--- _id: '11807' author: - first_name: Tobias full_name: Herbig, Tobias last_name: Herbig - first_name: Franz full_name: Gerl, Franz last_name: Gerl - first_name: Wolfgang full_name: Minker, Wolfgang last_name: Minker - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Herbig T, Gerl F, Minker W, Haeb-Umbach R. Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition. Evolving Systems. 2011;2(3):199-214. apa: Herbig, T., Gerl, F., Minker, W., & Haeb-Umbach, R. (2011). Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition. Evolving Systems, 2(3), 199–214. bibtex: '@article{Herbig_Gerl_Minker_Haeb-Umbach_2011, title={Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition}, volume={2}, number={3}, journal={Evolving Systems}, author={Herbig, Tobias and Gerl, Franz and Minker, Wolfgang and Haeb-Umbach, Reinhold}, year={2011}, pages={199–214} }' chicago: 'Herbig, Tobias, Franz Gerl, Wolfgang Minker, and Reinhold Haeb-Umbach. “Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition.” Evolving Systems 2, no. 3 (2011): 199–214.' ieee: T. Herbig, F. Gerl, W. Minker, and R. Haeb-Umbach, “Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition,” Evolving Systems, vol. 2, no. 3, pp. 199–214, 2011. mla: Herbig, Tobias, et al. “Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition.” Evolving Systems, vol. 2, no. 3, 2011, pp. 199–214. short: T. Herbig, F. Gerl, W. Minker, R. Haeb-Umbach, Evolving Systems 2 (2011) 199–214. date_created: 2019-07-12T05:28:38Z date_updated: 2022-01-06T06:51:09Z department: - _id: '54' intvolume: ' 2' issue: '3' language: - iso: eng page: 199-214 publication: Evolving Systems status: public title: Adaptive Systems for Unsupervised Speaker Tracking and Speech Recognition type: journal_article user_id: '44006' volume: 2 year: '2011' ... --- _id: '11843' abstract: - lang: eng text: Employing automatic speech recognition systems in hands-free communication applications is accompanied by perfomance degradation due to background noise and, in particular, due to reverberation. These two kinds of distortion alter the shape of the feature vector trajectory extracted from the microphone signal and consequently lead to a discrepancy between training and testing conditions for the recognizer. In this chapter we present a feature enhancement approach aiming at the joint compensation of noise and reverberation to improve the performance by restoring the training conditions. For the enhancement we concentrate on the logarithmic mel power spectral coefficients as features, which are computed at an intermediate stage to obtain the widely used mel frequency cepstral coefficients. The proposed technique is based on a Bayesian framework, to attempt to infer the posterior distribution of the clean features given the observation of all past corrupted features. It exploits information from a priori models describing the dynamics of clean speech and noise-only feature vector trajectories as well as from an observation model relating the reverberant noisy to the clean features. The observation model relies on a simplified stochastic model of the room impulse response (RIR) between the speaker and the microphone, having only two parameters, namely RIR energy and reverberation time, which can be estimated from the captured microphone signal. The performance of the proposed enhancement technique is finally experimentally studied by means of recognition accuracy obtained for a connected digits recognition task under different noise and reverberation conditions using the Aurora~5 database. author: - first_name: Alexander full_name: Krueger, Alexander last_name: Krueger - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Krueger A, Haeb-Umbach R. A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition. In: Haeb-Umbach R, Kolossa D, eds. Robust Speech Recognition of Uncertain or Missing Data. Springer; 2011.' apa: Krueger, A., & Haeb-Umbach, R. (2011). A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition. In R. Haeb-Umbach & D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data. Springer. bibtex: '@inbook{Krueger_Haeb-Umbach_2011, title={A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition}, booktitle={Robust Speech Recognition of Uncertain or Missing Data}, publisher={Springer}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, editor={Haeb-Umbach, Reinhold and Kolossa, DorotheaEditors}, year={2011} }' chicago: Krueger, Alexander, and Reinhold Haeb-Umbach. “A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition.” In Robust Speech Recognition of Uncertain or Missing Data, edited by Reinhold Haeb-Umbach and Dorothea Kolossa. Springer, 2011. ieee: A. Krueger and R. Haeb-Umbach, “A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition,” in Robust Speech Recognition of Uncertain or Missing Data, R. Haeb-Umbach and D. Kolossa, Eds. Springer, 2011. mla: Krueger, Alexander, and Reinhold Haeb-Umbach. “A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition.” Robust Speech Recognition of Uncertain or Missing Data, edited by Reinhold Haeb-Umbach and Dorothea Kolossa, Springer, 2011. short: 'A. Krueger, R. Haeb-Umbach, in: R. Haeb-Umbach, D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data, Springer, 2011.' date_created: 2019-07-12T05:29:20Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' editor: - first_name: Reinhold full_name: Haeb-Umbach, Reinhold last_name: Haeb-Umbach - first_name: Dorothea full_name: Kolossa, Dorothea last_name: Kolossa language: - iso: eng publication: Robust Speech Recognition of Uncertain or Missing Data publisher: Springer status: public title: A Model-Based Approach to Joint Compensation of Noise and Reverberation for Speech Recognition type: book_chapter user_id: '44006' year: '2011' ... --- _id: '11845' abstract: - lang: eng text: The paper proposes a modification of the standard maximum a posteriori (MAP) method for the estimation of the parameters of a Gaussian process for cases where the process is superposed by additive Gaussian observation errors of known variance. Simulations on artificially generated data demonstrate the superiority of the proposed method. While reducing to the ordinary MAP approach in the absence of observation noise, the improvement becomes the more pronounced the larger the variance of the observation noise. The method is further extended to track the parameters in case of non-stationary Gaussian processes. author: - first_name: Alexander full_name: Krueger, Alexander last_name: Krueger - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Krueger A, Haeb-Umbach R. MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011). ; 2011:3596-3599. doi:10.1109/ICASSP.2011.5946256' apa: Krueger, A., & Haeb-Umbach, R. (2011). MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011) (pp. 3596–3599). https://doi.org/10.1109/ICASSP.2011.5946256 bibtex: '@inproceedings{Krueger_Haeb-Umbach_2011, title={MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations}, DOI={10.1109/ICASSP.2011.5946256}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)}, author={Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2011}, pages={3596–3599} }' chicago: Krueger, Alexander, and Reinhold Haeb-Umbach. “MAP-Based Estimation of the Parameters of Non-Stationary Gaussian Processes from Noisy Observations.” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 3596–99, 2011. https://doi.org/10.1109/ICASSP.2011.5946256. ieee: A. Krueger and R. Haeb-Umbach, “MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 2011, pp. 3596–3599. mla: Krueger, Alexander, and Reinhold Haeb-Umbach. “MAP-Based Estimation of the Parameters of Non-Stationary Gaussian Processes from Noisy Observations.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 2011, pp. 3596–99, doi:10.1109/ICASSP.2011.5946256. short: 'A. Krueger, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 2011, pp. 3596–3599.' date_created: 2019-07-12T05:29:22Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' doi: 10.1109/ICASSP.2011.5946256 keyword: - Gaussian processes - MAP-based estimation - maximum a posteriori method - maximum likelihood estimation - nonstationary Gaussian processes language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2011/KrHa11.pdf oa: '1' page: 3596-3599 publication: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011) status: public title: MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations type: conference user_id: '44006' year: '2011' ... --- _id: '11850' abstract: - lang: eng text: In this paper, we present a novel blocking matrix and fixed beamformer design for a generalized sidelobe canceler for speech enhancement in a reverberant enclosure. They are based on a new method for estimating the acoustical transfer function ratios in the presence of stationary noise. The estimation method relies on solving a generalized eigenvalue problem in each frequency bin. An adaptive eigenvector tracking utilizing the power iteration method is employed and shown to achieve a high convergence speed. Simulation results demonstrate that the proposed beamformer leads to better noise and interference reduction and reduced speech distortions compared to other blocking matrix designs from the literature. author: - first_name: Alexander full_name: Krueger, Alexander last_name: Krueger - first_name: Ernst full_name: Warsitz, Ernst last_name: Warsitz - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Krueger A, Warsitz E, Haeb-Umbach R. Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Transactions on Audio, Speech, and Language Processing. 2011;19(1):206-219. doi:10.1109/TASL.2010.2047324 apa: Krueger, A., Warsitz, E., & Haeb-Umbach, R. (2011). Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation. IEEE Transactions on Audio, Speech, and Language Processing, 19(1), 206–219. https://doi.org/10.1109/TASL.2010.2047324 bibtex: '@article{Krueger_Warsitz_Haeb-Umbach_2011, title={Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation}, volume={19}, DOI={10.1109/TASL.2010.2047324}, number={1}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Krueger, Alexander and Warsitz, Ernst and Haeb-Umbach, Reinhold}, year={2011}, pages={206–219} }' chicago: 'Krueger, Alexander, Ernst Warsitz, and Reinhold Haeb-Umbach. “Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation.” IEEE Transactions on Audio, Speech, and Language Processing 19, no. 1 (2011): 206–19. https://doi.org/10.1109/TASL.2010.2047324.' ieee: A. Krueger, E. Warsitz, and R. Haeb-Umbach, “Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 19, no. 1, pp. 206–219, 2011. mla: Krueger, Alexander, et al. “Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation.” IEEE Transactions on Audio, Speech, and Language Processing, vol. 19, no. 1, 2011, pp. 206–19, doi:10.1109/TASL.2010.2047324. short: A. Krueger, E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 19 (2011) 206–219. date_created: 2019-07-12T05:29:28Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' doi: 10.1109/TASL.2010.2047324 intvolume: ' 19' issue: '1' keyword: - acoustical transfer function ratio - adaptive eigenvector tracking - array signal processing - beamformer design - blocking matrix - eigenvalues and eigenfunctions - eigenvector-based transfer function ratios estimation - generalized sidelobe canceler - interference reduction - iterative methods - power iteration method - reduced speech distortions - reverberant enclosure - reverberation - speech enhancement - stationary noise language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2011/KrWaHa11.pdf oa: '1' page: 206-219 publication: IEEE Transactions on Audio, Speech, and Language Processing status: public title: Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation type: journal_article user_id: '44006' volume: 19 year: '2011' ... --- _id: '11856' abstract: - lang: eng text: 'In this contribution, conditional Bayesian estimation employing a phase-sensitive observation model for noise robust speech recognition will be studied. After a review of speech recognition under the presence of corrupted features, termed uncertainty decoding, the estimation of the posterior distribution of the uncorrupted (clean) feature vector will be shown to be a key element of noise robust speech recognition. The estimation process will be based on three major components: an a priori model of the unobservable data, an observation model relating the unobservable data to the corrupted observation and an inference algorithm, finally allowing for a computationally tractable solution. Special stress will be laid on a detailed derivation of the phase-sensitive observation model and the required moments of the phase factor distribution. Thereby, it will not only be proven analytically that the phase factor distribution is non-Gaussian but also that all central moments can (approximately) be computed solely based on the used mel filter bank, finally rendering the moments independent of noise type and signal-to-noise ratio. The phase-sensitive observation model will then be incorporated into a model-based feature enhancement scheme and recognition experiments will be carried out on the Aurora~2 and Aurora~4 databases. The importance of incorporating phase factor information into the enhancement scheme is pointed out by all recognition results. Application of the proposed scheme under the derived uncertainty decoding framework further leads to significant improvements in both recognition tasks, eventually reaching the performance achieved with the ETSI advanced front-end.' author: - first_name: Volker full_name: Leutnant, Volker last_name: Leutnant - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Leutnant V, Haeb-Umbach R. Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition. In: Haeb-Umbach R, Kolossa D, eds. Robust Speech Recognition of Uncertain or Missing Data. Springer; 2011.' apa: Leutnant, V., & Haeb-Umbach, R. (2011). Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition. In R. Haeb-Umbach & D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data. Springer. bibtex: '@inbook{Leutnant_Haeb-Umbach_2011, title={Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition}, booktitle={Robust Speech Recognition of Uncertain or Missing Data}, publisher={Springer}, author={Leutnant, Volker and Haeb-Umbach, Reinhold}, editor={Haeb-Umbach, Reinhold and Kolossa, DorotheaEditors}, year={2011} }' chicago: Leutnant, Volker, and Reinhold Haeb-Umbach. “Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition.” In Robust Speech Recognition of Uncertain or Missing Data, edited by Reinhold Haeb-Umbach and Dorothea Kolossa. Springer, 2011. ieee: V. Leutnant and R. Haeb-Umbach, “Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition,” in Robust Speech Recognition of Uncertain or Missing Data, R. Haeb-Umbach and D. Kolossa, Eds. Springer, 2011. mla: Leutnant, Volker, and Reinhold Haeb-Umbach. “Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition.” Robust Speech Recognition of Uncertain or Missing Data, edited by Reinhold Haeb-Umbach and Dorothea Kolossa, Springer, 2011. short: 'V. Leutnant, R. Haeb-Umbach, in: R. Haeb-Umbach, D. Kolossa (Eds.), Robust Speech Recognition of Uncertain or Missing Data, Springer, 2011.' date_created: 2019-07-12T05:29:35Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' editor: - first_name: Reinhold full_name: Haeb-Umbach, Reinhold last_name: Haeb-Umbach - first_name: Dorothea full_name: Kolossa, Dorothea last_name: Kolossa language: - iso: eng publication: Robust Speech Recognition of Uncertain or Missing Data publisher: Springer status: public title: Conditional Bayesian Estimation Employing a Phase-Sensitive Observation Model for Noise Robust Speech Recognition type: book_chapter user_id: '44006' year: '2011' ... --- _id: '11866' abstract: - lang: eng text: In this work, a splitting and weighting scheme that allows for splitting a Gaussian density into a Gaussian mixture density (GMM) is extended to allow the mixture components to be arranged along arbitrary directions. The parameters of the Gaussian mixture are chosen such that the GMM and the original Gaussian still exhibit equal central moments up to an order of four. The resulting mixtures{\rq} covariances will have eigenvalues that are smaller than those of the covariance of the original distribution, which is a desirable property in the context of non-linear state estimation, since the underlying assumptions of the extended K ALMAN filter are better justified in this case. Application to speech feature enhancement in the context of noise-robust automatic speech recognition reveals the beneficial properties of the proposed approach in terms of a reduced word error rate on the Aurora 2 recognition task. author: - first_name: Volker full_name: Leutnant, Volker last_name: Leutnant - first_name: Alexander full_name: Krueger, Alexander last_name: Krueger - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Leutnant V, Krueger A, Haeb-Umbach R. A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR. In: Interspeech 2011. ; 2011.' apa: Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2011). A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR. In Interspeech 2011. bibtex: '@inproceedings{Leutnant_Krueger_Haeb-Umbach_2011, title={A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR}, booktitle={Interspeech 2011}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2011} }' chicago: Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A Versatile Gaussian Splitting Approach to Non-Linear State Estimation and Its Application to Noise-Robust ASR.” In Interspeech 2011, 2011. ieee: V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR,” in Interspeech 2011, 2011. mla: Leutnant, Volker, et al. “A Versatile Gaussian Splitting Approach to Non-Linear State Estimation and Its Application to Noise-Robust ASR.” Interspeech 2011, 2011. short: 'V. Leutnant, A. Krueger, R. Haeb-Umbach, in: Interspeech 2011, 2011.' date_created: 2019-07-12T05:29:46Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2011/LeKrHa11.pdf oa: '1' publication: Interspeech 2011 status: public title: A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR type: conference user_id: '44006' year: '2011' ... --- _id: '11911' abstract: - lang: eng text: In this paper we address the problem of initial seed selection for frequency domain iterative blind speech separation (BSS) algorithms. The derivation of the seeding algorithm is guided by the goal to select samples which are likely to be caused by source activity and not by noise and at the same time originate from different sources. The proposed algorithm has moderate computational complexity and finds better seed values than alternative schemes, as is demonstrated by experiments on the database of the SiSEC2010 challenge. author: - first_name: Dang Hai full_name: Tran Vu, Dang Hai last_name: Tran Vu - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Tran Vu DH, Haeb-Umbach R. On Initial Seed Selection for Frequency Domain Blind Speech Separation. In: Interspeech 2011. ; 2011.' apa: Tran Vu, D. H., & Haeb-Umbach, R. (2011). On Initial Seed Selection for Frequency Domain Blind Speech Separation. In Interspeech 2011. bibtex: '@inproceedings{Tran Vu_Haeb-Umbach_2011, title={On Initial Seed Selection for Frequency Domain Blind Speech Separation}, booktitle={Interspeech 2011}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2011} }' chicago: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “On Initial Seed Selection for Frequency Domain Blind Speech Separation.” In Interspeech 2011, 2011. ieee: D. H. Tran Vu and R. Haeb-Umbach, “On Initial Seed Selection for Frequency Domain Blind Speech Separation,” in Interspeech 2011, 2011. mla: Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “On Initial Seed Selection for Frequency Domain Blind Speech Separation.” Interspeech 2011, 2011. short: 'D.H. Tran Vu, R. Haeb-Umbach, in: Interspeech 2011, 2011.' date_created: 2019-07-12T05:30:38Z date_updated: 2022-01-06T06:51:12Z department: - _id: '54' language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2011/TrHa11.pdf oa: '1' publication: Interspeech 2011 status: public title: On Initial Seed Selection for Frequency Domain Blind Speech Separation type: conference user_id: '44006' year: '2011' ... --- _id: '11945' citation: ama: Kolossa D, Haeb-Umbach R, eds. Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications. Springer; 2011. apa: Kolossa, D., & Haeb-Umbach, R. (Eds.). (2011). Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications. Springer. bibtex: '@book{Kolossa_Haeb-Umbach_2011, title={Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications}, publisher={Springer}, year={2011} }' chicago: Kolossa, Dorothea, and Reinhold Haeb-Umbach, eds. Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications. Springer, 2011. ieee: D. Kolossa and R. Haeb-Umbach, Eds., Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications. Springer, 2011. mla: Kolossa, Dorothea, and Reinhold Haeb-Umbach, editors. Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications. Springer, 2011. short: D. Kolossa, R. Haeb-Umbach, eds., Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications, Springer, 2011. date_created: 2019-07-12T05:31:17Z date_updated: 2022-01-06T06:51:12Z department: - _id: '54' editor: - first_name: Dorothea full_name: Kolossa, Dorothea last_name: Kolossa - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach language: - iso: eng main_file_link: - open_access: '1' url: http://www.springer.com/engineering/signals/book/978-3-642-21316-8?detailsPage=authorsAndEditors oa: '1' publisher: Springer status: public title: Robust Speech Recognition of Uncertain or Missing Data --- Theory and Applications type: book_editor user_id: '44006' year: '2011' ... --- _id: '11973' author: - first_name: Serkan full_name: Ayaz, Serkan last_name: Ayaz - first_name: Felix full_name: Hoffmann, Felix last_name: Hoffmann - first_name: Christoph full_name: Sommer, Christoph id: '49154' last_name: Sommer orcid: 0000-0002-4336-7350 - first_name: Reinhard full_name: German, Reinhard last_name: German - first_name: Falko full_name: Dressler, Falko last_name: Dressler citation: ama: 'Ayaz S, Hoffmann F, Sommer C, German R, Dressler F. Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link. In: 2010 IEEE Global Telecommunications Conference GLOBECOM 2010. ; 2011. doi:10.1109/glocom.2010.5684106' apa: Ayaz, S., Hoffmann, F., Sommer, C., German, R., & Dressler, F. (2011). Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link. In 2010 IEEE Global Telecommunications Conference GLOBECOM 2010. https://doi.org/10.1109/glocom.2010.5684106 bibtex: '@inproceedings{Ayaz_Hoffmann_Sommer_German_Dressler_2011, title={Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link}, DOI={10.1109/glocom.2010.5684106}, booktitle={2010 IEEE Global Telecommunications Conference GLOBECOM 2010}, author={Ayaz, Serkan and Hoffmann, Felix and Sommer, Christoph and German, Reinhard and Dressler, Falko}, year={2011} }' chicago: Ayaz, Serkan, Felix Hoffmann, Christoph Sommer, Reinhard German, and Falko Dressler. “Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link.” In 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2011. https://doi.org/10.1109/glocom.2010.5684106. ieee: S. Ayaz, F. Hoffmann, C. Sommer, R. German, and F. Dressler, “Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link,” in 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2011. mla: Ayaz, Serkan, et al. “Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link.” 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2011, doi:10.1109/glocom.2010.5684106. short: 'S. Ayaz, F. Hoffmann, C. Sommer, R. German, F. Dressler, in: 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2011.' date_created: 2019-07-18T09:51:15Z date_updated: 2022-01-06T06:51:14Z department: - _id: '589' doi: 10.1109/glocom.2010.5684106 language: - iso: eng publication: 2010 IEEE Global Telecommunications Conference GLOBECOM 2010 publication_identifier: isbn: - '9781424456369' publication_status: published status: public title: Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link type: conference user_id: '49154' year: '2011' ... --- _id: '11993' author: - first_name: Falko full_name: Dressler, Falko last_name: Dressler - first_name: Christoph full_name: Sommer, Christoph id: '49154' last_name: Sommer orcid: 0000-0002-4336-7350 - first_name: David full_name: Eckhoff, David last_name: Eckhoff - first_name: Ozan full_name: Tonguz, Ozan last_name: Tonguz citation: ama: Dressler F, Sommer C, Eckhoff D, Tonguz O. Toward Realistic Simulation of Intervehicle Communication. IEEE Vehicular Technology Magazine. 2011:43-51. doi:10.1109/mvt.2011.941898 apa: Dressler, F., Sommer, C., Eckhoff, D., & Tonguz, O. (2011). Toward Realistic Simulation of Intervehicle Communication. IEEE Vehicular Technology Magazine, 43–51. https://doi.org/10.1109/mvt.2011.941898 bibtex: '@article{Dressler_Sommer_Eckhoff_Tonguz_2011, title={Toward Realistic Simulation of Intervehicle Communication}, DOI={10.1109/mvt.2011.941898}, journal={IEEE Vehicular Technology Magazine}, author={Dressler, Falko and Sommer, Christoph and Eckhoff, David and Tonguz, Ozan}, year={2011}, pages={43–51} }' chicago: Dressler, Falko, Christoph Sommer, David Eckhoff, and Ozan Tonguz. “Toward Realistic Simulation of Intervehicle Communication.” IEEE Vehicular Technology Magazine, 2011, 43–51. https://doi.org/10.1109/mvt.2011.941898. ieee: F. Dressler, C. Sommer, D. Eckhoff, and O. Tonguz, “Toward Realistic Simulation of Intervehicle Communication,” IEEE Vehicular Technology Magazine, pp. 43–51, 2011. mla: Dressler, Falko, et al. “Toward Realistic Simulation of Intervehicle Communication.” IEEE Vehicular Technology Magazine, 2011, pp. 43–51, doi:10.1109/mvt.2011.941898. short: F. Dressler, C. Sommer, D. Eckhoff, O. Tonguz, IEEE Vehicular Technology Magazine (2011) 43–51. date_created: 2019-07-18T09:52:10Z date_updated: 2022-01-06T06:51:15Z department: - _id: '589' doi: 10.1109/mvt.2011.941898 language: - iso: eng page: 43-51 publication: IEEE Vehicular Technology Magazine publication_identifier: issn: - 1556-6072 publication_status: published status: public title: Toward Realistic Simulation of Intervehicle Communication type: journal_article user_id: '49154' year: '2011' ...