[{"type":"conference","publication":"INTERSPEECH 2015","status":"public","abstract":[{"lang":"eng","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."}],"user_id":"44006","department":[{"_id":"54"}],"_id":"11748","language":[{"iso":"eng"}],"related_material":{"link":[{"description":"Poster","relation":"supplementary_material","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DeWaHa_Poster.pdf"}]},"citation":{"chicago":"Despotovic, Vladimir, Oliver Walter, and Reinhold Haeb-Umbach. “Semantic Analysis of Spoken Input Using Markov Logic Networks.” In <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.","apa":"Despotovic, V., Walter, O., &#38; Haeb-Umbach, R. (2015). Semantic Analysis of Spoken Input using Markov Logic Networks. In <i>INTERSPEECH 2015</i>.","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} }","mla":"Despotovic, Vladimir, et al. “Semantic Analysis of Spoken Input Using Markov Logic Networks.” <i>INTERSPEECH 2015</i>, 2015.","short":"V. Despotovic, O. Walter, R. Haeb-Umbach, in: INTERSPEECH 2015, 2015."},"year":"2015","author":[{"last_name":"Despotovic","full_name":"Despotovic, Vladimir","first_name":"Vladimir"},{"last_name":"Walter","full_name":"Walter, Oliver","first_name":"Oliver"},{"first_name":"Reinhold","id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach"}],"date_created":"2019-07-12T05:27:30Z","oa":"1","date_updated":"2022-01-06T06:51:08Z","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/DeWaHa.pdf","open_access":"1"}],"title":"Semantic Analysis of Spoken Input using Markov Logic Networks"},{"language":[{"iso":"eng"}],"user_id":"44006","department":[{"_id":"54"}],"_id":"11755","status":"public","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."}],"type":"conference","publication":"23th European Signal Processing Conference (EUSIPCO 2015)","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DrJaHa15.pdf"}],"title":"DOA-Estimation based on a Complex Watson Kernel Method","author":[{"first_name":"Lukas","full_name":"Drude, Lukas","id":"11213","last_name":"Drude"},{"first_name":"Florian","full_name":"Jacob, Florian","last_name":"Jacob"},{"last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242","first_name":"Reinhold"}],"date_created":"2019-07-12T05:27:38Z","oa":"1","date_updated":"2022-01-06T06:51:08Z","citation":{"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.","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.","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.","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>.","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} }","short":"L. Drude, F. Jacob, R. Haeb-Umbach, in: 23th European Signal Processing Conference (EUSIPCO 2015), 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."},"year":"2015","related_material":{"link":[{"relation":"supplementary_material","description":"Presentation","url":"https://groups.uni-paderborn.de/nt/pubs/2015/DrJaHa15_Presentation.pdf"}]}},{"page":"5053-5057","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>.","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>","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>","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>.","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} }","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."},"year":"2015","date_created":"2019-07-12T05:28:45Z","author":[{"first_name":"Jahn","last_name":"Heymann","id":"9168","full_name":"Heymann, Jahn"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"},{"first_name":"P.","last_name":"Golik","full_name":"Golik, P."},{"first_name":"R.","last_name":"Schlueter","full_name":"Schlueter, R."}],"date_updated":"2022-01-06T06:51:09Z","oa":"1","doi":"10.1109/ICASSP.2015.7178933","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/hey_icassp_2015.pdf","open_access":"1"}],"title":"Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions","publication":"Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on","type":"conference","status":"public","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."}],"department":[{"_id":"54"}],"user_id":"44006","_id":"11813","language":[{"iso":"eng"}],"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"]},{"title":"Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/JaHa2015.pdf","open_access":"1"}],"oa":"1","date_updated":"2022-01-06T06:51:11Z","date_created":"2019-07-12T05:29:05Z","author":[{"first_name":"Florian","full_name":"Jacob, Florian","last_name":"Jacob"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242"}],"year":"2015","citation":{"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>.","short":"F. Jacob, R. Haeb-Umbach, ArXiv E-Prints (2015).","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} }","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.","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.","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.","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."},"language":[{"iso":"eng"}],"_id":"11830","department":[{"_id":"54"}],"user_id":"44006","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"}],"status":"public","publication":"ArXiv e-prints","type":"journal_article"},{"title":"Robust Automatic Speech Recognition","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","oa":"1","publisher":"Elsevier","date_created":"2019-07-12T05:29:49Z","author":[{"first_name":"Jinyu","last_name":"Li","full_name":"Li, Jinyu"},{"first_name":"Li","full_name":"Deng, Li","last_name":"Deng"},{"last_name":"Haeb-Umbach","id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold"},{"last_name":"Gong","full_name":"Gong, Y.","first_name":"Y."}],"year":"2015","citation":{"chicago":"Li, Jinyu, Li Deng, Reinhold Haeb-Umbach, and Y. Gong. <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","ieee":"J. Li, L. Deng, R. Haeb-Umbach, and Y. Gong, <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","ama":"Li J, Deng L, Haeb-Umbach R, Gong Y. <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.","mla":"Li, Jinyu, et al. <i>Robust Automatic Speech Recognition</i>. Elsevier, 2015.","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} }","short":"J. Li, L. Deng, R. Haeb-Umbach, Y. Gong, Robust Automatic Speech Recognition, Elsevier, 2015."},"related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/RASR_Chap5.pdf","description":"Sample-Chapter","relation":"supplementary_material"},{"description":"Store","relation":"supplementary_material","url":"http://store.elsevier.com/9780128023983"}]},"language":[{"iso":"eng"}],"_id":"11868","user_id":"44006","department":[{"_id":"54"}],"status":"public","type":"book"},{"citation":{"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>.","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} }","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.","short":"E. Marchi, B. Schuller, S. Baron-Cohen, O. Golan, S. Boelte, P. Arora, R. Haeb-Umbach, in: INTERSPEECH 2015, 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.","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.","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."},"year":"2015","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/MaScBaOfSvPrHa.pdf"}],"title":"Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages","author":[{"first_name":"Erik","full_name":"Marchi, Erik","last_name":"Marchi"},{"full_name":"Schuller, Bjoern","last_name":"Schuller","first_name":"Bjoern"},{"first_name":"Simon","full_name":"Baron-Cohen, Simon","last_name":"Baron-Cohen"},{"full_name":"Golan, Ofer","last_name":"Golan","first_name":"Ofer"},{"first_name":"Sven","full_name":"Boelte, Sven","last_name":"Boelte"},{"full_name":"Arora, Prerna","last_name":"Arora","first_name":"Prerna"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"}],"date_created":"2019-07-12T05:29:57Z","date_updated":"2022-01-06T06:51:11Z","oa":"1","status":"public","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"}],"type":"conference","publication":"INTERSPEECH 2015","language":[{"iso":"eng"}],"user_id":"44006","department":[{"_id":"54"}],"_id":"11875"},{"author":[{"last_name":"Walter","full_name":"Walter, Oliver","first_name":"Oliver"},{"first_name":"Lukas","last_name":"Drude","id":"11213","full_name":"Drude, Lukas"},{"last_name":"Haeb-Umbach","id":"242","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold"}],"date_created":"2019-07-12T05:30:47Z","date_updated":"2022-01-06T06:51:12Z","oa":"1","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaDrHa15.pdf","open_access":"1"}],"title":"Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model","related_material":{"link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaDrHa15_Poster.pdf","relation":"supplementary_material","description":"Poster"}]},"citation":{"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>.","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} }","short":"O. Walter, L. Drude, R. Haeb-Umbach, in: 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), 2015.","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.","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.","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.","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."},"year":"2015","department":[{"_id":"54"}],"user_id":"44006","_id":"11919","language":[{"iso":"eng"}],"publication":"40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)","type":"conference","status":"public","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"}]},{"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaHaMoPaHa15.pdf","open_access":"1"}],"doi":"http://dx.doi.org/10.1007/s13218-015-0372-1","title":"Autonomous Learning of Representations","date_created":"2019-07-12T05:30:51Z","author":[{"first_name":"Oliver","full_name":"Walter, Oliver","last_name":"Walter"},{"id":"242","full_name":"Haeb-Umbach, Reinhold","last_name":"Haeb-Umbach","first_name":"Reinhold"},{"last_name":"Mokbel","full_name":"Mokbel, Bassam","first_name":"Bassam"},{"full_name":"Paassen, Benjamin","last_name":"Paassen","first_name":"Benjamin"},{"first_name":"Barbara","last_name":"Hammer","full_name":"Hammer, Barbara"}],"date_updated":"2022-01-06T06:51:12Z","oa":"1","citation":{"mla":"Walter, Oliver, et al. “Autonomous Learning of Representations.” <i>KI - Kuenstliche Intelligenz</i>, 2015, pp. 1–13, doi:<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>.","bibtex":"@article{Walter_Haeb-Umbach_Mokbel_Paassen_Hammer_2015, title={Autonomous Learning of Representations}, DOI={<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>}, journal={KI - Kuenstliche Intelligenz}, author={Walter, Oliver and Haeb-Umbach, Reinhold and Mokbel, Bassam and Paassen, Benjamin and Hammer, Barbara}, year={2015}, pages={1–13} }","short":"O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, B. Hammer, KI - Kuenstliche Intelligenz (2015) 1–13.","apa":"Walter, O., Haeb-Umbach, R., Mokbel, B., Paassen, B., &#38; Hammer, B. (2015). Autonomous Learning of Representations. <i>KI - Kuenstliche Intelligenz</i>, 1–13. <a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>","ama":"Walter O, Haeb-Umbach R, Mokbel B, Paassen B, Hammer B. Autonomous Learning of Representations. <i>KI - Kuenstliche Intelligenz</i>. 2015:1-13. doi:<a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>","ieee":"O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, and B. Hammer, “Autonomous Learning of Representations,” <i>KI - Kuenstliche Intelligenz</i>, pp. 1–13, 2015.","chicago":"Walter, Oliver, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paassen, and Barbara Hammer. “Autonomous Learning of Representations.” <i>KI - Kuenstliche Intelligenz</i>, 2015, 1–13. <a href=\"http://dx.doi.org/10.1007/s13218-015-0372-1\">http://dx.doi.org/10.1007/s13218-015-0372-1</a>."},"page":"1-13","year":"2015","language":[{"iso":"eng"}],"keyword":["Representation learning","Metric learning","Deep representation","Spoken language"],"user_id":"44006","department":[{"_id":"54"}],"_id":"11922","status":"public","abstract":[{"lang":"eng","text":"Besides the core learning algorithm itself, one major question in machine learning is how to best encode given training data such that the learning technology can efficiently learn based thereon and generalize to novel data. While classical approaches often rely on a hand coded data representation, the topic of autonomous representation or feature learning plays a major role in modern learning architectures. The goal of this contribution is to give an overview about different principles of autonomous feature learning, and to exemplify two principles based on two recent examples: autonomous metric learning for sequences, and autonomous learning of a deep representation for spoken language, respectively."}],"type":"journal_article","publication":"KI - Kuenstliche Intelligenz"},{"year":"2015","citation":{"ieee":"O. Walter, R. Haeb-Umbach, J. Strunk, and N. P. Himmelmann, <i>Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>. 2015.","chicago":"Walter, Oliver, Reinhold Haeb-Umbach, Jan Strunk, and Nikolaus  P. Himmelmann. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>, 2015.","ama":"Walter O, Haeb-Umbach R, Strunk J, P. Himmelmann N. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>.; 2015.","apa":"Walter, O., Haeb-Umbach, R., Strunk, J., &#38; P. Himmelmann, N. (2015). <i>Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>.","short":"O. Walter, R. Haeb-Umbach, J. Strunk, N. P. Himmelmann, Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01), 2015.","mla":"Walter, Oliver, et al. <i>Lexicon Discovery for Language Preservation Using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)</i>. 2015.","bibtex":"@book{Walter_Haeb-Umbach_Strunk_P. Himmelmann_2015, title={Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)}, author={Walter, Oliver and Haeb-Umbach, Reinhold and Strunk, Jan and P. Himmelmann, Nikolaus }, year={2015} }"},"title":"Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01)","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaHaStHi.pdf","open_access":"1"}],"oa":"1","date_updated":"2022-01-06T06:51:12Z","author":[{"last_name":"Walter","full_name":"Walter, Oliver","first_name":"Oliver"},{"full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach","first_name":"Reinhold"},{"last_name":"Strunk","full_name":"Strunk, Jan","first_name":"Jan"},{"first_name":"Nikolaus ","last_name":"P. Himmelmann","full_name":"P. Himmelmann, Nikolaus "}],"date_created":"2019-07-12T05:30:52Z","abstract":[{"text":"In this paper we show that recently developed algorithms for unsupervised word segmentation can be a valuable tool for the documentation of endangered languages. We applied an unsupervised word segmentation algorithm based on a nested Pitman-Yor language model to two austronesian languages, Wooi and Waima'a. The algorithm was then modified and parameterized to cater the needs of linguists for high precision of lexical discovery: We obtained a lexicon precision of of 69.2\\% and 67.5\\% for Wooi and Waima'a, respectively, if single-letter words and words found less than three times were discarded. A comparison with an English word segmentation task showed comparable performance, verifying that the assumptions underlying the Pitman-Yor language model, the universality of Zipf's law and the power of n-gram structures, do also hold for languages as exotic as Wooi and Waima'a.","lang":"eng"}],"status":"public","type":"report","language":[{"iso":"eng"}],"_id":"11923","user_id":"44006","department":[{"_id":"54"}]},{"main_file_link":[{"url":"https://www.usenix.org/conference/woot15/workshop-program/presentation/kupser","open_access":"1"}],"title":"How to Break XML Encryption -- Automatically","author":[{"first_name":"Dennis","last_name":"Kupser","full_name":"Kupser, Dennis"},{"first_name":"Christian","full_name":"Mainka, Christian","last_name":"Mainka"},{"first_name":"Jö","last_name":"Schwenk","full_name":"Schwenk, Jö"},{"first_name":"Juraj","full_name":"Somorovsky, Juraj","id":"83504","orcid":"0000-0002-3593-7720","last_name":"Somorovsky"}],"date_created":"2020-02-15T10:04:54Z","publisher":"{USENIX} Association","date_updated":"2022-01-06T06:52:40Z","oa":"1","citation":{"apa":"Kupser, D., Mainka, C., Schwenk, J., &#38; Somorovsky, J. (2015). How to Break XML Encryption -- Automatically. In <i>9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)</i>. Washington, D.C.: {USENIX} Association.","short":"D. Kupser, C. Mainka, J. Schwenk, J. Somorovsky, in: 9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15), {USENIX} Association, Washington, D.C., 2015.","bibtex":"@inproceedings{Kupser_Mainka_Schwenk_Somorovsky_2015, place={Washington, D.C.}, title={How to Break XML Encryption -- Automatically}, booktitle={9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)}, publisher={{USENIX} Association}, author={Kupser, Dennis and Mainka, Christian and Schwenk, Jö and Somorovsky, Juraj}, year={2015} }","mla":"Kupser, Dennis, et al. “How to Break XML Encryption -- Automatically.” <i>9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)</i>, {USENIX} Association, 2015.","ama":"Kupser D, Mainka C, Schwenk J, Somorovsky J. How to Break XML Encryption -- Automatically. In: <i>9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)</i>. Washington, D.C.: {USENIX} Association; 2015.","ieee":"D. Kupser, C. Mainka, J. Schwenk, and J. Somorovsky, “How to Break XML Encryption -- Automatically,” in <i>9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)</i>, 2015.","chicago":"Kupser, Dennis, Christian Mainka, Jö Schwenk, and Juraj Somorovsky. “How to Break XML Encryption -- Automatically.” In <i>9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)</i>. Washington, D.C.: {USENIX} Association, 2015."},"place":"Washington, D.C.","year":"2015","extern":"1","language":[{"iso":"eng"}],"user_id":"83504","_id":"15911","status":"public","type":"conference","publication":"9th {USENIX} Workshop on Offensive Technologies ({WOOT} 15)"},{"date_updated":"2022-01-06T06:51:43Z","oa":"1","author":[{"full_name":"Gries, Thomas","last_name":"Gries","first_name":"Thomas"},{"first_name":"Rainer","last_name":"Grundmann","full_name":"Grundmann, Rainer"},{"last_name":"Palnau","orcid":"0000-0003-2039-8506","id":"8136","full_name":"Palnau, Irene","first_name":"Irene"},{"first_name":"Margarete","full_name":"Redlin, Margarete","id":"135","last_name":"Redlin"}],"date_created":"2018-03-19T13:44:01Z","title":"Does technological change drive inclusive industrialization? A review of major concepts and findings","main_file_link":[{"open_access":"1","url":"https://www.unido.org/sites/default/files/2016-01/WP_16_0.pdf"}],"year":"2015","citation":{"ieee":"T. Gries, R. Grundmann, I. Palnau, and M. Redlin, <i>Does technological change drive inclusive industrialization? A review of major concepts and findings</i>. 2015.","chicago":"Gries, Thomas, Rainer Grundmann, Irene Palnau, and Margarete Redlin. <i>Does Technological Change Drive Inclusive Industrialization? A Review of Major Concepts and Findings</i>. UNIDO Inclusive and Sustainable Industrial Development Working Paper Series, 2015.","ama":"Gries T, Grundmann R, Palnau I, Redlin M. <i>Does Technological Change Drive Inclusive Industrialization? A Review of Major Concepts and Findings</i>.; 2015.","apa":"Gries, T., Grundmann, R., Palnau, I., &#38; Redlin, M. (2015). <i>Does technological change drive inclusive industrialization? A review of major concepts and findings</i>.","bibtex":"@book{Gries_Grundmann_Palnau_Redlin_2015, series={UNIDO Inclusive and Sustainable Industrial Development Working Paper Series}, title={Does technological change drive inclusive industrialization? A review of major concepts and findings}, author={Gries, Thomas and Grundmann, Rainer and Palnau, Irene and Redlin, Margarete}, year={2015}, collection={UNIDO Inclusive and Sustainable Industrial Development Working Paper Series} }","mla":"Gries, Thomas, et al. <i>Does Technological Change Drive Inclusive Industrialization? A Review of Major Concepts and Findings</i>. 2015.","short":"T. Gries, R. Grundmann, I. Palnau, M. Redlin, Does Technological Change Drive Inclusive Industrialization? A Review of Major Concepts and Findings, 2015."},"_id":"1374","user_id":"135","series_title":"UNIDO Inclusive and Sustainable Industrial Development Working Paper Series","department":[{"_id":"475"},{"_id":"200"},{"_id":"202"}],"language":[{"iso":"eng"}],"type":"report","report_number":"WP16|2015","status":"public"},{"type":"journal_article","publication":"Fatum Magazin","status":"public","user_id":"35768","_id":"30147","language":[{"iso":"ger"}],"citation":{"ama":"Ficara E. Was ist Wahrheit? <i>Fatum Magazin</i>. 2015;3:9.","chicago":"Ficara, Elena. “Was ist Wahrheit?” <i>Fatum Magazin</i> 3 (2015): 9.","ieee":"E. Ficara, “Was ist Wahrheit?,” <i>Fatum Magazin</i>, vol. 3, p. 9, 2015.","bibtex":"@article{Ficara_2015, title={Was ist Wahrheit?}, volume={3}, journal={Fatum Magazin}, author={Ficara, Elena}, year={2015}, pages={9} }","mla":"Ficara, Elena. “Was ist Wahrheit?” <i>Fatum Magazin</i>, vol. 3, 2015, p. 9.","short":"E. Ficara, Fatum Magazin 3 (2015) 9.","apa":"Ficara, E. (2015). Was ist Wahrheit? <i>Fatum Magazin</i>, <i>3</i>, 9."},"intvolume":"         3","page":"9","year":"2015","author":[{"first_name":"Elena","last_name":"Ficara","full_name":"Ficara, Elena","id":"35768"}],"date_created":"2022-02-27T19:41:01Z","volume":3,"oa":"1","date_updated":"2022-03-01T12:04:51Z","main_file_link":[{"open_access":"1","url":"https://www.fatum-magazin.de/ausgaben/traeume-und-wahrheiten/was-ist-das-traeume-und-wahrheiten/zur-wahrheit.html"}],"title":"Was ist Wahrheit?"},{"oa":"1","date_updated":"2022-01-19T14:57:53Z","date_created":"2022-01-19T14:42:19Z","author":[{"first_name":"Heike M.","full_name":"Probst, Heike M.","last_name":"Probst"},{"first_name":"Marc","full_name":"Sacher, Marc","id":"26883","last_name":"Sacher"},{"last_name":"Schaper","full_name":"Schaper, Niclas","first_name":"Niclas"}],"title":"Den individuellen Lernprozess der Studierenden im Blick: Anders betreuen in modernen Laborpraktika","main_file_link":[{"open_access":"1","url":"https://www.hd-mint.de/wp-content/uploads/2014/10/ENDVERSION_HDMINT_2015_Tagungsband.pdf"}],"conference":{"location":"Nürnberg","name":"2. HDMINT Symposium"},"publication_status":"published","publication_identifier":{"issn":["1612-4537"]},"year":"2015","citation":{"apa":"Probst, H. M., Sacher, M., &#38; Schaper, N. (2015). Den individuellen Lernprozess der Studierenden im Blick: Anders betreuen in modernen Laborpraktika. In <i>Mittendrin - Lehre im Dialog</i> (pp. 275–276).","mla":"Probst, Heike M., et al. “Den individuellen Lernprozess der Studierenden im Blick: Anders betreuen in modernen Laborpraktika.” <i>Mittendrin - Lehre im Dialog</i>, 2015, pp. 275–76.","short":"H.M. Probst, M. Sacher, N. Schaper, in: Mittendrin - Lehre im Dialog, 2015, pp. 275–276.","bibtex":"@inbook{Probst_Sacher_Schaper_2015, series={DiNa-Sonderausgabe}, title={Den individuellen Lernprozess der Studierenden im Blick: Anders betreuen in modernen Laborpraktika}, booktitle={Mittendrin - Lehre im Dialog}, author={Probst, Heike M. and Sacher, Marc and Schaper, Niclas}, year={2015}, pages={275–276}, collection={DiNa-Sonderausgabe} }","ieee":"H. M. Probst, M. Sacher, and N. Schaper, “Den individuellen Lernprozess der Studierenden im Blick: Anders betreuen in modernen Laborpraktika,” in <i>Mittendrin - Lehre im Dialog</i>, 2015, pp. 275–276.","chicago":"Probst, Heike M., Marc Sacher, and Niclas Schaper. “Den individuellen Lernprozess der Studierenden im Blick: Anders betreuen in modernen Laborpraktika.” In <i>Mittendrin - Lehre im Dialog</i>, 275–76. DiNa-Sonderausgabe, 2015.","ama":"Probst HM, Sacher M, Schaper N. Den individuellen Lernprozess der Studierenden im Blick: Anders betreuen in modernen Laborpraktika. In: <i>Mittendrin - Lehre im Dialog</i>. DiNa-Sonderausgabe. ; 2015:275-276."},"page":"275 - 276","_id":"29477","user_id":"26883","series_title":"DiNa-Sonderausgabe","department":[{"_id":"576"}],"language":[{"iso":"ger"}],"type":"book_chapter","publication":"Mittendrin - Lehre im Dialog","status":"public"},{"department":[{"_id":"15"},{"_id":"576"}],"user_id":"26883","series_title":"DiNa-Sonderausgabe","_id":"29476","language":[{"iso":"ger"}],"publication":"Mittendrin - Lehre im Dialog","type":"book_chapter","status":"public","date_created":"2022-01-19T14:37:35Z","author":[{"first_name":"Marc","last_name":"Sacher","full_name":"Sacher, Marc","id":"26883"}],"date_updated":"2022-01-19T14:43:58Z","oa":"1","conference":{"name":"2. HDMINT Symposium","location":"Nürnberg"},"main_file_link":[{"url":"https://www.hd-mint.de/wp-content/uploads/2014/10/ENDVERSION_HDMINT_2015_Tagungsband.pdf","open_access":"1"}],"title":"Neue Wege zur Konzeption eines kompetenzfördernden, studierendenzentrierten Laborpraktikums","publication_identifier":{"unknown":["1612-4537"]},"publication_status":"published","page":"106 - 112","citation":{"ama":"Sacher M. Neue Wege zur Konzeption eines kompetenzfördernden, studierendenzentrierten Laborpraktikums. In: <i>Mittendrin - Lehre im Dialog</i>. DiNa-Sonderausgabe. ; 2015:106-112.","ieee":"M. Sacher, “Neue Wege zur Konzeption eines kompetenzfördernden, studierendenzentrierten Laborpraktikums,” in <i>Mittendrin - Lehre im Dialog</i>, 2015, pp. 106–112.","chicago":"Sacher, Marc. “Neue Wege zur Konzeption eines kompetenzfördernden, studierendenzentrierten Laborpraktikums.” In <i>Mittendrin - Lehre im Dialog</i>, 106–12. DiNa-Sonderausgabe, 2015.","short":"M. Sacher, in: Mittendrin - Lehre im Dialog, 2015, pp. 106–112.","bibtex":"@inbook{Sacher_2015, series={DiNa-Sonderausgabe}, title={Neue Wege zur Konzeption eines kompetenzfördernden, studierendenzentrierten Laborpraktikums}, booktitle={Mittendrin - Lehre im Dialog}, author={Sacher, Marc}, year={2015}, pages={106–112}, collection={DiNa-Sonderausgabe} }","mla":"Sacher, Marc. “Neue Wege zur Konzeption eines kompetenzfördernden, studierendenzentrierten Laborpraktikums.” <i>Mittendrin - Lehre im Dialog</i>, 2015, pp. 106–12.","apa":"Sacher, M. (2015). Neue Wege zur Konzeption eines kompetenzfördernden, studierendenzentrierten Laborpraktikums. In <i>Mittendrin - Lehre im Dialog</i> (pp. 106–112)."},"year":"2015"},{"main_file_link":[{"open_access":"1","url":"http://www.eugen-gutmann-gesellschaft.de/upload/geschichte_aktuell_4.pdf"}],"title":"Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange","author":[{"first_name":"Korinna","orcid":"0000-0002-7967-3261","last_name":"Schönhärl","id":"89037","full_name":"Schönhärl, Korinna"}],"date_created":"2022-01-27T09:53:49Z","oa":"1","date_updated":"2022-01-27T09:53:58Z","citation":{"apa":"Schönhärl, K. (2015). <i>Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange</i>.","mla":"Schönhärl, Korinna. <i>Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange</i>. 2015.","bibtex":"@book{Schönhärl_2015, title={Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange}, author={Schönhärl, Korinna}, year={2015} }","short":"K. Schönhärl, Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange, 2015.","ama":"Schönhärl K. <i>Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange</i>.; 2015.","chicago":"Schönhärl, Korinna. <i>Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange</i>, 2015.","ieee":"K. Schönhärl, <i>Die Internationale Finanzkommission für Griechenland von 1898 oder: Stereotypen leben lange</i>. 2015."},"year":"2015","language":[{"iso":"ger"}],"extern":"1","department":[{"_id":"445"}],"user_id":"89037","_id":"29551","status":"public","type":"misc"},{"_id":"6066","user_id":"42165","department":[{"_id":"424"}],"type":"journal_article","status":"public","oa":"1","date_updated":"2022-06-06T16:31:07Z","author":[{"full_name":"Tünnermann, Jan","last_name":"Tünnermann","first_name":"Jan"},{"first_name":"Anders","last_name":"Petersen","full_name":"Petersen, Anders"},{"orcid":"0000-0003-2364-9489","last_name":"Scharlau","full_name":"Scharlau, Ingrid","id":"451","first_name":"Ingrid"}],"volume":15,"main_file_link":[{"open_access":"1","url":"https://jov.arvojournals.org/article.aspx?articleid=2213282"}],"doi":"10.1167/15.3.1","publication_status":"published","publication_identifier":{"issn":["1534-7362"]},"citation":{"mla":"Tünnermann, Jan, et al. “Does Attention Speed up Processing? Decreases and Increases of Processing Rates in Visual Prior Entry.” <i>Journal of Vision</i>, vol. 15, no. 3, 2015, doi:<a href=\"https://doi.org/10.1167/15.3.1\">10.1167/15.3.1</a>.","bibtex":"@article{Tünnermann_Petersen_Scharlau_2015, title={Does attention speed up processing? Decreases and increases of processing rates in visual prior entry.}, volume={15}, DOI={<a href=\"https://doi.org/10.1167/15.3.1\">10.1167/15.3.1</a>}, number={3}, journal={Journal of Vision}, author={Tünnermann, Jan and Petersen, Anders and Scharlau, Ingrid}, year={2015} }","short":"J. Tünnermann, A. Petersen, I. Scharlau, Journal of Vision 15 (2015).","apa":"Tünnermann, J., Petersen, A., &#38; Scharlau, I. (2015). Does attention speed up processing? Decreases and increases of processing rates in visual prior entry. <i>Journal of Vision</i>, <i>15</i>(3). <a href=\"https://doi.org/10.1167/15.3.1\">https://doi.org/10.1167/15.3.1</a>","ama":"Tünnermann J, Petersen A, Scharlau I. Does attention speed up processing? Decreases and increases of processing rates in visual prior entry. <i>Journal of Vision</i>. 2015;15(3). doi:<a href=\"https://doi.org/10.1167/15.3.1\">10.1167/15.3.1</a>","ieee":"J. Tünnermann, A. Petersen, and I. Scharlau, “Does attention speed up processing? Decreases and increases of processing rates in visual prior entry.,” <i>Journal of Vision</i>, vol. 15, no. 3, 2015, doi: <a href=\"https://doi.org/10.1167/15.3.1\">10.1167/15.3.1</a>.","chicago":"Tünnermann, Jan, Anders Petersen, and Ingrid Scharlau. “Does Attention Speed up Processing? Decreases and Increases of Processing Rates in Visual Prior Entry.” <i>Journal of Vision</i> 15, no. 3 (2015). <a href=\"https://doi.org/10.1167/15.3.1\">https://doi.org/10.1167/15.3.1</a>."},"intvolume":"        15","keyword":["unattended stimuli","attention speed","cognitive processing","Attention","Humans","Judgment","Mental Recall","Visual Perception","Stimulus Parameters","Visual Perception","Visual Attention","Cognitive Processes","Velocity"],"language":[{"iso":"eng"}],"publication":"Journal of Vision","abstract":[{"text":"Selective visual attention improves performance in many tasks. Among others, it leads to 'prior entry'—earlier perception of an attended compared to an unattended stimulus. Whether this phenomenon is purely based on an increase of the processing rate of the attended stimulus or if a decrease in the processing rate of the unattended stimulus also contributes to the effect is, up to now, unanswered. Here we describe a novel approach to this question based on Bundesen’s Theory of Visual Attention, which we use to overcome the limitations of earlier prior-entry assessment with temporal order judgments (TOJs) that only allow relative statements regarding the processing speed of attended and unattended stimuli. Prevalent models of prior entry in TOJs either indirectly predict a pure acceleration or cannot model the difference between acceleration and deceleration. In a paradigm that combines a letter-identification task with TOJs, we show that indeed acceleration of the attended and deceler","lang":"eng"}],"date_created":"2018-12-10T07:01:56Z","title":"Does attention speed up processing? Decreases and increases of processing rates in visual prior entry.","issue":"3","year":"2015"},{"publication_identifier":{"isbn":["9781450336215"]},"has_accepted_license":"1","publication_status":"published","page":"831-834","citation":{"bibtex":"@inproceedings{Heindorf_Potthast_Stein_Engels_2015, title={Towards Vandalism Detection in Knowledge Bases}, DOI={<a href=\"https://doi.org/10.1145/2766462.2767804\">10.1145/2766462.2767804</a>}, booktitle={SIGIR}, publisher={ACM}, author={Heindorf, Stefan and Potthast, Martin and Stein, Benno and Engels, Gregor}, year={2015}, pages={831–834} }","mla":"Heindorf, Stefan, et al. “Towards Vandalism Detection in Knowledge Bases.” <i>SIGIR</i>, ACM, 2015, pp. 831–34, doi:<a href=\"https://doi.org/10.1145/2766462.2767804\">10.1145/2766462.2767804</a>.","short":"S. Heindorf, M. Potthast, B. Stein, G. Engels, in: SIGIR, ACM, 2015, pp. 831–834.","ama":"Heindorf S, Potthast M, Stein B, Engels G. Towards Vandalism Detection in Knowledge Bases. 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