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Throughout the process, a large number of circuits may be subject to processing, leading to considerable runtimes. In this work, we propose a search which takes error bounds and pre-computed impact factors into account to reduce the number of invoked synthesis and verification processes. 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Thermodynamic factor of quaternary mixtures from Kirkwood–Buff integration. <i>Molecular Physics</i>. 2019. doi:<a href=\"https://doi.org/10.1080/00268976.2019.1643046\">10.1080/00268976.2019.1643046</a>","chicago":"Fingerhut, Robin, Gerhard Herres, and Jadran Vrabec. “Thermodynamic Factor of Quaternary Mixtures from Kirkwood–Buff Integration.” <i>Molecular Physics</i>, 2019. <a href=\"https://doi.org/10.1080/00268976.2019.1643046\">https://doi.org/10.1080/00268976.2019.1643046</a>.","ieee":"R. Fingerhut, G. Herres, and J. Vrabec, “Thermodynamic factor of quaternary mixtures from Kirkwood–Buff integration,” <i>Molecular Physics</i>, 2019.","mla":"Fingerhut, Robin, et al. “Thermodynamic Factor of Quaternary Mixtures from Kirkwood–Buff Integration.” <i>Molecular Physics</i>, e1643046, 2019, doi:<a href=\"https://doi.org/10.1080/00268976.2019.1643046\">10.1080/00268976.2019.1643046</a>.","short":"R. Fingerhut, G. Herres, J. Vrabec, Molecular Physics (2019).","bibtex":"@article{Fingerhut_Herres_Vrabec_2019, title={Thermodynamic factor of quaternary mixtures from Kirkwood–Buff integration}, DOI={<a href=\"https://doi.org/10.1080/00268976.2019.1643046\">10.1080/00268976.2019.1643046</a>}, number={e1643046}, journal={Molecular Physics}, author={Fingerhut, Robin and Herres, Gerhard and Vrabec, Jadran}, year={2019} }","apa":"Fingerhut, R., Herres, G., &#38; Vrabec, J. (2019). Thermodynamic factor of quaternary mixtures from Kirkwood–Buff integration. <i>Molecular Physics</i>. <a href=\"https://doi.org/10.1080/00268976.2019.1643046\">https://doi.org/10.1080/00268976.2019.1643046</a>"},"publication_status":"published","publication_identifier":{"issn":["0026-8976","1362-3028"]},"title":"Thermodynamic factor of quaternary mixtures from Kirkwood–Buff integration","doi":"10.1080/00268976.2019.1643046","date_updated":"2022-01-06T06:53:00Z","author":[{"last_name":"Fingerhut","full_name":"Fingerhut, Robin","first_name":"Robin"},{"full_name":"Herres, Gerhard","last_name":"Herres","first_name":"Gerhard"},{"full_name":"Vrabec, Jadran","last_name":"Vrabec","first_name":"Jadran"}],"date_created":"2020-05-15T07:25:34Z"},{"keyword":["pc2-ressources"],"language":[{"iso":"eng"}],"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"16960","user_id":"61189","status":"public","type":"journal_article","publication":"The Journal of Physical Chemistry C","title":"Controlling the Electronic Contact at the Terpyridine/Metal Interface","doi":"10.1021/acs.jpcc.9b05865","date_updated":"2022-01-06T06:53:00Z","date_created":"2020-05-15T09:38:49Z","author":[{"first_name":"Max","last_name":"Mennicken","full_name":"Mennicken, Max"},{"first_name":"Sophia Katharina","last_name":"Peter","full_name":"Peter, Sophia Katharina"},{"first_name":"Corinna","full_name":"Kaulen, Corinna","last_name":"Kaulen"},{"first_name":"Ulrich","last_name":"Simon","full_name":"Simon, Ulrich"},{"first_name":"Silvia","full_name":"Karthäuser, Silvia","last_name":"Karthäuser"}],"year":"2019","citation":{"short":"M. Mennicken, S.K. Peter, C. Kaulen, U. Simon, S. Karthäuser, The Journal of Physical Chemistry C (2019) 21367–21375.","mla":"Mennicken, Max, et al. “Controlling the Electronic Contact at the Terpyridine/Metal Interface.” <i>The Journal of Physical Chemistry C</i>, 2019, pp. 21367–75, doi:<a href=\"https://doi.org/10.1021/acs.jpcc.9b05865\">10.1021/acs.jpcc.9b05865</a>.","bibtex":"@article{Mennicken_Peter_Kaulen_Simon_Karthäuser_2019, title={Controlling the Electronic Contact at the Terpyridine/Metal Interface}, DOI={<a href=\"https://doi.org/10.1021/acs.jpcc.9b05865\">10.1021/acs.jpcc.9b05865</a>}, journal={The Journal of Physical Chemistry C}, author={Mennicken, Max and Peter, Sophia Katharina and Kaulen, Corinna and Simon, Ulrich and Karthäuser, Silvia}, year={2019}, pages={21367–21375} }","apa":"Mennicken, M., Peter, S. K., Kaulen, C., Simon, U., &#38; Karthäuser, S. (2019). Controlling the Electronic Contact at the Terpyridine/Metal Interface. <i>The Journal of Physical Chemistry C</i>, 21367–21375. <a href=\"https://doi.org/10.1021/acs.jpcc.9b05865\">https://doi.org/10.1021/acs.jpcc.9b05865</a>","ama":"Mennicken M, Peter SK, Kaulen C, Simon U, Karthäuser S. Controlling the Electronic Contact at the Terpyridine/Metal Interface. <i>The Journal of Physical Chemistry C</i>. 2019:21367-21375. doi:<a href=\"https://doi.org/10.1021/acs.jpcc.9b05865\">10.1021/acs.jpcc.9b05865</a>","chicago":"Mennicken, Max, Sophia Katharina Peter, Corinna Kaulen, Ulrich Simon, and Silvia Karthäuser. “Controlling the Electronic Contact at the Terpyridine/Metal Interface.” <i>The Journal of Physical Chemistry C</i>, 2019, 21367–75. <a href=\"https://doi.org/10.1021/acs.jpcc.9b05865\">https://doi.org/10.1021/acs.jpcc.9b05865</a>.","ieee":"M. Mennicken, S. K. Peter, C. Kaulen, U. Simon, and S. Karthäuser, “Controlling the Electronic Contact at the Terpyridine/Metal Interface,” <i>The Journal of Physical Chemistry C</i>, pp. 21367–21375, 2019."},"page":"21367-21375","publication_status":"published","publication_identifier":{"issn":["1932-7447","1932-7455"]}},{"publication_identifier":{"issn":["1420-3049"]},"publication_status":"published","citation":{"chicago":"Wiebeler, Christian, and Igor Schapiro. “QM/MM Benchmarking of Cyanobacteriochrome Slr1393g3 Absorption Spectra.” <i>Molecules</i>, 2019. <a href=\"https://doi.org/10.3390/molecules24091720\">https://doi.org/10.3390/molecules24091720</a>.","ieee":"C. Wiebeler and I. Schapiro, “QM/MM Benchmarking of Cyanobacteriochrome Slr1393g3 Absorption Spectra,” <i>Molecules</i>, 2019.","ama":"Wiebeler C, Schapiro I. QM/MM Benchmarking of Cyanobacteriochrome Slr1393g3 Absorption Spectra. <i>Molecules</i>. 2019. doi:<a href=\"https://doi.org/10.3390/molecules24091720\">10.3390/molecules24091720</a>","apa":"Wiebeler, C., &#38; Schapiro, I. (2019). QM/MM Benchmarking of Cyanobacteriochrome Slr1393g3 Absorption Spectra. <i>Molecules</i>. <a href=\"https://doi.org/10.3390/molecules24091720\">https://doi.org/10.3390/molecules24091720</a>","mla":"Wiebeler, Christian, and Igor Schapiro. “QM/MM Benchmarking of Cyanobacteriochrome Slr1393g3 Absorption Spectra.” <i>Molecules</i>, 1720, 2019, doi:<a href=\"https://doi.org/10.3390/molecules24091720\">10.3390/molecules24091720</a>.","bibtex":"@article{Wiebeler_Schapiro_2019, title={QM/MM Benchmarking of Cyanobacteriochrome Slr1393g3 Absorption Spectra}, DOI={<a href=\"https://doi.org/10.3390/molecules24091720\">10.3390/molecules24091720</a>}, number={1720}, journal={Molecules}, author={Wiebeler, Christian and Schapiro, Igor}, year={2019} }","short":"C. Wiebeler, I. Schapiro, Molecules (2019)."},"year":"2019","date_created":"2020-06-04T07:27:03Z","author":[{"first_name":"Christian","last_name":"Wiebeler","full_name":"Wiebeler, Christian"},{"first_name":"Igor","full_name":"Schapiro, Igor","last_name":"Schapiro"}],"date_updated":"2022-01-06T06:53:04Z","doi":"10.3390/molecules24091720","title":"QM/MM Benchmarking of Cyanobacteriochrome Slr1393g3 Absorption Spectra","publication":"Molecules","type":"journal_article","status":"public","abstract":[{"text":"<jats:p>Cyanobacteriochromes are compact and spectrally diverse photoreceptor proteins that are promising candidates for biotechnological applications. Computational studies can contribute to an understanding at a molecular level of their wide spectral tuning and diversity. In this contribution, we benchmark methods to model a 110 nm shift in the UV/Vis absorption spectrum from a red- to a green-absorbing form of the cyanobacteriochrome Slr1393g3. Based on an assessment of semiempirical methods to describe the chromophore geometries of both forms in vacuo, we find that DFTB2+D leads to structures that are the closest to the reference method. The benchmark of the excited state calculations is based on snapshots from quantum mechanics/molecular mechanics molecular dynamics simulations. In our case, the methods RI-ADC(2) and sTD-DFT based on CAM-B3LYP ground state calculations perform the best, whereas no functional can be recommended to simulate the absorption spectra of both forms with time-dependent density functional theory. Furthermore, the difference in absorption for the lowest energy absorption maxima of both forms can already be modelled with optimized structures, but sampling is required to improve the shape of the absorption bands of both forms, in particular for the second band. This benchmark study can guide further computational studies, as it assesses essential components of a protocol to model the spectral tuning of both cyanobacteriochromes and the related phytochromes.</jats:p>","lang":"eng"}],"user_id":"61189","_id":"17077","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"language":[{"iso":"eng"}],"keyword":["pc2-ressources"],"article_number":"1720"},{"keyword":["Approximate computing","design automation","parameter selection","circuit synthesis"],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"State-of-the-art frameworks for generating approximate circuits automatically explore the search space in an iterative process - often greedily. Synthesis and verification processes are invoked in each iteration to evaluate the found solutions and to guide the search algorithm. As a result, a large number of approximate circuits is subjected to analysis - leading to long runtimes - but only a few approximate circuits might form an acceptable solution.\r\n\r\nIn this paper, we present our Jump Search (JS) method which seeks to reduce the runtime of an approximation process by reducing the number of expensive synthesis and verification steps. To reduce the runtime, JS computes impact factors for each approximation candidate in the circuit to create a selection of approximate circuits without invoking synthesis or verification processes. We denote the selection as path from which JS determines the final solution. In our experimental results, JS achieved speed-ups of up to 57x while area savings remain comparable to the reference search method, Simulated Annealing."}],"publication":"Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI '19","title":"Jump Search: A Fast Technique for the Synthesis of Approximate Circuits","publisher":"ACM","date_created":"2019-07-08T15:13:10Z","year":"2019","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"10577","user_id":"49051","department":[{"_id":"78"}],"status":"public","type":"conference","conference":{"name":"ACM Great Lakes Symposium on VLSI (GLSVLSI)","start_date":"2019-05-09","end_date":"2019-05-11","location":"Tysons Corner, VA, USA"},"doi":"10.1145/3299874.3317998","date_updated":"2022-01-06T06:50:45Z","author":[{"last_name":"Witschen","full_name":"Witschen, Linus Matthias","id":"49051","first_name":"Linus Matthias"},{"first_name":"Hassan","last_name":"Ghasemzadeh Mohammadi","full_name":"Ghasemzadeh Mohammadi, Hassan","id":"61186"},{"first_name":"Matthias","last_name":"Artmann","full_name":"Artmann, Matthias"},{"last_name":"Platzner","full_name":"Platzner, Marco","id":"398","first_name":"Marco"}],"place":"New York, NY, USA","citation":{"bibtex":"@inproceedings{Witschen_Ghasemzadeh Mohammadi_Artmann_Platzner_2019, place={New York, NY, USA}, title={Jump Search: A Fast Technique for the Synthesis of Approximate Circuits}, DOI={<a href=\"https://doi.org/10.1145/3299874.3317998\">10.1145/3299874.3317998</a>}, booktitle={Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19}, publisher={ACM}, author={Witschen, Linus Matthias and Ghasemzadeh Mohammadi, Hassan and Artmann, Matthias and Platzner, Marco}, year={2019} }","short":"L.M. Witschen, H. Ghasemzadeh Mohammadi, M. Artmann, M. Platzner, in: Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19, ACM, New York, NY, USA, 2019.","mla":"Witschen, Linus Matthias, et al. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” <i>Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19</i>, ACM, 2019, doi:<a href=\"https://doi.org/10.1145/3299874.3317998\">10.1145/3299874.3317998</a>.","apa":"Witschen, L. M., Ghasemzadeh Mohammadi, H., Artmann, M., &#38; Platzner, M. (2019). Jump Search: A Fast Technique for the Synthesis of Approximate Circuits. In <i>Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19</i>. New York, NY, USA: ACM. <a href=\"https://doi.org/10.1145/3299874.3317998\">https://doi.org/10.1145/3299874.3317998</a>","ama":"Witschen LM, Ghasemzadeh Mohammadi H, Artmann M, Platzner M. Jump Search: A Fast Technique for the Synthesis of Approximate Circuits. In: <i>Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19</i>. New York, NY, USA: ACM; 2019. doi:<a href=\"https://doi.org/10.1145/3299874.3317998\">10.1145/3299874.3317998</a>","ieee":"L. M. Witschen, H. Ghasemzadeh Mohammadi, M. Artmann, and M. Platzner, “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits,” in <i>Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19</i>, Tysons Corner, VA, USA, 2019.","chicago":"Witschen, Linus Matthias, Hassan Ghasemzadeh Mohammadi, Matthias Artmann, and Marco Platzner. “Jump Search: A Fast Technique for the Synthesis of Approximate Circuits.” In <i>Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19</i>. New York, NY, USA: ACM, 2019. <a href=\"https://doi.org/10.1145/3299874.3317998\">https://doi.org/10.1145/3299874.3317998</a>."},"publication_status":"published","publication_identifier":{"isbn":["9781450362528"]}},{"ddc":["000"],"language":[{"iso":"eng"}],"file_date_updated":"2019-08-13T06:41:35Z","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"11965","user_id":"59789","department":[{"_id":"54"}],"abstract":[{"text":"We present an unsupervised training approach for a neural network-based mask estimator in an acoustic beamforming application. The network is trained to maximize a likelihood criterion derived from a spatial mixture model of the observations. It is trained from scratch without requiring any parallel data consisting of degraded input and clean training targets. Thus, training can be carried out on real recordings of noisy speech rather than simulated ones. In contrast to previous work on unsupervised training of neural mask estimators, our approach avoids the need for a possibly pre-trained teacher model entirely. We demonstrate the effectiveness of our approach by speech recognition experiments on two different datasets: one mainly deteriorated by noise (CHiME 4) and one by reverberation (REVERB). The results show that the performance of the proposed system is on par with a supervised system using oracle target masks for training and with a system trained using a model-based teacher.","lang":"eng"}],"file":[{"relation":"main_file","content_type":"application/pdf","file_size":223413,"access_level":"open_access","file_id":"12914","file_name":"INTERSPEECH_2019_Drude_Paper.pdf","date_updated":"2019-08-13T06:41:35Z","creator":"huesera","date_created":"2019-08-13T06:36:44Z"}],"status":"public","type":"conference","publication":"INTERSPEECH 2019, Graz, Austria","title":"Unsupervised training of neural mask-based beamforming","oa":"1","date_updated":"2022-01-06T06:51:14Z","date_created":"2019-07-18T09:11:39Z","author":[{"id":"11213","full_name":"Drude, Lukas","last_name":"Drude","first_name":"Lukas"},{"first_name":"Jahn","id":"9168","full_name":"Heymann, Jahn","last_name":"Heymann"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","id":"242","full_name":"Haeb-Umbach, Reinhold"}],"year":"2019","citation":{"ama":"Drude L, Heymann J, Haeb-Umbach R. Unsupervised training of neural mask-based beamforming. In: <i>INTERSPEECH 2019, Graz, Austria</i>. ; 2019.","chicago":"Drude, Lukas, Jahn Heymann, and Reinhold Haeb-Umbach. “Unsupervised Training of Neural Mask-Based Beamforming.” In <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.","ieee":"L. Drude, J. Heymann, and R. Haeb-Umbach, “Unsupervised training of neural mask-based beamforming,” in <i>INTERSPEECH 2019, Graz, Austria</i>, 2019.","apa":"Drude, L., Heymann, J., &#38; Haeb-Umbach, R. (2019). Unsupervised training of neural mask-based beamforming. In <i>INTERSPEECH 2019, Graz, Austria</i>.","bibtex":"@inproceedings{Drude_Heymann_Haeb-Umbach_2019, title={Unsupervised training of neural mask-based beamforming}, booktitle={INTERSPEECH 2019, Graz, Austria}, author={Drude, Lukas and Heymann, Jahn and Haeb-Umbach, Reinhold}, year={2019} }","short":"L. Drude, J. Heymann, R. Haeb-Umbach, in: INTERSPEECH 2019, Graz, Austria, 2019.","mla":"Drude, Lukas, et al. “Unsupervised Training of Neural Mask-Based Beamforming.” <i>INTERSPEECH 2019, Graz, Austria</i>, 2019."},"has_accepted_license":"1"},{"oa":"1","date_updated":"2022-01-06T06:51:21Z","author":[{"full_name":"Drude, Lukas","id":"11213","last_name":"Drude","first_name":"Lukas"},{"first_name":"Daniel","full_name":"Hasenklever, Daniel","last_name":"Hasenklever"},{"first_name":"Reinhold","id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach"}],"date_created":"2019-07-23T07:37:54Z","title":"Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation","has_accepted_license":"1","year":"2019","citation":{"apa":"Drude, L., Hasenklever, D., &#38; Haeb-Umbach, R. (2019). Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In <i>ICASSP 2019, Brighton, UK</i>.","bibtex":"@inproceedings{Drude_Hasenklever_Haeb-Umbach_2019, title={Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation}, booktitle={ICASSP 2019, Brighton, UK}, author={Drude, Lukas and Hasenklever, Daniel and Haeb-Umbach, Reinhold}, year={2019} }","short":"L. Drude, D. Hasenklever, R. Haeb-Umbach, in: ICASSP 2019, Brighton, UK, 2019.","mla":"Drude, Lukas, et al. “Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation.” <i>ICASSP 2019, Brighton, UK</i>, 2019.","ama":"Drude L, Hasenklever D, Haeb-Umbach R. Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In: <i>ICASSP 2019, Brighton, UK</i>. ; 2019.","ieee":"L. Drude, D. Hasenklever, and R. Haeb-Umbach, “Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation,” in <i>ICASSP 2019, Brighton, UK</i>, 2019.","chicago":"Drude, Lukas, Daniel Hasenklever, and Reinhold Haeb-Umbach. “Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation.” In <i>ICASSP 2019, Brighton, UK</i>, 2019."},"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"12874","user_id":"59789","department":[{"_id":"54"}],"ddc":["000"],"language":[{"iso":"eng"}],"file_date_updated":"2019-08-14T07:19:13Z","type":"conference","publication":"ICASSP 2019, Brighton, UK","abstract":[{"lang":"eng","text":"We propose a training scheme to train neural network-based source separation algorithms from scratch when parallel clean data is unavailable. In particular, we demonstrate that an unsupervised spatial clustering algorithm is sufficient to guide the training of a deep clustering system. We argue that previous work on deep clustering requires strong supervision and elaborate on why this is a limitation. We demonstrate that (a) the single-channel deep clustering system trained according to the proposed scheme alone is able to achieve a similar performance as the multi-channel teacher in terms of word error rates and (b) initializing the spatial clustering approach with the deep clustering result yields a relative word error rate reduction of 26% over the unsupervised teacher."}],"file":[{"file_size":368225,"file_id":"12925","access_level":"open_access","file_name":"ICASSP_2019_Drude_Paper.pdf","date_updated":"2019-08-14T07:19:13Z","creator":"huesera","date_created":"2019-08-14T07:19:13Z","relation":"main_file","content_type":"application/pdf"}],"status":"public"},{"has_accepted_license":"1","citation":{"apa":"Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., &#38; Nakatani, T. (2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In <i>ICASSP 2019, Brighton, UK</i>.","mla":"Heymann, Jahn, et al. “Joint Optimization of Neural Network-Based WPE Dereverberation and Acoustic Model for Robust Online ASR.” <i>ICASSP 2019, Brighton, UK</i>, 2019.","short":"J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, T. Nakatani, in: ICASSP 2019, Brighton, UK, 2019.","bibtex":"@inproceedings{Heymann_Drude_Haeb-Umbach_Kinoshita_Nakatani_2019, title={Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR}, booktitle={ICASSP 2019, Brighton, UK}, author={Heymann, Jahn and Drude, Lukas and Haeb-Umbach, Reinhold and Kinoshita, Keisuke and Nakatani, Tomohiro}, year={2019} }","chicago":"Heymann, Jahn, Lukas Drude, Reinhold Haeb-Umbach, Keisuke Kinoshita, and Tomohiro Nakatani. “Joint Optimization of Neural Network-Based WPE Dereverberation and Acoustic Model for Robust Online ASR.” In <i>ICASSP 2019, Brighton, UK</i>, 2019.","ieee":"J. Heymann, L. Drude, R. Haeb-Umbach, K. Kinoshita, and T. Nakatani, “Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR,” in <i>ICASSP 2019, Brighton, UK</i>, 2019.","ama":"Heymann J, Drude L, Haeb-Umbach R, Kinoshita K, Nakatani T. Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In: <i>ICASSP 2019, Brighton, UK</i>. ; 2019."},"year":"2019","author":[{"first_name":"Jahn","id":"9168","full_name":"Heymann, Jahn","last_name":"Heymann"},{"last_name":"Drude","full_name":"Drude, Lukas","id":"11213","first_name":"Lukas"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"},{"first_name":"Keisuke","last_name":"Kinoshita","full_name":"Kinoshita, Keisuke"},{"full_name":"Nakatani, Tomohiro","last_name":"Nakatani","first_name":"Tomohiro"}],"date_created":"2019-07-23T07:42:26Z","date_updated":"2022-01-06T06:51:22Z","oa":"1","title":"Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR","type":"conference","publication":"ICASSP 2019, Brighton, UK","file":[{"content_type":"application/pdf","relation":"main_file","creator":"huesera","date_created":"2019-12-17T07:28:06Z","date_updated":"2019-12-17T07:28:06Z","file_id":"15334","access_level":"open_access","file_name":"ICASSP_2019_Heymann_Paper.pdf","file_size":199109}],"status":"public","abstract":[{"text":"Signal dereverberation using the Weighted Prediction Error (WPE) method has been proven to be an effective means to raise the accuracy of far-field speech recognition. First proposed as an iterative algorithm, follow-up works have reformulated it as a recursive least squares algorithm and therefore enabled its use in online applications. For this algorithm, the estimation of the power spectral density (PSD) of the anechoic signal plays an important role and strongly influences its performance. Recently, we showed that using a neural network PSD estimator leads to improved performance for online automatic speech recognition. This, however, comes at a price. To train the network, we require parallel data, i.e., utterances simultaneously available in clean and reverberated form. Here we propose to overcome this limitation by training the network jointly with the acoustic model of the speech recognizer. To be specific, the gradients computed from the cross-entropy loss between the target senone sequence and the acoustic model network output is backpropagated through the complex-valued dereverberation filter estimation to the neural network for PSD estimation. Evaluation on two databases demonstrates improved performance for on-line processing scenarios while imposing fewer requirements on the available training data and thus widening the range of applications.","lang":"eng"}],"user_id":"59789","department":[{"_id":"54"}],"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"12875","file_date_updated":"2019-12-17T07:28:06Z","language":[{"iso":"eng"}],"ddc":["000"]},{"year":"2019","title":"Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation","date_created":"2019-07-26T08:38:46Z","abstract":[{"text":"We formulate a generic framework for blind source separation (BSS), which allows integrating data-driven spectro-temporal methods, such as deep clustering and deep attractor networks, with physically motivated probabilistic spatial methods, such as complex angular central Gaussian mixture models. The integrated model exploits the complementary strengths of the two approaches to BSS: the strong modeling power of neural networks, which, however, is based on supervised learning, and the ease of unsupervised learning of the spatial mixture models whose few parameters can be estimated on as little as a single segment of a real mixture of speech. Experiments are carried out on both artificially mixed speech and true recordings of speech mixtures. The experiments verify that the integrated models consistently outperform the individual components. We further extend the models to cope with noisy, reverberant speech and introduce a cross-domain teacher–student training where the mixture model serves as the teacher to provide training targets for the student neural network.","lang":"eng"}],"file":[{"relation":"main_file","content_type":"application/pdf","file_name":"IEEE Jounal_2019_Drude_Paper.pdf","access_level":"open_access","file_id":"12903","file_size":967424,"creator":"huesera","date_created":"2019-08-07T07:12:21Z","date_updated":"2019-08-14T07:11:22Z"}],"publication":"IEEE Journal of Selected Topics in Signal Processing","ddc":["050"],"language":[{"iso":"eng"}],"citation":{"chicago":"Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation.” <i>IEEE Journal of Selected Topics in Signal Processing</i>, 2019. <a href=\"https://doi.org/10.1109/JSTSP.2019.2912565\">https://doi.org/10.1109/JSTSP.2019.2912565</a>.","ieee":"L. Drude and R. Haeb-Umbach, “Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation,” <i>IEEE Journal of Selected Topics in Signal Processing</i>, 2019.","ama":"Drude L, Haeb-Umbach R. Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. <i>IEEE Journal of Selected Topics in Signal Processing</i>. 2019. doi:<a href=\"https://doi.org/10.1109/JSTSP.2019.2912565\">10.1109/JSTSP.2019.2912565</a>","bibtex":"@article{Drude_Haeb-Umbach_2019, title={Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation}, DOI={<a href=\"https://doi.org/10.1109/JSTSP.2019.2912565\">10.1109/JSTSP.2019.2912565</a>}, journal={IEEE Journal of Selected Topics in Signal Processing}, author={Drude, Lukas and Haeb-Umbach, Reinhold}, year={2019} }","short":"L. Drude, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing (2019).","mla":"Drude, Lukas, and Reinhold Haeb-Umbach. “Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation.” <i>IEEE Journal of Selected Topics in Signal Processing</i>, 2019, doi:<a href=\"https://doi.org/10.1109/JSTSP.2019.2912565\">10.1109/JSTSP.2019.2912565</a>.","apa":"Drude, L., &#38; Haeb-Umbach, R. (2019). Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. <i>IEEE Journal of Selected Topics in Signal Processing</i>. <a href=\"https://doi.org/10.1109/JSTSP.2019.2912565\">https://doi.org/10.1109/JSTSP.2019.2912565</a>"},"publication_identifier":{"eissn":["1941-0484"]},"has_accepted_license":"1","doi":"10.1109/JSTSP.2019.2912565","oa":"1","date_updated":"2022-01-06T06:51:23Z","author":[{"last_name":"Drude","id":"11213","full_name":"Drude, Lukas","first_name":"Lukas"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"status":"public","type":"journal_article","file_date_updated":"2019-08-14T07:11:22Z","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"12890","user_id":"11213","department":[{"_id":"54"}]},{"date_updated":"2022-01-06T06:52:32Z","author":[{"full_name":"Ojha, Deepak","last_name":"Ojha","first_name":"Deepak"},{"last_name":"Kaliannan","full_name":"Kaliannan, Naveen Kumar","first_name":"Naveen Kumar"},{"full_name":"Kühne, Thomas D.","last_name":"Kühne","first_name":"Thomas D."}],"date_created":"2020-01-30T13:06:44Z","volume":2,"title":"Time-dependent vibrational sum-frequency generation spectroscopy of the air-water interface","doi":"10.1038/s42004-019-0220-6","publication_status":"published","publication_identifier":{"issn":["2399-3669"]},"issue":"1","year":"2019","citation":{"apa":"Ojha, D., Kaliannan, N. K., &#38; Kühne, T. D. (2019). Time-dependent vibrational sum-frequency generation spectroscopy of the air-water interface. <i>Communications Chemistry</i>, <i>2</i>(1), 116. <a href=\"https://doi.org/10.1038/s42004-019-0220-6\">https://doi.org/10.1038/s42004-019-0220-6</a>","bibtex":"@article{Ojha_Kaliannan_Kühne_2019, title={Time-dependent vibrational sum-frequency generation spectroscopy of the air-water interface}, volume={2}, DOI={<a href=\"https://doi.org/10.1038/s42004-019-0220-6\">10.1038/s42004-019-0220-6</a>}, number={1}, journal={Communications Chemistry}, author={Ojha, Deepak and Kaliannan, Naveen Kumar and Kühne, Thomas D.}, year={2019}, pages={116} }","short":"D. Ojha, N.K. Kaliannan, T.D. Kühne, Communications Chemistry 2 (2019) 116.","mla":"Ojha, Deepak, et al. “Time-Dependent Vibrational Sum-Frequency Generation Spectroscopy of the Air-Water Interface.” <i>Communications Chemistry</i>, vol. 2, no. 1, 2019, p. 116, doi:<a href=\"https://doi.org/10.1038/s42004-019-0220-6\">10.1038/s42004-019-0220-6</a>.","chicago":"Ojha, Deepak, Naveen Kumar Kaliannan, and Thomas D. Kühne. “Time-Dependent Vibrational Sum-Frequency Generation Spectroscopy of the Air-Water Interface.” <i>Communications Chemistry</i> 2, no. 1 (2019): 116. <a href=\"https://doi.org/10.1038/s42004-019-0220-6\">https://doi.org/10.1038/s42004-019-0220-6</a>.","ieee":"D. Ojha, N. K. Kaliannan, and T. D. Kühne, “Time-dependent vibrational sum-frequency generation spectroscopy of the air-water interface,” <i>Communications Chemistry</i>, vol. 2, no. 1, p. 116, 2019.","ama":"Ojha D, Kaliannan NK, Kühne TD. Time-dependent vibrational sum-frequency generation spectroscopy of the air-water interface. <i>Communications Chemistry</i>. 2019;2(1):116. doi:<a href=\"https://doi.org/10.1038/s42004-019-0220-6\">10.1038/s42004-019-0220-6</a>"},"page":"116","intvolume":"         2","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"_id":"15724","user_id":"71692","language":[{"iso":"eng"}],"type":"journal_article","publication":"Communications Chemistry","status":"public"},{"status":"public","type":"journal_article","publication":"The Journal of Physical Chemistry C","language":[{"iso":"eng"}],"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"15740","user_id":"71051","department":[{"_id":"304"}],"year":"2019","citation":{"ieee":"M. Guc <i>et al.</i>, “Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations,” <i>The Journal of Physical Chemistry C</i>, vol. 124, pp. 1285–1291, 2019.","chicago":"Guc, Maxim, Tim Kodalle, Ramya Kormath Madam Raghupathy, Hossein Mirhosseini, Thomas D. Kühne, Ignacio Becerril-Romero, Alejandro Pérez-Rodríguez, Christian A. Kaufmann, and Victor Izquierdo-Roca. “Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations.” <i>The Journal of Physical Chemistry C</i> 124 (2019): 1285–91. <a href=\"https://doi.org/10.1021/acs.jpcc.9b08781\">https://doi.org/10.1021/acs.jpcc.9b08781</a>.","ama":"Guc M, Kodalle T, Kormath Madam Raghupathy R, et al. Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations. <i>The Journal of Physical Chemistry C</i>. 2019;124:1285-1291. doi:<a href=\"https://doi.org/10.1021/acs.jpcc.9b08781\">10.1021/acs.jpcc.9b08781</a>","apa":"Guc, M., Kodalle, T., Kormath Madam Raghupathy, R., Mirhosseini, H., Kühne, T. D., Becerril-Romero, I., … Izquierdo-Roca, V. (2019). Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations. <i>The Journal of Physical Chemistry C</i>, <i>124</i>, 1285–1291. <a href=\"https://doi.org/10.1021/acs.jpcc.9b08781\">https://doi.org/10.1021/acs.jpcc.9b08781</a>","bibtex":"@article{Guc_Kodalle_Kormath Madam Raghupathy_Mirhosseini_Kühne_Becerril-Romero_Pérez-Rodríguez_Kaufmann_Izquierdo-Roca_2019, title={Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations}, volume={124}, DOI={<a href=\"https://doi.org/10.1021/acs.jpcc.9b08781\">10.1021/acs.jpcc.9b08781</a>}, journal={The Journal of Physical Chemistry C}, author={Guc, Maxim and Kodalle, Tim and Kormath Madam Raghupathy, Ramya and Mirhosseini, Hossein and Kühne, Thomas D. and Becerril-Romero, Ignacio and Pérez-Rodríguez, Alejandro and Kaufmann, Christian A. and Izquierdo-Roca, Victor}, year={2019}, pages={1285–1291} }","short":"M. Guc, T. Kodalle, R. Kormath Madam Raghupathy, H. Mirhosseini, T.D. Kühne, I. Becerril-Romero, A. Pérez-Rodríguez, C.A. Kaufmann, V. Izquierdo-Roca, The Journal of Physical Chemistry C 124 (2019) 1285–1291.","mla":"Guc, Maxim, et al. “Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations.” <i>The Journal of Physical Chemistry C</i>, vol. 124, 2019, pp. 1285–91, doi:<a href=\"https://doi.org/10.1021/acs.jpcc.9b08781\">10.1021/acs.jpcc.9b08781</a>."},"intvolume":"       124","page":"1285-1291","publication_status":"published","publication_identifier":{"issn":["1932-7447","1932-7455"]},"title":"Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations","doi":"10.1021/acs.jpcc.9b08781","date_updated":"2022-01-06T06:52:32Z","author":[{"first_name":"Maxim","full_name":"Guc, Maxim","last_name":"Guc"},{"last_name":"Kodalle","full_name":"Kodalle, Tim","first_name":"Tim"},{"id":"71692","full_name":"Kormath Madam Raghupathy, Ramya","last_name":"Kormath Madam Raghupathy","orcid":"https://orcid.org/0000-0003-4667-9744","first_name":"Ramya"},{"first_name":"Hossein","last_name":"Mirhosseini","full_name":"Mirhosseini, Hossein"},{"last_name":"Kühne","full_name":"Kühne, Thomas D.","first_name":"Thomas D."},{"full_name":"Becerril-Romero, Ignacio","last_name":"Becerril-Romero","first_name":"Ignacio"},{"first_name":"Alejandro","full_name":"Pérez-Rodríguez, Alejandro","last_name":"Pérez-Rodríguez"},{"first_name":"Christian A.","full_name":"Kaufmann, Christian A.","last_name":"Kaufmann"},{"last_name":"Izquierdo-Roca","full_name":"Izquierdo-Roca, Victor","first_name":"Victor"}],"date_created":"2020-01-30T13:23:09Z","volume":124},{"title":"Improving CTC Using Stimulated Learning for Sequence Modeling","date_created":"2020-02-06T07:22:47Z","author":[{"last_name":"Heymann","full_name":"Heymann, Jahn","first_name":"Jahn"},{"first_name":"Bo Li","last_name":"Khe Chai Sim","full_name":"Khe Chai Sim, Bo Li"}],"oa":"1","date_updated":"2022-01-06T06:52:35Z","citation":{"short":"J. Heymann, B.L. Khe Chai Sim, in: ICASSP 2019, Brighton, UK, 2019.","bibtex":"@inproceedings{Heymann_Khe Chai Sim_2019, title={Improving CTC Using Stimulated Learning for Sequence Modeling}, booktitle={ICASSP 2019, Brighton, UK}, author={Heymann, Jahn and Khe Chai Sim, Bo Li}, year={2019} }","mla":"Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated Learning for Sequence Modeling.” <i>ICASSP 2019, Brighton, UK</i>, 2019.","apa":"Heymann, J., &#38; Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated Learning for Sequence Modeling. In <i>ICASSP 2019, Brighton, UK</i>.","ama":"Heymann J, Khe Chai Sim BL. Improving CTC Using Stimulated Learning for Sequence Modeling. In: <i>ICASSP 2019, Brighton, UK</i>. ; 2019.","chicago":"Heymann, Jahn, and Bo Li Khe Chai Sim. “Improving CTC Using Stimulated Learning for Sequence Modeling.” In <i>ICASSP 2019, Brighton, UK</i>, 2019.","ieee":"J. Heymann and B. L. Khe Chai Sim, “Improving CTC Using Stimulated Learning for Sequence Modeling,” in <i>ICASSP 2019, Brighton, UK</i>, 2019."},"year":"2019","has_accepted_license":"1","language":[{"iso":"eng"}],"file_date_updated":"2020-02-06T07:24:26Z","ddc":["000"],"user_id":"59789","department":[{"_id":"54"}],"project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"15812","file":[{"relation":"main_file","content_type":"application/pdf","access_level":"open_access","file_id":"15813","file_name":"ICASSP_2019_Heymann_1_Paper.pdf","file_size":239665,"date_created":"2020-02-06T07:24:26Z","creator":"huesera","date_updated":"2020-02-06T07:24:26Z"}],"status":"public","abstract":[{"text":"Connectionist temporal classification (CTC) is a sequence-level loss that has been successfully applied to train recurrent neural network (RNN) models for automatic speech recognition. However, one major weakness of CTC is the conditional independence assumption that makes it difficult for the model to learn label dependencies. In this paper, we propose stimulated CTC, which uses stimulated learning to help CTC models learn label dependencies implicitly by using an auxiliary RNN to generate the appropriate stimuli. This stimuli comes in the form of an additional stimulation loss term which encourages the model to learn said label dependencies. The auxiliary network is only used during training and the inference model has the same structure as a standard CTC model. The proposed stimulated CTC model achieves about 35% relative character error rate improvements on a synthetic gesture keyboard recognition task and over 30% relative word error rate improvements on the Librispeech automatic speech recognition tasks over a baseline model trained with CTC only.","lang":"eng"}],"type":"conference","publication":"ICASSP 2019, Brighton, UK"},{"year":"2019","citation":{"ieee":"C. Zorila, C. Boeddeker, R. Doddipatla, and R. Haeb-Umbach, “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription,” in <i>ASRU 2019, Sentosa, Singapore</i>, 2019.","chicago":"Zorila, Catalin, Christoph Boeddeker, Rama Doddipatla, and Reinhold Haeb-Umbach. “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription.” In <i>ASRU 2019, Sentosa, Singapore</i>, 2019.","ama":"Zorila C, Boeddeker C, Doddipatla R, Haeb-Umbach R. An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. In: <i>ASRU 2019, Sentosa, Singapore</i>. ; 2019.","apa":"Zorila, C., Boeddeker, C., Doddipatla, R., &#38; Haeb-Umbach, R. (2019). An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription. In <i>ASRU 2019, Sentosa, Singapore</i>.","bibtex":"@inproceedings{Zorila_Boeddeker_Doddipatla_Haeb-Umbach_2019, title={An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription}, booktitle={ASRU 2019, Sentosa, Singapore}, author={Zorila, Catalin and Boeddeker, Christoph and Doddipatla, Rama and Haeb-Umbach, Reinhold}, year={2019} }","short":"C. Zorila, C. Boeddeker, R. Doddipatla, R. Haeb-Umbach, in: ASRU 2019, Sentosa, Singapore, 2019.","mla":"Zorila, Catalin, et al. “An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription.” <i>ASRU 2019, Sentosa, Singapore</i>, 2019."},"has_accepted_license":"1","title":"An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription","oa":"1","date_updated":"2022-01-06T06:52:37Z","date_created":"2020-02-06T07:35:08Z","author":[{"full_name":"Zorila, Catalin","last_name":"Zorila","first_name":"Catalin"},{"first_name":"Christoph","full_name":"Boeddeker, Christoph","id":"40767","last_name":"Boeddeker"},{"first_name":"Rama","full_name":"Doddipatla, Rama","last_name":"Doddipatla"},{"first_name":"Reinhold","id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach"}],"abstract":[{"text":"Despite the strong modeling power of neural network acoustic models, speech enhancement has been shown to deliver additional word error rate improvements if multi-channel data is available. However, there has been a longstanding debate whether enhancement should also be carried out on the ASR training data. In an extensive experimental evaluation on the acoustically very challenging CHiME-5 dinner party data we show that: (i) cleaning up the training data can lead to substantial error rate reductions, and (ii) enhancement in training is advisable as long as enhancement in test is at least as strong as in training. This approach stands in contrast and delivers larger gains than the common strategy reported in the literature to augment the training database with additional artificially degraded speech. Together with an acoustic model topology consisting of initial CNN layers followed by factorized TDNN layers we achieve with 41.6% and 43.2% WER on the DEV and EVAL test sets, respectively, a new single-system state-of-the-art result on the CHiME-5 data. This is a 8% relative improvement compared to the best word error rate published so far for a speech recognizer without system combination.","lang":"eng"}],"file":[{"date_updated":"2020-02-06T07:42:42Z","date_created":"2020-02-06T07:42:42Z","creator":"huesera","file_size":200256,"file_id":"15817","file_name":"ASRU_2019_Boeddeker_Paper.pdf","access_level":"open_access","content_type":"application/pdf","relation":"main_file"},{"access_level":"open_access","file_id":"15818","file_name":"ASRU_2019_Boeddeker_Poster.pdf","file_size":123963,"creator":"huesera","date_created":"2020-02-06T07:42:55Z","date_updated":"2020-02-06T07:42:55Z","relation":"main_file","content_type":"application/pdf"}],"status":"public","type":"conference","publication":"ASRU 2019, Sentosa, Singapore","ddc":["000"],"language":[{"iso":"eng"}],"file_date_updated":"2020-02-06T07:42:55Z","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"_id":"15816","user_id":"59789","department":[{"_id":"54"}]}]