[{"language":[{"iso":"eng"}],"extern":"1","keyword":["configuration","multi-modality","multi-objective optimization"],"department":[{"_id":"819"}],"user_id":"102979","series_title":"GECCO’22","_id":"48896","status":"public","abstract":[{"lang":"eng","text":"Hardness of Multi-Objective (MO) continuous optimization problems results from an interplay of various problem characteristics, e. g. the degree of multi-modality. We present a benchmark study of classical and diversity focused optimizers on multi-modal MO problems based on automated algorithm configuration. We show the large effect of the latter and investigate the trade-off between convergence in objective space and diversity in decision space."}],"publication":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","type":"conference","doi":"10.1145/3520304.3528998","title":"On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems","author":[{"first_name":"Jeroen","last_name":"Rook","full_name":"Rook, Jeroen"},{"last_name":"Trautmann","full_name":"Trautmann, Heike","first_name":"Heike"},{"first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979","orcid":"0000-0002-4121-4668","last_name":"Bossek"},{"last_name":"Grimme","full_name":"Grimme, Christian","first_name":"Christian"}],"date_created":"2023-11-14T15:59:00Z","date_updated":"2023-12-13T10:50:24Z","publisher":"Association for Computing Machinery","page":"356–359","citation":{"ieee":"J. Rook, H. Trautmann, J. Bossek, and C. Grimme, “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 2022, pp. 356–359, doi: <a href=\"https://doi.org/10.1145/3520304.3528998\">10.1145/3520304.3528998</a>.","chicago":"Rook, Jeroen, Heike Trautmann, Jakob Bossek, and Christian Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” In <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 356–359. GECCO’22. New York, NY, USA: Association for Computing Machinery, 2022. <a href=\"https://doi.org/10.1145/3520304.3528998\">https://doi.org/10.1145/3520304.3528998</a>.","ama":"Rook J, Trautmann H, Bossek J, Grimme C. On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In: <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>. GECCO’22. Association for Computing Machinery; 2022:356–359. doi:<a href=\"https://doi.org/10.1145/3520304.3528998\">10.1145/3520304.3528998</a>","mla":"Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, Association for Computing Machinery, 2022, pp. 356–359, doi:<a href=\"https://doi.org/10.1145/3520304.3528998\">10.1145/3520304.3528998</a>.","short":"J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359.","bibtex":"@inproceedings{Rook_Trautmann_Bossek_Grimme_2022, place={New York, NY, USA}, series={GECCO’22}, title={On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems}, DOI={<a href=\"https://doi.org/10.1145/3520304.3528998\">10.1145/3520304.3528998</a>}, booktitle={Proceedings of the Genetic and Evolutionary Computation Conference Companion}, publisher={Association for Computing Machinery}, author={Rook, Jeroen and Trautmann, Heike and Bossek, Jakob and Grimme, Christian}, year={2022}, pages={356–359}, collection={GECCO’22} }","apa":"Rook, J., Trautmann, H., Bossek, J., &#38; Grimme, C. (2022). On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. <i>Proceedings of the Genetic and Evolutionary Computation Conference Companion</i>, 356–359. <a href=\"https://doi.org/10.1145/3520304.3528998\">https://doi.org/10.1145/3520304.3528998</a>"},"place":"New York, NY, USA","year":"2022","publication_identifier":{"isbn":["978-1-4503-9268-6"]}},{"language":[{"iso":"eng"}],"keyword":["Product Configuration","Augmented Reality","Model-based","Tool Support"],"ddc":["000"],"file":[{"date_updated":"2020-11-30T08:39:18Z","date_created":"2020-11-30T08:39:18Z","creator":"sego","file_size":3913885,"file_name":"HCSE20_demo.pdf","file_id":"20542","access_level":"open_access","content_type":"application/pdf","relation":"main_file"}],"abstract":[{"text":"Mobile shopping apps have been using Augmented Reality (AR) in the last years to place their products in the environment of the customer. While this is possible with atomic 3D objects, there is is still a lack in the runtime configuration of 3D object compositions based on user needs and environmental constraints. For this, we previously developed an approach for model-based AR-assisted product configuration based on the concept of Dynamic Software Product Lines. In this demonstration paper, we present the corresponding tool support ProConAR in the form of a Product Modeler and a Product Configurator. While the Product Modeler is an Angular web app that splits products (e.g. table) up into atomic parts (e.g. tabletop, table legs, funnier) and saves it within a configuration model, the Product Configurator is an Android client that uses the configuration model to place different product configurations within the environment of the customer. We show technical details of our ready to use tool-chain ProConAR by describing its implementation and usage as well as pointing out future research directions.","lang":"eng"}],"publication":"Human-Centered Software Engineering. HCSE 2020","title":"ProConAR: A Tool Support for Model-based AR Product Configuration","date_created":"2020-09-21T17:01:11Z","publisher":"Springer","year":"2020","file_date_updated":"2020-11-30T08:39:18Z","department":[{"_id":"66"},{"_id":"534"}],"user_id":"47208","series_title":"Lecture Notes in Computer Science","_id":"19606","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"17","name":"SFB 901 - Subproject C5"}],"status":"public","editor":[{"full_name":"Bernhaupt, Regina","last_name":"Bernhaupt","first_name":"Regina"},{"full_name":"Ardito, Carmelo","last_name":"Ardito","first_name":"Carmelo"},{"first_name":"Stefan","full_name":"Sauer, Stefan","last_name":"Sauer"}],"type":"conference","conference":{"end_date":"2020-12-02","location":"Eindhoven","name":"8th International Working Conference on Human-Centered Software Engineering (HCSE'20)","start_date":"2020-11-30"},"doi":"10.1007/978-3-030-64266-2_14","volume":12481,"author":[{"last_name":"Gottschalk","id":"47208","full_name":"Gottschalk, Sebastian","first_name":"Sebastian"},{"orcid":"0000-0002-5967-833X","last_name":"Yigitbas","id":"8447","full_name":"Yigitbas, Enes","first_name":"Enes"},{"first_name":"Eugen","last_name":"Schmidt","full_name":"Schmidt, Eugen"},{"first_name":"Gregor","id":"107","full_name":"Engels, Gregor","last_name":"Engels"}],"date_updated":"2022-01-06T06:54:07Z","oa":"1","intvolume":"     12481","citation":{"chicago":"Gottschalk, Sebastian, Enes Yigitbas, Eugen Schmidt, and Gregor Engels. “ProConAR: A Tool Support for Model-Based AR Product Configuration.” In <i>Human-Centered Software Engineering. HCSE 2020</i>, edited by Regina Bernhaupt, Carmelo Ardito, and Stefan Sauer, Vol. 12481. Lecture Notes in Computer Science. Cham: Springer, 2020. <a href=\"https://doi.org/10.1007/978-3-030-64266-2_14\">https://doi.org/10.1007/978-3-030-64266-2_14</a>.","ieee":"S. Gottschalk, E. Yigitbas, E. Schmidt, and G. Engels, “ProConAR: A Tool Support for Model-based AR Product Configuration,” in <i>Human-Centered Software Engineering. HCSE 2020</i>, Eindhoven, 2020, vol. 12481.","ama":"Gottschalk S, Yigitbas E, Schmidt E, Engels G. ProConAR: A Tool Support for Model-based AR Product Configuration. In: Bernhaupt R, Ardito C, Sauer S, eds. <i>Human-Centered Software Engineering. HCSE 2020</i>. Vol 12481. Lecture Notes in Computer Science. Cham: Springer; 2020. doi:<a href=\"https://doi.org/10.1007/978-3-030-64266-2_14\">10.1007/978-3-030-64266-2_14</a>","bibtex":"@inproceedings{Gottschalk_Yigitbas_Schmidt_Engels_2020, place={Cham}, series={Lecture Notes in Computer Science}, title={ProConAR: A Tool Support for Model-based AR Product Configuration}, volume={12481}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-64266-2_14\">10.1007/978-3-030-64266-2_14</a>}, booktitle={Human-Centered Software Engineering. HCSE 2020}, publisher={Springer}, author={Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels, Gregor}, editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, StefanEditors}, year={2020}, collection={Lecture Notes in Computer Science} }","short":"S. Gottschalk, E. Yigitbas, E. Schmidt, G. Engels, in: R. Bernhaupt, C. Ardito, S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020, Springer, Cham, 2020.","mla":"Gottschalk, Sebastian, et al. “ProConAR: A Tool Support for Model-Based AR Product Configuration.” <i>Human-Centered Software Engineering. HCSE 2020</i>, edited by Regina Bernhaupt et al., vol. 12481, Springer, 2020, doi:<a href=\"https://doi.org/10.1007/978-3-030-64266-2_14\">10.1007/978-3-030-64266-2_14</a>.","apa":"Gottschalk, S., Yigitbas, E., Schmidt, E., &#38; Engels, G. (2020). ProConAR: A Tool Support for Model-based AR Product Configuration. In R. Bernhaupt, C. Ardito, &#38; S. Sauer (Eds.), <i>Human-Centered Software Engineering. HCSE 2020</i> (Vol. 12481). Cham: Springer. <a href=\"https://doi.org/10.1007/978-3-030-64266-2_14\">https://doi.org/10.1007/978-3-030-64266-2_14</a>"},"place":"Cham","has_accepted_license":"1"},{"title":"Model-based Product Configuration in Augmented Reality Applications","date_created":"2020-08-25T08:27:38Z","publisher":"Springer","year":"2020","language":[{"iso":"eng"}],"keyword":["Product Configuration","Augmented Reality","Runtime Adaptation","Dynamic Software Product Lines"],"ddc":["000"],"file":[{"relation":"main_file","content_type":"application/pdf","file_name":"HCSE20_full.pdf","access_level":"open_access","file_id":"20541","file_size":2258601,"creator":"sego","date_created":"2020-11-30T08:33:30Z","date_updated":"2020-11-30T08:36:52Z"}],"abstract":[{"lang":"eng","text":"Augmented Reality (AR) has recently found high attention in mobile shopping apps such as in domains like furniture or decoration. Here, the developers of the apps focus on the positioning of atomic 3D objects in the physical environment. With this focus, they neglect the configuration of multi-faceted 3D object composition according to the user needs and environmental constraints. To tackle these challenges, we present a model-based approach to support AR-assisted product con-figuration based on the concept of Dynamic Software Product Lines. Our approach splits products (e.g. table) into parts (e.g. tabletop, ta-ble legs, funnier) with their 3D objects and additional information (e.g. name, price). The possible products, which can be configured out of these parts, are stored in a feature model. At runtime, this feature model can be used to configure 3D object compositions out of the product parts and adapt to user needs and environmental constraints. The benefits of this approach are demonstrated by a case study of configuring modular kitchens with the help of a prototypical mobile-based implementation."}],"publication":"Human-Centered Software Engineering. HCSE 2020","conference":{"end_date":"2020-12-02","location":"Eindhoven","name":"8th International Working Conference on Human-Centered Software Engineering (HCSE'20)","start_date":"2020-11-30"},"doi":"10.1007/978-3-030-64266-2_5","volume":12481,"author":[{"first_name":"Sebastian","last_name":"Gottschalk","id":"47208","full_name":"Gottschalk, Sebastian"},{"first_name":"Enes","last_name":"Yigitbas","orcid":"0000-0002-5967-833X","id":"8447","full_name":"Yigitbas, Enes"},{"last_name":"Schmidt","full_name":"Schmidt, Eugen","first_name":"Eugen"},{"first_name":"Gregor","id":"107","full_name":"Engels, Gregor","last_name":"Engels"}],"oa":"1","date_updated":"2022-01-06T06:53:28Z","intvolume":"     12481","citation":{"chicago":"Gottschalk, Sebastian, Enes Yigitbas, Eugen Schmidt, and Gregor Engels. “Model-Based Product Configuration in Augmented Reality Applications.” In <i>Human-Centered Software Engineering. HCSE 2020</i>, edited by Regina Bernhaupt, Carmelo Ardito, and Stefan Sauer, Vol. 12481. Lecture Notes in Computer Science. Cham: Springer, 2020. <a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">https://doi.org/10.1007/978-3-030-64266-2_5</a>.","ieee":"S. Gottschalk, E. Yigitbas, E. Schmidt, and G. Engels, “Model-based Product Configuration in Augmented Reality Applications,” in <i>Human-Centered Software Engineering. HCSE 2020</i>, Eindhoven, 2020, vol. 12481.","ama":"Gottschalk S, Yigitbas E, Schmidt E, Engels G. Model-based Product Configuration in Augmented Reality Applications. In: Bernhaupt R, Ardito C, Sauer S, eds. <i>Human-Centered Software Engineering. HCSE 2020</i>. Vol 12481. Lecture Notes in Computer Science. Cham: Springer; 2020. doi:<a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">10.1007/978-3-030-64266-2_5</a>","bibtex":"@inproceedings{Gottschalk_Yigitbas_Schmidt_Engels_2020, place={Cham}, series={Lecture Notes in Computer Science}, title={Model-based Product Configuration in Augmented Reality Applications}, volume={12481}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">10.1007/978-3-030-64266-2_5</a>}, booktitle={Human-Centered Software Engineering. HCSE 2020}, publisher={Springer}, author={Gottschalk, Sebastian and Yigitbas, Enes and Schmidt, Eugen and Engels, Gregor}, editor={Bernhaupt, Regina and Ardito, Carmelo and Sauer, StefanEditors}, year={2020}, collection={Lecture Notes in Computer Science} }","short":"S. Gottschalk, E. Yigitbas, E. Schmidt, G. Engels, in: R. Bernhaupt, C. Ardito, S. Sauer (Eds.), Human-Centered Software Engineering. HCSE 2020, Springer, Cham, 2020.","mla":"Gottschalk, Sebastian, et al. “Model-Based Product Configuration in Augmented Reality Applications.” <i>Human-Centered Software Engineering. HCSE 2020</i>, edited by Regina Bernhaupt et al., vol. 12481, Springer, 2020, doi:<a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">10.1007/978-3-030-64266-2_5</a>.","apa":"Gottschalk, S., Yigitbas, E., Schmidt, E., &#38; Engels, G. (2020). Model-based Product Configuration in Augmented Reality Applications. In R. Bernhaupt, C. Ardito, &#38; S. Sauer (Eds.), <i>Human-Centered Software Engineering. HCSE 2020</i> (Vol. 12481). Cham: Springer. <a href=\"https://doi.org/10.1007/978-3-030-64266-2_5\">https://doi.org/10.1007/978-3-030-64266-2_5</a>"},"place":"Cham","has_accepted_license":"1","publication_status":"published","file_date_updated":"2020-11-30T08:36:52Z","department":[{"_id":"66"},{"_id":"534"}],"user_id":"47208","series_title":"Lecture Notes in Computer Science","_id":"18249","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C5","_id":"17"}],"status":"public","editor":[{"last_name":"Bernhaupt","full_name":"Bernhaupt, Regina","first_name":"Regina"},{"first_name":"Carmelo","last_name":"Ardito","full_name":"Ardito, Carmelo"},{"first_name":"Stefan","last_name":"Sauer","full_name":"Sauer, Stefan"}],"type":"conference"},{"issue":"99","publication_identifier":{"issn":["0098-5589"]},"page":"1-1","citation":{"apa":"Lillack, M., Kästner, C., &#38; Bodden, E. (2017). Tracking Load-time Configuration Options. <i>IEEE Transactions on Software Engineering</i>, <i>PP</i>(99), 1–1. <a href=\"https://doi.org/10.1109/TSE.2017.2756048\">https://doi.org/10.1109/TSE.2017.2756048</a>","short":"M. Lillack, C. Kästner, E. Bodden, IEEE Transactions on Software Engineering PP (2017) 1–1.","mla":"Lillack, Max, et al. “Tracking Load-Time Configuration Options.” <i>IEEE Transactions on Software Engineering</i>, vol. PP, no. 99, 2017, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/TSE.2017.2756048\">10.1109/TSE.2017.2756048</a>.","bibtex":"@article{Lillack_Kästner_Bodden_2017, title={Tracking Load-time Configuration Options}, volume={PP}, DOI={<a href=\"https://doi.org/10.1109/TSE.2017.2756048\">10.1109/TSE.2017.2756048</a>}, number={99}, journal={IEEE Transactions on Software Engineering}, author={Lillack, Max and Kästner, Christian and Bodden, Eric}, year={2017}, pages={1–1} }","ieee":"M. Lillack, C. Kästner, and E. Bodden, “Tracking Load-time Configuration Options,” <i>IEEE Transactions on Software Engineering</i>, vol. PP, no. 99, pp. 1–1, 2017, doi: <a href=\"https://doi.org/10.1109/TSE.2017.2756048\">10.1109/TSE.2017.2756048</a>.","chicago":"Lillack, Max, Christian Kästner, and Eric Bodden. “Tracking Load-Time Configuration Options.” <i>IEEE Transactions on Software Engineering</i> PP, no. 99 (2017): 1–1. <a href=\"https://doi.org/10.1109/TSE.2017.2756048\">https://doi.org/10.1109/TSE.2017.2756048</a>.","ama":"Lillack M, Kästner C, Bodden E. Tracking Load-time Configuration Options. <i>IEEE Transactions on Software Engineering</i>. 2017;PP(99):1-1. doi:<a href=\"https://doi.org/10.1109/TSE.2017.2756048\">10.1109/TSE.2017.2756048</a>"},"year":"2017","volume":"PP","author":[{"first_name":"Max","full_name":"Lillack, Max","last_name":"Lillack"},{"first_name":"Christian","full_name":"Kästner, Christian","last_name":"Kästner"},{"first_name":"Eric","last_name":"Bodden","orcid":"0000-0003-3470-3647","full_name":"Bodden, Eric","id":"59256"}],"date_created":"2020-11-30T11:06:43Z","date_updated":"2022-01-06T06:54:30Z","doi":"10.1109/TSE.2017.2756048","main_file_link":[{"url":"http://bodden.de/pubs/lkb17lotrack.pdf"}],"title":"Tracking Load-time Configuration Options","publication":"IEEE Transactions on Software Engineering","type":"journal_article","status":"public","department":[{"_id":"76"}],"user_id":"5786","_id":"20557","language":[{"iso":"eng"}],"keyword":["Androids","Bluetooth","Humanoid robots","Java","Software","Tools","Configuration options","Static analysis","Variability mining"]},{"year":"2017","issue":"1","title":"A configuration-based recommender system for supporting e-commerce decisions","date_created":"2018-11-14T15:06:18Z","publisher":"Elsevier","file":[{"date_updated":"2018-12-13T15:06:56Z","date_created":"2018-12-07T11:30:59Z","creator":"hsiemes","file_size":762889,"access_level":"open_access","file_id":"6025","file_name":"EJOR article.pdf","content_type":"application/pdf","relation":"main_file"}],"abstract":[{"lang":"eng","text":"Multi-attribute value theory (MAVT)-based recommender systems have been proposed for dealing with issues of existing recommender systems, such as the cold-start problem and changing preferences. However, as we argue in this paper, existing MAVT-based methods for measuring attribute importance weights do not fit the shopping tasks for which recommender systems are typically used. These methods assume well-trained decision makers who are willing to invest time and cognitive effort, and who are familiar with the attributes describing the available alternatives and the ranges of these attribute levels. Yet, recommender systems are most often used by consumers who are usually not familiar with the available attributes and ranges and who wish to save time and effort. Against this background, we develop a new method, based on a product configuration process, which is tailored to the characteristics of these particular decision makers. We empirically compare our method to SWING, ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory experiment with 153 participants. Results indicate that our proposed method performs better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms of cognitive load, and that participants were faster with our method than with any other method. We conclude that our method is a promising option to help support consumers' decision processes in e-commerce shopping tasks."}],"publication":"European Journal of Operational Research","language":[{"iso":"eng"}],"keyword":["E-Commerce","Recommender System","Attribute Weights","Configuration System","Decision Support"],"ddc":["000"],"intvolume":"       259","page":"205 - 215","citation":{"apa":"Scholz, M., Dorner, V., Schryen, G., &#38; Benlian, A. (2017). A configuration-based recommender system for supporting e-commerce decisions. <i>European Journal of Operational Research</i>, <i>259</i>(1), 205–215.","short":"M. Scholz, V. Dorner, G. Schryen, A. Benlian, European Journal of Operational Research 259 (2017) 205–215.","mla":"Scholz, Michael, et al. “A Configuration-Based Recommender System for Supporting e-Commerce Decisions.” <i>European Journal of Operational Research</i>, vol. 259, no. 1, Elsevier, 2017, pp. 205–15.","bibtex":"@article{Scholz_Dorner_Schryen_Benlian_2017, title={A configuration-based recommender system for supporting e-commerce decisions}, volume={259}, number={1}, journal={European Journal of Operational Research}, publisher={Elsevier}, author={Scholz, Michael and Dorner, Verena and Schryen, Guido and Benlian, Alexander}, year={2017}, pages={205–215} }","chicago":"Scholz, Michael, Verena Dorner, Guido Schryen, and Alexander Benlian. “A Configuration-Based Recommender System for Supporting e-Commerce Decisions.” <i>European Journal of Operational Research</i> 259, no. 1 (2017): 205–15.","ieee":"M. Scholz, V. Dorner, G. Schryen, and A. Benlian, “A configuration-based recommender system for supporting e-commerce decisions,” <i>European Journal of Operational Research</i>, vol. 259, no. 1, pp. 205–215, 2017.","ama":"Scholz M, Dorner V, Schryen G, Benlian A. A configuration-based recommender system for supporting e-commerce decisions. <i>European Journal of Operational Research</i>. 2017;259(1):205-215."},"has_accepted_license":"1","volume":259,"author":[{"last_name":"Scholz","full_name":"Scholz, Michael","first_name":"Michael"},{"full_name":"Dorner, Verena","last_name":"Dorner","first_name":"Verena"},{"first_name":"Guido","full_name":"Schryen, Guido","id":"72850","last_name":"Schryen"},{"last_name":"Benlian","full_name":"Benlian, Alexander","first_name":"Alexander"}],"date_updated":"2022-01-06T07:02:27Z","oa":"1","status":"public","type":"journal_article","file_date_updated":"2018-12-13T15:06:56Z","extern":"1","department":[{"_id":"277"}],"user_id":"61579","_id":"5671"},{"department":[{"_id":"54"}],"user_id":"44006","_id":"11913","language":[{"iso":"eng"}],"keyword":["array signal processing","blind source separation","blind speech separation","complex vector space","complex Watson distribution","directional statistics","expectation-maximisation algorithm","expectation maximization algorithm","Fourier transform","Fourier transforms","generalized sidelobe canceller","interference suppression","maximum signal-to-noise ratio beamformer","microphone signal","probabilistic model","spatial aliasing","spatial beamforming configuration","speech enhancement","statistical distributions"],"publication":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)","type":"conference","status":"public","abstract":[{"text":"In this paper we propose to employ directional statistics in a complex vector space to approach the problem of blind speech separation in the presence of spatially correlated noise. We interpret the values of the short time Fourier transform of the microphone signals to be draws from a mixture of complex Watson distributions, a probabilistic model which naturally accounts for spatial aliasing. The parameters of the density are related to the a priori source probabilities, the power of the sources and the transfer function ratios from sources to sensors. Estimation formulas are derived for these parameters by employing the Expectation Maximization (EM) algorithm. The E-step corresponds to the estimation of the source presence probabilities for each time-frequency bin, while the M-step leads to a maximum signal-to-noise ratio (MaxSNR) beamformer in the presence of uncertainty about the source activity. Experimental results are reported for an implementation in a generalized sidelobe canceller (GSC) like spatial beamforming configuration for 3 speech sources with significant coherent noise in reverberant environments, demonstrating the usefulness of the novel modeling framework.","lang":"eng"}],"date_created":"2019-07-12T05:30:40Z","author":[{"full_name":"Tran Vu, Dang Hai","last_name":"Tran Vu","first_name":"Dang Hai"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"oa":"1","date_updated":"2022-01-06T06:51:12Z","doi":"10.1109/ICASSP.2010.5495994","main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2010/DaHa10-2.pdf","open_access":"1"}],"title":"Blind speech separation employing directional statistics in an Expectation Maximization framework","page":"241-244","citation":{"apa":"Tran Vu, D. H., &#38; Haeb-Umbach, R. (2010). Blind speech separation employing directional statistics in an Expectation Maximization framework. In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i> (pp. 241–244). <a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">https://doi.org/10.1109/ICASSP.2010.5495994</a>","bibtex":"@inproceedings{Tran Vu_Haeb-Umbach_2010, title={Blind speech separation employing directional statistics in an Expectation Maximization framework}, DOI={<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2010}, pages={241–244} }","short":"D.H. Tran Vu, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010), 2010, pp. 241–244.","mla":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010, pp. 241–44, doi:<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>.","ama":"Tran Vu DH, Haeb-Umbach R. Blind speech separation employing directional statistics in an Expectation Maximization framework. In: <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>. ; 2010:241-244. doi:<a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">10.1109/ICASSP.2010.5495994</a>","chicago":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation Employing Directional Statistics in an Expectation Maximization Framework.” In <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 241–44, 2010. <a href=\"https://doi.org/10.1109/ICASSP.2010.5495994\">https://doi.org/10.1109/ICASSP.2010.5495994</a>.","ieee":"D. H. Tran Vu and R. Haeb-Umbach, “Blind speech separation employing directional statistics in an Expectation Maximization framework,” in <i>IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)</i>, 2010, pp. 241–244."},"year":"2010"}]