in Computer-Go</i>. Paderborn University.","mla":"Wistuba, Martin. <i>Analysis of Pattern Based Model Design and Learning in Computer-Go</i>. 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ITG Symposium; Proceedings.}, author={Chinaev, Aleksej and Haeb-Umbach, Reinhold}, year={2012} }"},"publication":"Speech Communication; 10. 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Chinaev, A. Krueger, D.H. Tran Vu, R. Haeb-Umbach, in: 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012), 2012.","apa":"Chinaev, A., Krueger, A., Tran Vu, D. H., &#38; Haeb-Umbach, R. (2012). Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor. In <i>37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)</i>.","ieee":"A. Chinaev, A. Krueger, D. H. Tran Vu, and R. Haeb-Umbach, “Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor,” in <i>37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)</i>, 2012.","ama":"Chinaev A, Krueger A, Tran Vu DH, Haeb-Umbach R. Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor. In: <i>37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)</i>. ; 2012.","bibtex":"@inproceedings{Chinaev_Krueger_Tran Vu_Haeb-Umbach_2012, title={Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor}, booktitle={37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)}, author={Chinaev, Aleksej and Krueger, Alexander and Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2012} }","mla":"Chinaev, Aleksej, et al. “Improved Noise Power Spectral Density Tracking by a MAP-Based Postprocessor.” <i>37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)</i>, 2012."},"related_material":{"link":[{"description":"Presentation","url":"https://groups.uni-paderborn.de/nt/pubs/2012/ChKrDaHa12_Talk.pdf","relation":"supplementary_material"}]},"abstract":[{"text":"In this paper we present a novel noise power spectral density tracking algorithm and its use in single-channel speech enhancement. It has the unique feature that it is able to track the noise statistics even if speech is dominant in a given time-frequency bin. As a consequence it can follow non-stationary noise superposed by speech, even in the critical case of rising noise power. The algorithm requires an initial estimate of the power spectrum of speech and is thus meant to be used as a postprocessor to a first speech enhancement stage. An experimental comparison with a state-of-the-art noise tracking algorithm demonstrates lower estimation errors under low SNR conditions and smaller fluctuations of the estimated values, resulting in improved speech quality as measured by PESQ scores.","lang":"eng"}]},{"date_updated":"2022-01-06T06:51:11Z","year":"2012","title":"Reverberant Speech Recognition","status":"public","author":[{"last_name":"Krueger","first_name":"Alexander","full_name":"Krueger, Alexander"},{"id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold"}],"user_id":"44006","_id":"11844","publisher":"Wiley","language":[{"iso":"eng"}],"publication":"Techniques for Noise Robustness in Automatic Speech Recognition","citation":{"mla":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Reverberant Speech Recognition.” <i>Techniques for Noise Robustness in Automatic Speech Recognition</i>, Wiley, 2012.","ama":"Krueger A, Haeb-Umbach R. Reverberant Speech Recognition. In: <i>Techniques for Noise Robustness in Automatic Speech Recognition</i>. Wiley; 2012.","bibtex":"@inbook{Krueger_Haeb-Umbach_2012, title={Reverberant Speech Recognition}, booktitle={Techniques for Noise Robustness in Automatic Speech Recognition}, publisher={Wiley}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2012} }","apa":"Krueger, A., &#38; Haeb-Umbach, R. (2012). Reverberant Speech Recognition. In <i>Techniques for Noise Robustness in Automatic Speech Recognition</i>. Wiley.","ieee":"A. Krueger and R. Haeb-Umbach, “Reverberant Speech Recognition,” in <i>Techniques for Noise Robustness in Automatic Speech Recognition</i>, Wiley, 2012.","short":"A. Krueger, R. Haeb-Umbach, in: Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, 2012.","chicago":"Krueger, Alexander, and Reinhold Haeb-Umbach. “Reverberant Speech Recognition.” In <i>Techniques for Noise Robustness in Automatic Speech Recognition</i>. Wiley, 2012."},"type":"book_chapter","department":[{"_id":"54"}],"date_created":"2019-07-12T05:29:21Z"},{"user_id":"44006","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2012/KrWaLeHa2012.pdf"}],"language":[{"iso":"eng"}],"_id":"11849","date_updated":"2022-01-06T06:51:11Z","title":"Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data","status":"public","year":"2012","author":[{"first_name":"Alexander","last_name":"Krueger","full_name":"Krueger, Alexander"},{"full_name":"Walter, Oliver","first_name":"Oliver","last_name":"Walter"},{"first_name":"Volker","last_name":"Leutnant","full_name":"Leutnant, Volker"},{"last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"type":"conference","oa":"1","department":[{"_id":"54"}],"place":"Portland, USA","date_created":"2019-07-12T05:29:27Z","abstract":[{"text":"In this contribution we investigate the effectiveness of Bayesian feature enhancement (BFE) on a medium-sized recognition task containing real-world recordings of noisy reverberant speech. BFE employs a very coarse model of the acoustic impulse response (AIR) from the source to the microphone, which has been shown to be effective if the speech to be recognized has been generated by artificially convolving nonreverberant speech with a constant AIR. Here we demonstrate that the model is also appropriate to be used in feature enhancement of true recordings of noisy reverberant speech. On the Multi-Channel Wall Street Journal Audio Visual corpus (MC-WSJ-AV) the word error rate is cut in half to 41.9 percent compared to the ETSI Standard Front-End using as input the signal of a single distant microphone with a single recognition pass.","lang":"eng"}],"publication":"Proc. Interspeech","citation":{"bibtex":"@inproceedings{Krueger_Walter_Leutnant_Haeb-Umbach_2012, place={Portland, USA}, title={Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data}, booktitle={Proc. Interspeech}, author={Krueger, Alexander and Walter, Oliver and Leutnant, Volker and Haeb-Umbach, Reinhold}, year={2012} }","ama":"Krueger A, Walter O, Leutnant V, Haeb-Umbach R. Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data. In: <i>Proc. Interspeech</i>. Portland, USA; 2012.","mla":"Krueger, Alexander, et al. “Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data.” <i>Proc. Interspeech</i>, 2012.","short":"A. Krueger, O. Walter, V. Leutnant, R. Haeb-Umbach, in: Proc. Interspeech, Portland, USA, 2012.","chicago":"Krueger, Alexander, Oliver Walter, Volker Leutnant, and Reinhold Haeb-Umbach. “Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data.” In <i>Proc. Interspeech</i>. Portland, USA, 2012.","ieee":"A. Krueger, O. Walter, V. Leutnant, and R. Haeb-Umbach, “Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data,” in <i>Proc. Interspeech</i>, 2012.","apa":"Krueger, A., Walter, O., Leutnant, V., &#38; Haeb-Umbach, R. (2012). Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data. In <i>Proc. Interspeech</i>. Portland, USA."}}]