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Ghasemzadeh Mohammadi, P.-E. Gaillardon, J. Zhang, G. De Micheli, E. Sanchez, M.S. Reorda, in: 2015 IEEE Computer Society Annual Symposium on VLSI, IEEE, 2015, pp. 491–496.","ieee":"H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, J. Zhang, G. De Micheli, E. Sanchez, and M. S. Reorda, “On the design of a fault tolerant ripple-carry adder with controllable-polarity transistors,” in <i>2015 IEEE Computer Society Annual Symposium on VLSI</i>, 2015, pp. 491–496.","apa":"Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., Zhang, J., De Micheli, G., Sanchez, E., &#38; Reorda, M. S. (2015). On the design of a fault tolerant ripple-carry adder with controllable-polarity transistors. In <i>2015 IEEE Computer Society Annual Symposium on VLSI</i> (pp. 491–496). IEEE. <a href=\"https://doi.org/10.1109/ISVLSI.2015.13\">https://doi.org/10.1109/ISVLSI.2015.13</a>"},"extern":"1","page":"491-496","publisher":"IEEE","_id":"10771","language":[{"iso":"eng"}],"doi":"10.1109/ISVLSI.2015.13","user_id":"3118","status":"public","title":"On the design of a fault tolerant ripple-carry adder with controllable-polarity transistors","year":"2015","author":[{"full_name":"Ghasemzadeh Mohammadi, Hassan","last_name":"Ghasemzadeh Mohammadi","first_name":"Hassan","id":"61186"},{"full_name":"Gaillardon, Pierre-Emmanuel","last_name":"Gaillardon","first_name":"Pierre-Emmanuel"},{"full_name":"Zhang, Jian","last_name":"Zhang","first_name":"Jian"},{"last_name":"De Micheli","first_name":"Giovanni","full_name":"De Micheli, Giovanni"},{"full_name":"Sanchez, Eduardo","first_name":"Eduardo","last_name":"Sanchez"},{"full_name":"Reorda, Matteo Sonza","last_name":"Reorda","first_name":"Matteo Sonza"}],"date_updated":"2022-01-06T06:50:50Z"},{"type":"conference","department":[{"_id":"78"}],"date_created":"2019-07-10T12:08:17Z","extern":"1","publication":"Proceedings of the 2015 Design, Automation & Test in Europe Conference \\& Exhibition","citation":{"ama":"Ghasemzadeh Mohammadi H, Gaillardon P-E, De Micheli G. Fault modeling in controllable polarity silicon nanowire circuits. In: <i>Proceedings of the 2015 Design, Automation &#38; Test in Europe Conference \\&#38; Exhibition</i>. EDA Consortium; 2015:453-458. doi:<a href=\"https://doi.org/10.7873/DATE.2015.0428\">10.7873/DATE.2015.0428</a>","bibtex":"@inproceedings{Ghasemzadeh Mohammadi_Gaillardon_De Micheli_2015, title={Fault modeling in controllable polarity silicon nanowire circuits}, DOI={<a href=\"https://doi.org/10.7873/DATE.2015.0428\">10.7873/DATE.2015.0428</a>}, booktitle={Proceedings of the 2015 Design, Automation &#38; Test in Europe Conference \\&#38; Exhibition}, publisher={EDA Consortium}, author={Ghasemzadeh Mohammadi, Hassan and Gaillardon, Pierre-Emmanuel and De Micheli, Giovanni}, year={2015}, pages={453–458} }","mla":"Ghasemzadeh Mohammadi, Hassan, et al. “Fault Modeling in Controllable Polarity Silicon Nanowire Circuits.” <i>Proceedings of the 2015 Design, Automation &#38; Test in Europe Conference \\&#38; Exhibition</i>, EDA Consortium, 2015, pp. 453–58, doi:<a href=\"https://doi.org/10.7873/DATE.2015.0428\">10.7873/DATE.2015.0428</a>.","short":"H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, G. De Micheli, in: Proceedings of the 2015 Design, Automation &#38; Test in Europe Conference \\&#38; Exhibition, EDA Consortium, 2015, pp. 453–458.","chicago":"Ghasemzadeh Mohammadi, Hassan, Pierre-Emmanuel Gaillardon, and Giovanni De Micheli. “Fault Modeling in Controllable Polarity Silicon Nanowire Circuits.” In <i>Proceedings of the 2015 Design, Automation &#38; Test in Europe Conference \\&#38; Exhibition</i>, 453–58. EDA Consortium, 2015. <a href=\"https://doi.org/10.7873/DATE.2015.0428\">https://doi.org/10.7873/DATE.2015.0428</a>.","apa":"Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., &#38; De Micheli, G. (2015). Fault modeling in controllable polarity silicon nanowire circuits. In <i>Proceedings of the 2015 Design, Automation &#38; Test in Europe Conference \\&#38; Exhibition</i> (pp. 453–458). EDA Consortium. <a href=\"https://doi.org/10.7873/DATE.2015.0428\">https://doi.org/10.7873/DATE.2015.0428</a>","ieee":"H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, and G. De Micheli, “Fault modeling in controllable polarity silicon nanowire circuits,” in <i>Proceedings of the 2015 Design, Automation &#38; Test in Europe Conference \\&#38; Exhibition</i>, 2015, pp. 453–458."},"user_id":"3118","doi":"10.7873/DATE.2015.0428","page":"453-458","language":[{"iso":"eng"}],"_id":"10772","publisher":"EDA Consortium","date_updated":"2022-01-06T06:50:50Z","status":"public","title":"Fault modeling in controllable polarity silicon nanowire circuits","year":"2015","author":[{"id":"61186","full_name":"Ghasemzadeh Mohammadi, Hassan","first_name":"Hassan","last_name":"Ghasemzadeh Mohammadi"},{"first_name":"Pierre-Emmanuel","last_name":"Gaillardon","full_name":"Gaillardon, Pierre-Emmanuel"},{"first_name":"Giovanni","last_name":"De Micheli","full_name":"De Micheli, Giovanni"}]},{"date_updated":"2022-01-06T06:50:50Z","publication_identifier":{"issn":["1946-147X"]},"author":[{"last_name":"Guettatfi","first_name":"Zakarya","full_name":"Guettatfi, Zakarya"},{"full_name":"Kermia, Omar","first_name":"Omar","last_name":"Kermia"},{"first_name":"Abdelhakim","last_name":"Khouas","full_name":"Khouas, Abdelhakim"}],"year":"2015","status":"public","title":"Over effective hard real-time hardware tasks scheduling and allocation","doi":"10.1109/FPL.2015.7293994","user_id":"398","publisher":"Imperial College","_id":"10779","language":[{"iso":"eng"}],"extern":"1","citation":{"apa":"Guettatfi, Z., Kermia, O., &#38; Khouas, A. (2015). Over effective hard real-time hardware tasks scheduling and allocation. In <i>25th International Conference on Field Programmable Logic and Applications (FPL)</i>. Imperial College. <a href=\"https://doi.org/10.1109/FPL.2015.7293994\">https://doi.org/10.1109/FPL.2015.7293994</a>","ieee":"Z. Guettatfi, O. Kermia, and A. Khouas, “Over effective hard real-time hardware tasks scheduling and allocation,” in <i>25th International Conference on Field Programmable Logic and Applications (FPL)</i>, 2015.","short":"Z. Guettatfi, O. Kermia, A. Khouas, in: 25th International Conference on Field Programmable Logic and Applications (FPL), Imperial College, 2015.","chicago":"Guettatfi, Zakarya, Omar Kermia, and Abdelhakim Khouas. “Over Effective Hard Real-Time Hardware Tasks Scheduling and Allocation.” In <i>25th International Conference on Field Programmable Logic and Applications (FPL)</i>. Imperial College, 2015. <a href=\"https://doi.org/10.1109/FPL.2015.7293994\">https://doi.org/10.1109/FPL.2015.7293994</a>.","mla":"Guettatfi, Zakarya, et al. “Over Effective Hard Real-Time Hardware Tasks Scheduling and Allocation.” <i>25th International Conference on Field Programmable Logic and Applications (FPL)</i>, Imperial College, 2015, doi:<a href=\"https://doi.org/10.1109/FPL.2015.7293994\">10.1109/FPL.2015.7293994</a>.","ama":"Guettatfi Z, Kermia O, Khouas A. Over effective hard real-time hardware tasks scheduling and allocation. In: <i>25th International Conference on Field Programmable Logic and Applications (FPL)</i>. Imperial College; 2015. doi:<a href=\"https://doi.org/10.1109/FPL.2015.7293994\">10.1109/FPL.2015.7293994</a>","bibtex":"@inproceedings{Guettatfi_Kermia_Khouas_2015, title={Over effective hard real-time hardware tasks scheduling and allocation}, DOI={<a href=\"https://doi.org/10.1109/FPL.2015.7293994\">10.1109/FPL.2015.7293994</a>}, booktitle={25th International Conference on Field Programmable Logic and Applications (FPL)}, publisher={Imperial College}, author={Guettatfi, Zakarya and Kermia, Omar and Khouas, Abdelhakim}, year={2015} }"},"publication":"25th International Conference on Field Programmable Logic and Applications (FPL)","department":[{"_id":"78"}],"keyword":["embedded systems","field programmable gate arrays","operating systems (computers)","scheduling","μC/OS-II","FPGAs","OS foundation","SafeRTOS","Xenomai","chip utilization ration","complex time constraints","embedded systems","hard real-time hardware task allocation","hard real-time hardware task scheduling","hardware-software real-time operating systems","partially reconfigurable field-programmable gate arrays","resource constraints","safety-critical RTOS","Field programmable gate arrays","Hardware","Job shop scheduling","Real-time systems","Shape","Software"],"type":"conference","date_created":"2019-07-10T12:11:36Z"},{"date_created":"2019-07-12T05:27:19Z","department":[{"_id":"54"}],"oa":"1","type":"conference","keyword":["speech enhancement","noise tracking","optimal smoothing"],"citation":{"apa":"Chinaev, A., &#38; Haeb-Umbach, R. (2015). On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In <i>Interspeech 2015</i> (pp. 1785–1789).","ieee":"A. Chinaev and R. Haeb-Umbach, “On Optimal Smoothing in Minimum Statistics Based Noise Tracking,” in <i>Interspeech 2015</i>, 2015, pp. 1785–1789.","short":"A. Chinaev, R. Haeb-Umbach, in: Interspeech 2015, 2015, pp. 1785–1789.","chicago":"Chinaev, Aleksej, and Reinhold Haeb-Umbach. “On Optimal Smoothing in Minimum Statistics Based Noise Tracking.” In <i>Interspeech 2015</i>, 1785–89, 2015.","mla":"Chinaev, Aleksej, and Reinhold Haeb-Umbach. “On Optimal Smoothing in Minimum Statistics Based Noise Tracking.” <i>Interspeech 2015</i>, 2015, pp. 1785–89.","ama":"Chinaev A, Haeb-Umbach R. On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In: <i>Interspeech 2015</i>. ; 2015:1785-1789.","bibtex":"@inproceedings{Chinaev_Haeb-Umbach_2015, title={On Optimal Smoothing in Minimum Statistics Based Noise Tracking}, booktitle={Interspeech 2015}, author={Chinaev, Aleksej and Haeb-Umbach, Reinhold}, year={2015}, pages={1785–1789} }"},"publication":"Interspeech 2015","related_material":{"link":[{"description":"Poster","relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2015/ChHa15_Poster.pdf"}]},"abstract":[{"lang":"eng","text":"Noise tracking is an important component of speech enhancement algorithms. Of the many noise trackers proposed, Minimum Statistics (MS) is a particularly popular one due to its simple parameterization and at the same time excellent performance. In this paper we propose to further reduce the number of MS parameters by giving an alternative derivation of an optimal smoothing constant. At the same time the noise tracking performance is improved as is demonstrated by experiments employing speech degraded by various noise types and at different SNR values."}],"language":[{"iso":"eng"}],"_id":"11739","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/ChHa15.pdf","open_access":"1"}],"page":"1785-1789","user_id":"44006","author":[{"first_name":"Aleksej","last_name":"Chinaev","full_name":"Chinaev, Aleksej"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"title":"On Optimal Smoothing in Minimum Statistics Based Noise Tracking","year":"2015","status":"public","date_updated":"2022-01-06T06:51:08Z"},{"related_material":{"link":[{"description":"Poster","relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DeWaHa_Poster.pdf"}]},"abstract":[{"text":"We present a semantic analysis technique for spoken input using Markov Logic Networks (MLNs). MLNs combine graphical models with first-order logic. They areparticularly suitable for providing inference in the presence of inconsistent and incomplete data, which are typical of an automatic speech recognizer's (ASR) output in the presence of degraded speech. The target application is a speech interface to a home automation system to be operated by people with speech impairments, where the ASR output is particularly noisy. In order to cater for dysarthric speech with non-canonical phoneme realizations, acoustic representations of the input speech are learned in an unsupervised fashion. While training data transcripts are not required for the acoustic model training, the MLN training requires supervision, however, at a rather loose and abstract level. Results on two databases, one of them for dysarthric speech, show that MLN-based semantic analysis clearly outperforms baseline approaches employing non-negative matrix factorization, multinomial naive Bayes models, or support vector machines.","lang":"eng"}],"publication":"INTERSPEECH 2015","citation":{"apa":"Despotovic, V., Walter, O., &#38; Haeb-Umbach, R. (2015). Semantic Analysis of Spoken Input using Markov Logic Networks. In <i>INTERSPEECH 2015</i>.","mla":"Despotovic, Vladimir, et al. “Semantic Analysis of Spoken Input Using Markov Logic Networks.” <i>INTERSPEECH 2015</i>, 2015.","ieee":"V. Despotovic, O. Walter, and R. Haeb-Umbach, “Semantic Analysis of Spoken Input using Markov Logic Networks,” in <i>INTERSPEECH 2015</i>, 2015.","ama":"Despotovic V, Walter O, Haeb-Umbach R. Semantic Analysis of Spoken Input using Markov Logic Networks. In: <i>INTERSPEECH 2015</i>. ; 2015.","short":"V. Despotovic, O. Walter, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.","chicago":"Despotovic, Vladimir, Oliver Walter, and Reinhold Haeb-Umbach. “Semantic Analysis of Spoken Input Using Markov Logic Networks.” In <i>INTERSPEECH 2015</i>, 2015.","bibtex":"@inproceedings{Despotovic_Walter_Haeb-Umbach_2015, title={Semantic Analysis of Spoken Input using Markov Logic Networks}, booktitle={INTERSPEECH 2015}, author={Despotovic, Vladimir and Walter, Oliver and Haeb-Umbach, Reinhold}, year={2015} }"},"type":"conference","department":[{"_id":"54"}],"oa":"1","date_created":"2019-07-12T05:27:30Z","date_updated":"2022-01-06T06:51:08Z","year":"2015","status":"public","title":"Semantic Analysis of Spoken Input using Markov Logic Networks","author":[{"last_name":"Despotovic","first_name":"Vladimir","full_name":"Despotovic, Vladimir"},{"first_name":"Oliver","last_name":"Walter","full_name":"Walter, Oliver"},{"full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach","id":"242"}],"user_id":"44006","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DeWaHa.pdf"}],"_id":"11748","language":[{"iso":"eng"}]},{"status":"public","title":"DOA-Estimation based on a Complex Watson Kernel Method","year":"2015","author":[{"id":"11213","full_name":"Drude, Lukas","last_name":"Drude","first_name":"Lukas"},{"full_name":"Jacob, Florian","last_name":"Jacob","first_name":"Florian"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}],"date_updated":"2022-01-06T06:51:08Z","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DrJaHa15.pdf"}],"language":[{"iso":"eng"}],"_id":"11755","user_id":"44006","publication":"23th European Signal Processing Conference (EUSIPCO 2015)","citation":{"bibtex":"@inproceedings{Drude_Jacob_Haeb-Umbach_2015, title={DOA-Estimation based on a Complex Watson Kernel Method}, booktitle={23th European Signal Processing Conference (EUSIPCO 2015)}, author={Drude, Lukas and Jacob, Florian and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Drude L, Jacob F, Haeb-Umbach R. DOA-Estimation based on a Complex Watson Kernel Method. In: <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>. ; 2015.","mla":"Drude, Lukas, et al. “DOA-Estimation Based on a Complex Watson Kernel Method.” <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>, 2015.","short":"L. Drude, F. Jacob, R. Haeb-Umbach, in: 23th European Signal Processing Conference (EUSIPCO 2015), 2015.","chicago":"Drude, Lukas, Florian Jacob, and Reinhold Haeb-Umbach. “DOA-Estimation Based on a Complex Watson Kernel Method.” In <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>, 2015.","ieee":"L. Drude, F. Jacob, and R. Haeb-Umbach, “DOA-Estimation based on a Complex Watson Kernel Method,” in <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>, 2015.","apa":"Drude, L., Jacob, F., &#38; Haeb-Umbach, R. (2015). DOA-Estimation based on a Complex Watson Kernel Method. In <i>23th European Signal Processing Conference (EUSIPCO 2015)</i>."},"related_material":{"link":[{"relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DrJaHa15_Presentation.pdf","description":"Presentation"}]},"abstract":[{"lang":"eng","text":"This contribution presents a Direction of Arrival (DoA) estimation algorithm based on the complex Watson distribution to incorporate both phase and level differences of captured micro- phone array signals. The derived algorithm is reviewed in the context of the Generalized State Coherence Transform (GSCT) on the one hand and a kernel density estimation method on the other hand. A thorough simulative evaluation yields insight into parameter selection and provides details on the performance for both directional and omni-directional microphones. A comparison to the well known Steered Response Power with Phase Transform (SRP-PHAT) algorithm and a state of the art DoA estimator which explicitly accounts for aliasing, shows in particular the advantages of presented algorithm if inter-sensor level differences are indicative of the DoA, as with directional microphones."}],"date_created":"2019-07-12T05:27:38Z","type":"conference","oa":"1","department":[{"_id":"54"}]},{"date_updated":"2022-01-06T06:51:09Z","author":[{"last_name":"Heymann","first_name":"Jahn","full_name":"Heymann, Jahn","id":"9168"},{"full_name":"Drude, Lukas","first_name":"Lukas","last_name":"Drude","id":"11213"},{"last_name":"Chinaev","first_name":"Aleksej","full_name":"Chinaev, Aleksej"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"status":"public","title":"BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge","year":"2015","user_id":"44006","_id":"11810","language":[{"iso":"eng"}],"citation":{"ama":"Heymann J, Drude L, Chinaev A, Haeb-Umbach R. BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In: <i>Automatic Speech Recognition and Understanding Workshop (ASRU 2015)</i>. ; 2015.","bibtex":"@inproceedings{Heymann_Drude_Chinaev_Haeb-Umbach_2015, title={BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge}, booktitle={Automatic Speech Recognition and Understanding Workshop (ASRU 2015)}, author={Heymann, Jahn and Drude, Lukas and Chinaev, Aleksej and Haeb-Umbach, Reinhold}, year={2015} }","mla":"Heymann, Jahn, et al. “BLSTM Supported GEV Beamformer Front-End for the 3RD CHiME Challenge.” <i>Automatic Speech Recognition and Understanding Workshop (ASRU 2015)</i>, 2015.","chicago":"Heymann, Jahn, Lukas Drude, Aleksej Chinaev, and Reinhold Haeb-Umbach. “BLSTM Supported GEV Beamformer Front-End for the 3RD CHiME Challenge.” In <i>Automatic Speech Recognition and Understanding Workshop (ASRU 2015)</i>, 2015.","short":"J. Heymann, L. Drude, A. Chinaev, R. Haeb-Umbach, in: Automatic Speech Recognition and Understanding Workshop (ASRU 2015), 2015.","apa":"Heymann, J., Drude, L., Chinaev, A., &#38; Haeb-Umbach, R. (2015). BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In <i>Automatic Speech Recognition and Understanding Workshop (ASRU 2015)</i>.","ieee":"J. Heymann, L. Drude, A. Chinaev, and R. Haeb-Umbach, “BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge,” in <i>Automatic Speech Recognition and Understanding Workshop (ASRU 2015)</i>, 2015."},"publication":"Automatic Speech Recognition and Understanding Workshop (ASRU 2015)","department":[{"_id":"54"}],"type":"conference","date_created":"2019-07-12T05:28:41Z"},{"abstract":[{"lang":"eng","text":"The parametric Bayesian Feature Enhancement (BFE) and a datadriven Denoising Autoencoder (DA) both bring performance gains in severe single-channel speech recognition conditions. The first can be adjusted to different conditions by an appropriate parameter setting, while the latter needs to be trained on conditions similar to the ones expected at decoding time, making it vulnerable to a mismatch between training and test conditions. We use a DNN backend and study reverberant ASR under three types of mismatch conditions: different room reverberation times, different speaker to microphone distances and the difference between artificially reverberated data and the recordings in a reverberant environment. We show that for these mismatch conditions BFE can provide the targets for a DA. This unsupervised adaptation provides a performance gain over the direct use of BFE and even enables to compensate for the mismatch of real and simulated reverberant data."}],"citation":{"chicago":"Heymann, Jahn, Reinhold Haeb-Umbach, P. Golik, and R. Schlueter. “Unsupervised Adaptation of a Denoising Autoencoder by Bayesian Feature Enhancement for Reverberant Asr under Mismatch Conditions.” In <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>, 5053–57, 2015. <a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">https://doi.org/10.1109/ICASSP.2015.7178933</a>.","short":"J. Heymann, R. Haeb-Umbach, P. Golik, R. Schlueter, in: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On, 2015, pp. 5053–5057.","apa":"Heymann, J., Haeb-Umbach, R., Golik, P., &#38; Schlueter, R. (2015). Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on</i> (pp. 5053–5057). <a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">https://doi.org/10.1109/ICASSP.2015.7178933</a>","ieee":"J. Heymann, R. Haeb-Umbach, P. Golik, and R. Schlueter, “Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions,” in <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on</i>, 2015, pp. 5053–5057.","ama":"Heymann J, Haeb-Umbach R, Golik P, Schlueter R. Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In: <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>. ; 2015:5053-5057. doi:<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>","bibtex":"@inproceedings{Heymann_Haeb-Umbach_Golik_Schlueter_2015, title={Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>}, booktitle={Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on}, author={Heymann, Jahn and Haeb-Umbach, Reinhold and Golik, P. and Schlueter, R.}, year={2015}, pages={5053–5057} }","mla":"Heymann, Jahn, et al. “Unsupervised Adaptation of a Denoising Autoencoder by Bayesian Feature Enhancement for Reverberant Asr under Mismatch Conditions.” <i>Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On</i>, 2015, pp. 5053–57, doi:<a href=\"https://doi.org/10.1109/ICASSP.2015.7178933\">10.1109/ICASSP.2015.7178933</a>."},"publication":"Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on","oa":"1","department":[{"_id":"54"}],"type":"conference","keyword":["codecs","signal denoising","speech recognition","Bayesian feature enhancement","denoising autoencoder","reverberant ASR","single-channel speech recognition","speaker to microphone distances","unsupervised adaptation","Adaptation models","Noise reduction","Reverberation","Speech","Speech recognition","Training","deep neuronal networks","denoising autoencoder","feature enhancement","robust speech recognition"],"date_created":"2019-07-12T05:28:45Z","date_updated":"2022-01-06T06:51:09Z","author":[{"id":"9168","first_name":"Jahn","last_name":"Heymann","full_name":"Heymann, Jahn"},{"full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold","id":"242"},{"full_name":"Golik, P.","last_name":"Golik","first_name":"P."},{"full_name":"Schlueter, R.","last_name":"Schlueter","first_name":"R."}],"year":"2015","status":"public","title":"Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions","doi":"10.1109/ICASSP.2015.7178933","user_id":"44006","_id":"11813","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/hey_icassp_2015.pdf"}],"page":"5053-5057"},{"citation":{"chicago":"Jacob, Florian, and Reinhold Haeb-Umbach. “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network.” <i>ArXiv E-Prints</i>, 2015.","short":"F. Jacob, R. Haeb-Umbach, ArXiv E-Prints (2015).","ieee":"F. Jacob and R. Haeb-Umbach, “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network,” <i>ArXiv e-prints</i>, 2015.","apa":"Jacob, F., &#38; Haeb-Umbach, R. (2015). Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. <i>ArXiv E-Prints</i>.","bibtex":"@article{Jacob_Haeb-Umbach_2015, title={Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network}, journal={ArXiv e-prints}, author={Jacob, Florian and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Jacob F, Haeb-Umbach R. Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. <i>ArXiv e-prints</i>. 2015.","mla":"Jacob, Florian, and Reinhold Haeb-Umbach. “Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network.” <i>ArXiv E-Prints</i>, 2015."},"publication":"ArXiv e-prints","abstract":[{"text":"Joint audio-visual speaker tracking requires that the locations of microphones and cameras are known and that they are given in a common coordinate system. Sensor self-localization algorithms, however, are usually separately developed for either the acoustic or the visual modality and return their positions in a modality specific coordinate system, often with an unknown rotation, scaling and translation between the two. In this paper we propose two techniques to determine the positions of acoustic sensors in a common coordinate system, based on audio-visual correlates, i.e., events that are localized by both, microphones and cameras separately. The first approach maps the output of an acoustic self-calibration algorithm by estimating rotation, scale and translation to the visual coordinate system, while the second solves a joint system of equations with acoustic and visual directions of arrival as input. The evaluation of the two strategies reveals that joint calibration outperforms the mapping approach and achieves an overall calibration error of 0.20m even in reverberant environments.","lang":"eng"}],"date_created":"2019-07-12T05:29:05Z","oa":"1","department":[{"_id":"54"}],"type":"journal_article","author":[{"first_name":"Florian","last_name":"Jacob","full_name":"Jacob, Florian"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"}],"year":"2015","title":"Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network","status":"public","date_updated":"2022-01-06T06:51:11Z","language":[{"iso":"eng"}],"_id":"11830","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/JaHa2015.pdf","open_access":"1"}],"user_id":"44006"},{"oa":"1","department":[{"_id":"54"}],"type":"book","date_created":"2019-07-12T05:29:49Z","related_material":{"link":[{"description":"Sample-Chapter","relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2015/RASR_Chap5.pdf"},{"description":"Store","url":"http://store.elsevier.com/9780128023983","relation":"supplementary_material"}]},"citation":{"bibtex":"@book{Li_Deng_Haeb-Umbach_Gong_2015, title={Robust Automatic Speech Recognition}, publisher={Elsevier}, author={Li, Jinyu and Deng, Li and Haeb-Umbach, Reinhold and Gong, Y.}, year={2015} }","ama":"Li J, Deng L, Haeb-Umbach R, Gong Y. <i>Robust Automatic Speech Recognition</i>. Elsevier; 2015.","mla":"Li, Jinyu, et al. <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","chicago":"Li, Jinyu, Li Deng, Reinhold Haeb-Umbach, and Y. Gong. <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","short":"J. Li, L. Deng, R. Haeb-Umbach, Y. Gong, Robust Automatic Speech Recognition, Elsevier, 2015.","ieee":"J. Li, L. Deng, R. Haeb-Umbach, and Y. Gong, <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","apa":"Li, J., Deng, L., Haeb-Umbach, R., &#38; Gong, Y. (2015). <i>Robust Automatic Speech Recognition</i>. Elsevier."},"user_id":"44006","_id":"11868","publisher":"Elsevier","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"http://store.elsevier.com/Robust-Automatic-Speech-Recognition/Jinyu-Li/isbn-9780128023983/"}],"date_updated":"2022-01-06T06:51:11Z","author":[{"last_name":"Li","first_name":"Jinyu","full_name":"Li, Jinyu"},{"full_name":"Deng, Li","first_name":"Li","last_name":"Deng"},{"last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242"},{"full_name":"Gong, Y.","last_name":"Gong","first_name":"Y."}],"status":"public","title":"Robust Automatic Speech Recognition","year":"2015"},{"date_updated":"2022-01-06T06:51:11Z","author":[{"first_name":"Erik","last_name":"Marchi","full_name":"Marchi, Erik"},{"full_name":"Schuller, Bjoern","last_name":"Schuller","first_name":"Bjoern"},{"full_name":"Baron-Cohen, Simon","last_name":"Baron-Cohen","first_name":"Simon"},{"first_name":"Ofer","last_name":"Golan","full_name":"Golan, Ofer"},{"full_name":"Boelte, Sven","first_name":"Sven","last_name":"Boelte"},{"full_name":"Arora, Prerna","last_name":"Arora","first_name":"Prerna"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold","last_name":"Haeb-Umbach"}],"title":"Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages","year":"2015","status":"public","user_id":"44006","language":[{"iso":"eng"}],"_id":"11875","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/MaScBaOfSvPrHa.pdf","open_access":"1"}],"abstract":[{"text":"Only a few studies exist on automatic emotion analysis of speech from children with Autism Spectrum Conditions (ASC). Out of these, some preliminary studies have recently focused on comparing the relevance of selected prosodic features against large sets of acoustic, spectral, and cepstral features; however, no study so far provided a comparison of performances across different languages. The present contribution aims to fill this white spot in the literature and provide insight by extensive evaluations carried out on three databases of prompted phrases collected in English, Swedish, and Hebrew, inducing nine emotion categories embedded in short-stories. The datasets contain speech of children with ASC and typically developing children under the same conditions. We evaluate automatic diagnosis and recognition of emotions in atypical childrens voice over the nine categories including binary valence/arousal discrimination.","lang":"eng"}],"citation":{"bibtex":"@inproceedings{Marchi_Schuller_Baron-Cohen_Golan_Boelte_Arora_Haeb-Umbach_2015, title={Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages}, booktitle={INTERSPEECH 2015}, author={Marchi, Erik and Schuller, Bjoern and Baron-Cohen, Simon and Golan, Ofer and Boelte, Sven and Arora, Prerna and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Marchi E, Schuller B, Baron-Cohen S, et al. Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In: <i>INTERSPEECH 2015</i>. ; 2015.","mla":"Marchi, Erik, et al. “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages.” <i>INTERSPEECH 2015</i>, 2015.","chicago":"Marchi, Erik, Bjoern Schuller, Simon Baron-Cohen, Ofer Golan, Sven Boelte, Prerna Arora, and Reinhold Haeb-Umbach. “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages.” In <i>INTERSPEECH 2015</i>, 2015.","short":"E. Marchi, B. Schuller, S. Baron-Cohen, O. Golan, S. Boelte, P. Arora, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015.","ieee":"E. Marchi <i>et al.</i>, “Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages,” in <i>INTERSPEECH 2015</i>, 2015.","apa":"Marchi, E., Schuller, B., Baron-Cohen, S., Golan, O., Boelte, S., Arora, P., &#38; Haeb-Umbach, R. (2015). Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In <i>INTERSPEECH 2015</i>."},"publication":"INTERSPEECH 2015","oa":"1","department":[{"_id":"54"}],"type":"conference","date_created":"2019-07-12T05:29:57Z"},{"language":[{"iso":"eng"}],"_id":"11919","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaDrHa15.pdf","open_access":"1"}],"user_id":"44006","author":[{"full_name":"Walter, Oliver","last_name":"Walter","first_name":"Oliver"},{"id":"11213","last_name":"Drude","first_name":"Lukas","full_name":"Drude, Lukas"},{"last_name":"Haeb-Umbach","first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"status":"public","title":"Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model","year":"2015","date_updated":"2022-01-06T06:51:12Z","date_created":"2019-07-12T05:30:47Z","oa":"1","department":[{"_id":"54"}],"type":"conference","citation":{"mla":"Walter, Oliver, et al. “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an Infinite Gaussian Mixture Model.” <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015.","bibtex":"@inproceedings{Walter_Drude_Haeb-Umbach_2015, title={Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model}, booktitle={40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)}, author={Walter, Oliver and Drude, Lukas and Haeb-Umbach, Reinhold}, year={2015} }","ama":"Walter O, Drude L, Haeb-Umbach R. Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In: <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>. ; 2015.","ieee":"O. Walter, L. Drude, and R. Haeb-Umbach, “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model,” in <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015.","apa":"Walter, O., Drude, L., &#38; Haeb-Umbach, R. (2015). Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>.","chicago":"Walter, Oliver, Lukas Drude, and Reinhold Haeb-Umbach. “Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an Infinite Gaussian Mixture Model.” In <i>40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)</i>, 2015.","short":"O. Walter, L. Drude, R. Haeb-Umbach, in: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015."},"publication":"40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)","related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaDrHa15_Poster.pdf","relation":"supplementary_material","description":"Poster"}]},"abstract":[{"text":"In this paper we present a source counting algorithm to determine the number of speakers in a speech mixture. In our proposed method, we model the histogram of estimated directions of arrival with a nonparametric Bayesian infinite Gaussian mixture model. As an alternative to classical model selection criteria and to avoid specifying the maximum number of mixture components in advance, a Dirichlet process prior is employed over the mixture components. This allows to automatically determine the optimal number of mixture components that most probably model the observations. We demonstrate by experiments that this model outperforms a parametric approach using a finite Gaussian mixture model with a Dirichlet distribution prior over the mixture weights.","lang":"eng"}]}]