--- _id: '65499' abstract: - lang: eng text: This paper examines whether player-reported workplace quality is associated with team success in the National Football League (NFL). Using panel data for all 32 NFL teams across four seasons (2022-2025), we test whether NFLPA report card rankings-player evaluations of facilities, travel, medical support, coaching, and organizational environment-are related to regular season win percentage. Fixed effects models controlling for player quality, roster composition, injuries, coaching tenure, and past performance reveal a statistically significant within-team association between better player-reported workplace conditions and higher win percentages. However, this relationship does not persist when workplace quality is lagged, suggesting that player evaluations may partly reflect current team performance rather than predict future outcomes. These findings indicate that player evaluations of workplace quality are closely aligned with team success, highlighting the role of perception and short-run performance dynamics in a high-skill labor market setting. author: - first_name: Marius full_name: Protte, Marius id: '44549' last_name: Protte orcid: 0000-0002-7529-1186 citation: ama: 'Protte M. Player-Perceived Workplace Quality and Team Performance: Evidence from NFLPA Report Cards. Published online 2026.' apa: 'Protte, M. (2026). Player-Perceived Workplace Quality and Team Performance: Evidence from NFLPA Report Cards.' bibtex: '@article{Protte_2026, title={Player-Perceived Workplace Quality and Team Performance: Evidence from NFLPA Report Cards}, author={Protte, Marius}, year={2026} }' chicago: 'Protte, Marius. “Player-Perceived Workplace Quality and Team Performance: Evidence from NFLPA Report Cards,” 2026.' ieee: 'M. Protte, “Player-Perceived Workplace Quality and Team Performance: Evidence from NFLPA Report Cards.” 2026.' mla: 'Protte, Marius. Player-Perceived Workplace Quality and Team Performance: Evidence from NFLPA Report Cards. 2026.' short: M. Protte, (2026). date_created: 2026-04-27T12:05:47Z date_updated: 2026-04-27T12:11:54Z jel: - J24 - M54 - L83 - J28 keyword: - NFL team performance - NFLPA report cards - player satisfaction - organizational environment - non-pecuniary compensation language: - iso: eng main_file_link: - url: https://ssrn.com/abstract=6653658 publication_status: published status: public title: 'Player-Perceived Workplace Quality and Team Performance: Evidence from NFLPA Report Cards' type: preprint user_id: '44549' year: '2026' ... --- _id: '45575' abstract: - lang: eng text: In this work, we discuss the possibility of improving charge neutralization in near ambient pressure X-ray photoelectron spectroscopy by co-irradiating the sample with He I photons of 21.2 eV. This UV-enhanced neutralization of charges is a variation of the so-called environmental charge compensation, which uses the electrons produced by the photoionization of the ambient gas to neutralize the positive charges built at the sample surface. Adding an additional ionization source generates more charges at the sample but also larger amounts of electrons available for neutralization. The final surface charge equilibrium depends on different aspects of the experiment, such as the sample composition and geometry, the total ionization cross sections of the gas compared to the surface materials, the gas used, the luminosity and spot size of the sources used for photoionization, and the energy of the electrons present in the gas phase. Here we illustrate the efficiency of the UV-enhanced neutralization using three different dielectric samples with different geometries (a porous SiO2 monolith with an irregular surface, a flat mica sample, and a thin SiO2 film deposited onto a Si substrate), different X-ray spot sizes, and two different gases (N2 and Ar). The effect of biasing on the efficiency of the sample surface to attract electrons produced in the gas phase is also discussed. article_number: '147317' article_type: original author: - first_name: Teresa de los full_name: Arcos, Teresa de los last_name: Arcos - first_name: Hendrik full_name: Müller, Hendrik last_name: Müller - first_name: Christian full_name: Weinberger, Christian last_name: Weinberger - first_name: Guido full_name: Grundmeier, Guido last_name: Grundmeier citation: ama: Arcos T de los, Müller H, Weinberger C, Grundmeier G. UV-enhanced environmental charge compensation in near ambient pressure XPS. Journal of Electron Spectroscopy and Related Phenomena. 2023;264(264). doi:10.1016/j.elspec.2023.147317 apa: Arcos, T. de los, Müller, H., Weinberger, C., & Grundmeier, G. (2023). UV-enhanced environmental charge compensation in near ambient pressure XPS. Journal of Electron Spectroscopy and Related Phenomena, 264(264), Article 147317. https://doi.org/10.1016/j.elspec.2023.147317 bibtex: '@article{Arcos_Müller_Weinberger_Grundmeier_2023, title={UV-enhanced environmental charge compensation in near ambient pressure XPS}, volume={264}, DOI={10.1016/j.elspec.2023.147317}, number={264147317}, journal={Journal of Electron Spectroscopy and Related Phenomena}, publisher={Elsevier}, author={Arcos, Teresa de los and Müller, Hendrik and Weinberger, Christian and Grundmeier, Guido}, year={2023} }' chicago: Arcos, Teresa de los, Hendrik Müller, Christian Weinberger, and Guido Grundmeier. “UV-Enhanced Environmental Charge Compensation in near Ambient Pressure XPS.” Journal of Electron Spectroscopy and Related Phenomena 264, no. 264 (2023). https://doi.org/10.1016/j.elspec.2023.147317. ieee: 'T. de los Arcos, H. Müller, C. Weinberger, and G. Grundmeier, “UV-enhanced environmental charge compensation in near ambient pressure XPS,” Journal of Electron Spectroscopy and Related Phenomena, vol. 264, no. 264, Art. no. 147317, 2023, doi: 10.1016/j.elspec.2023.147317.' mla: Arcos, Teresa de los, et al. “UV-Enhanced Environmental Charge Compensation in near Ambient Pressure XPS.” Journal of Electron Spectroscopy and Related Phenomena, vol. 264, no. 264, 147317, Elsevier, 2023, doi:10.1016/j.elspec.2023.147317. short: T. de los Arcos, H. Müller, C. Weinberger, G. Grundmeier, Journal of Electron Spectroscopy and Related Phenomena 264 (2023). date_created: 2023-06-12T08:09:57Z date_updated: 2023-06-12T08:12:42Z doi: 10.1016/j.elspec.2023.147317 intvolume: ' 264' issue: '264' keyword: - XPS - Near ambient pressure - Environmental charge compensation - UV language: - iso: eng publication: Journal of Electron Spectroscopy and Related Phenomena publication_identifier: issn: - 0368-2048 publication_status: published publisher: Elsevier status: public title: UV-enhanced environmental charge compensation in near ambient pressure XPS type: journal_article user_id: '11848' volume: 264 year: '2023' ... --- _id: '20688' abstract: - lang: eng text: We offer the first empirical analysis connecting the timing of general partner (GP) compensation to private equity fund performance. Using detailed information on limited partnership agreements between private equity limited and general partners, we find that “GP-friendly” contracts—agreements that pay general partners on a deal-by-deal basis instead of withholding carried interest until a benchmark return has been earned—are associated with higher returns, both gross and net of fees. This is robust to measures of performance persistence, time period effects, and other contract terms and is related to exit-timing incentives. Timing practices balance GP incentives against limited partner downside protection. article_type: original author: - first_name: Niklas full_name: Hüther, Niklas last_name: Hüther - first_name: David T. full_name: Robinson, David T. last_name: Robinson - first_name: Sönke full_name: Sievers, Sönke id: '46447' last_name: Sievers - first_name: Thomas full_name: Hartmann-Wendels, Thomas last_name: Hartmann-Wendels citation: ama: 'Hüther N, Robinson DT, Sievers S, Hartmann-Wendels T. Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships. Management Science (VHB-JOURQUAL 4 Ranking A+). 2019;66(4):1756-1782. doi:10.1287/mnsc.2018.3274' apa: 'Hüther, N., Robinson, D. T., Sievers, S., & Hartmann-Wendels, T. (2019). Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships. Management Science (VHB-JOURQUAL 4 Ranking A+), 66(4), 1756–1782. https://doi.org/10.1287/mnsc.2018.3274' bibtex: '@article{Hüther_Robinson_Sievers_Hartmann-Wendels_2019, title={Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships}, volume={66}, DOI={10.1287/mnsc.2018.3274}, number={4}, journal={Management Science (VHB-JOURQUAL 4 Ranking A+)}, author={Hüther, Niklas and Robinson, David T. and Sievers, Sönke and Hartmann-Wendels, Thomas}, year={2019}, pages={1756–1782} }' chicago: 'Hüther, Niklas, David T. Robinson, Sönke Sievers, and Thomas Hartmann-Wendels. “Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships.” Management Science (VHB-JOURQUAL 4 Ranking A+) 66, no. 4 (2019): 1756–82. https://doi.org/10.1287/mnsc.2018.3274.' ieee: 'N. Hüther, D. T. Robinson, S. Sievers, and T. Hartmann-Wendels, “Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships,” Management Science (VHB-JOURQUAL 4 Ranking A+), vol. 66, no. 4, pp. 1756–1782, 2019, doi: 10.1287/mnsc.2018.3274.' mla: 'Hüther, Niklas, et al. “Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships.” Management Science (VHB-JOURQUAL 4 Ranking A+), vol. 66, no. 4, 2019, pp. 1756–82, doi:10.1287/mnsc.2018.3274.' short: N. Hüther, D.T. Robinson, S. Sievers, T. Hartmann-Wendels, Management Science (VHB-JOURQUAL 4 Ranking A+) 66 (2019) 1756–1782. date_created: 2020-12-08T13:19:35Z date_updated: 2026-04-09T08:27:26Z department: - _id: '275' doi: 10.1287/mnsc.2018.3274 intvolume: ' 66' issue: '4' keyword: - venture capital - compensation - private equity - VC partnership - pay-performance relation language: - iso: eng main_file_link: - url: https://pubsonline.informs.org/doi/10.1287/mnsc.2018.3274 page: 1756-1782 publication: Management Science (VHB-JOURQUAL 4 Ranking A+) publication_identifier: issn: - 0025-1909 - 1526-5501 publication_status: published quality_controlled: '1' related_material: link: - relation: supplementary_material url: https://pubsonline.informs.org/doi/suppl/10.1287/mnsc.2018.3274/suppl_file/mnsc.2018.3274.sm1.pdf - relation: other url: https://corpgov.law.harvard.edu/2018/01/13/paying-for-performance-in-private-equity-evidence-from-vc-partnerships - relation: earlier_version url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3087320 status: public title: 'Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships' type: journal_article user_id: '115848' volume: 66 year: '2019' ... --- _id: '2322' abstract: - lang: eng text: "The vision of On-The-Fly Computing is an automatic composition\r\nof existing software services. Based on natural language software\r\ndescriptions, end users will receive compositions tailored to their needs.\r\nFor this reason, the quality of the initial software service description\r\nstrongly determines whether a software composition really meets the expectations\r\nof end users. In this paper, we expose open NLP challenges\r\nneeded to be faced for service composition in On-The-Fly Computing." author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Geierhos M. How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In: Silberztein M, Atigui F, Kornyshova E, Métais E, Meziane F, eds. Proceedings of the 23rd International Conference on Natural Language and Information Systems. Vol 10859. Lecture Notes in Computer Science. Cham, Switzerland: Springer; 2018:509-513. doi:10.1007/978-3-319-91947-8_53' apa: 'Bäumer, F. S., & Geierhos, M. (2018). How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, & F. Meziane (Eds.), Proceedings of the 23rd International Conference on Natural Language and Information Systems (Vol. 10859, pp. 509–513). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-91947-8_53' bibtex: '@inbook{Bäumer_Geierhos_2018, place={Cham, Switzerland}, series={Lecture Notes in Computer Science}, title={How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges}, volume={10859}, DOI={10.1007/978-3-319-91947-8_53}, booktitle={Proceedings of the 23rd International Conference on Natural Language and Information Systems}, publisher={Springer}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, editor={Silberztein, Max and Atigui, Faten and Kornyshova, Elena and Métais, Elisabeth and Meziane, Farid Editors}, year={2018}, pages={509–513}, collection={Lecture Notes in Computer Science} }' chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges.” In Proceedings of the 23rd International Conference on Natural Language and Information Systems, edited by Max Silberztein, Faten Atigui, Elena Kornyshova, Elisabeth Métais, and Farid Meziane, 10859:509–13. Lecture Notes in Computer Science. Cham, Switzerland: Springer, 2018. https://doi.org/10.1007/978-3-319-91947-8_53.' ieee: 'F. S. Bäumer and M. Geierhos, “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges,” in Proceedings of the 23rd International Conference on Natural Language and Information Systems, vol. 10859, M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, and F. Meziane, Eds. Cham, Switzerland: Springer, 2018, pp. 509–513.' mla: 'Bäumer, Frederik Simon, and Michaela Geierhos. “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges.” Proceedings of the 23rd International Conference on Natural Language and Information Systems, edited by Max Silberztein et al., vol. 10859, Springer, 2018, pp. 509–13, doi:10.1007/978-3-319-91947-8_53.' short: 'F.S. Bäumer, M. Geierhos, in: M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, F. Meziane (Eds.), Proceedings of the 23rd International Conference on Natural Language and Information Systems, Springer, Cham, Switzerland, 2018, pp. 509–513.' conference: end_date: 2018-06-18 location: Paris, France name: 23rd International Conference on Natural Language and Information Systems start_date: 2018-06-13 date_created: 2018-04-13T08:54:56Z date_updated: 2022-01-06T06:55:47Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' doi: 10.1007/978-3-319-91947-8_53 editor: - first_name: 'Max ' full_name: 'Silberztein, Max ' last_name: Silberztein - first_name: 'Faten ' full_name: 'Atigui, Faten ' last_name: Atigui - first_name: 'Elena ' full_name: 'Kornyshova, Elena ' last_name: Kornyshova - first_name: 'Elisabeth ' full_name: 'Métais, Elisabeth ' last_name: Métais - first_name: 'Farid ' full_name: 'Meziane, Farid ' last_name: Meziane file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T16:12:26Z date_updated: 2018-11-02T16:12:26Z file_id: '5326' file_name: Bäumer-Geierhos2018_Chapter_HowToDealWithInaccurateService.pdf file_size: 327508 relation: main_file success: 1 file_date_updated: 2018-11-02T16:12:26Z has_accepted_license: '1' intvolume: ' 10859' keyword: - Requirements Extraction - Temporal Reordering of Software Functions - Inaccuracy Compensation language: - iso: eng page: 509-513 place: Cham, Switzerland project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 23rd International Conference on Natural Language and Information Systems publication_identifier: isbn: - 978-3-319-91946-1 publication_status: published publisher: Springer quality_controlled: '1' series_title: Lecture Notes in Computer Science status: public title: 'How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges' type: book_chapter user_id: '477' volume: 10859 year: '2018' ... --- _id: '5185' abstract: - lang: eng text: 'We offer the first empirical analysis connecting the timing of general partner (GP) compensation to private equity fund performance. Using detailed information on limited partnership agreements between private equity limited and general partners, we find that "GP-friendly" contracts - agreements that pay general partners on a deal-by-deal basis instead of withholding carried interest until a benchmark return has been earned - are associated with higher returns, both gross and net of fees. This is robust to measures of performance persistence, time period effects, and other contract terms, and is related to exit-timing incentives. Timing practices balance GP incentives against limited partner downside protection. ' author: - first_name: Niklas full_name: Hüther, Niklas last_name: Hüther - first_name: David full_name: Robinson, David last_name: Robinson - first_name: Sönke full_name: Sievers, Sönke last_name: Sievers - first_name: Thomas full_name: Hartmann-Wendels, Thomas last_name: Hartmann-Wendels citation: ama: 'Hüther N, Robinson D, Sievers S, Hartmann-Wendels T. Paying for Performance in Private Equity: Evidence from VC Partnerships. SSRN Electronic Journal. 2017. doi:10.2139/ssrn.3087320' apa: 'Hüther, N., Robinson, D., Sievers, S., & Hartmann-Wendels, T. (2017). Paying for Performance in Private Equity: Evidence from VC Partnerships. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3087320' bibtex: '@article{Hüther_Robinson_Sievers_Hartmann-Wendels_2017, title={Paying for Performance in Private Equity: Evidence from VC Partnerships}, DOI={10.2139/ssrn.3087320}, journal={SSRN Electronic Journal}, author={Hüther, Niklas and Robinson, David and Sievers, Sönke and Hartmann-Wendels, Thomas}, year={2017} }' chicago: 'Hüther, Niklas, David Robinson, Sönke Sievers, and Thomas Hartmann-Wendels. “Paying for Performance in Private Equity: Evidence from VC Partnerships.” SSRN Electronic Journal, 2017. https://doi.org/10.2139/ssrn.3087320.' ieee: 'N. Hüther, D. Robinson, S. Sievers, and T. Hartmann-Wendels, “Paying for Performance in Private Equity: Evidence from VC Partnerships,” SSRN Electronic Journal, 2017.' mla: 'Hüther, Niklas, et al. “Paying for Performance in Private Equity: Evidence from VC Partnerships.” SSRN Electronic Journal, 2017, doi:10.2139/ssrn.3087320.' short: N. Hüther, D. Robinson, S. Sievers, T. Hartmann-Wendels, SSRN Electronic Journal (2017). date_created: 2018-10-31T10:48:46Z date_updated: 2022-01-06T07:01:41Z department: - _id: '275' doi: 10.2139/ssrn.3087320 jel: - G10 - G23 - G24 keyword: - venture capital - compensation - private equity - VC partnership - pay-performance relation language: - iso: eng publication: SSRN Electronic Journal status: public title: 'Paying for Performance in Private Equity: Evidence from VC Partnerships' type: journal_article user_id: '64756' year: '2017' ... --- _id: '3376' abstract: - lang: eng text: Employing compensation data provided by 63 banks from 16 European countries for the period from 2000 to 2010 this paper empirically investigates the impact of excess variable compensation on bank risk. As a main finding, we provide evidence for a risk-increasing impact of excess variable pay for both executive variable cash-based and variable equity-based compensation. This baseline finding holds under various robustness checks, in particular when controlling for likely reverse causality between bank risk and variable compensation by employing Granger-causality tests and instrumental variable regressions. In addition, results from a large number of sensitivity analyses including board and banking characteristics as well as the financial crisis period and the quality of a country's regulatory framework provide further important implications for banking regulators and politicians in Europe. author: - first_name: André full_name: Uhde, André id: '36049' last_name: Uhde orcid: https://orcid.org/0000-0002-8058-8857 citation: ama: 'Uhde A. Risk-taking incentives through excess variable compensation: Evidence from European banks. The Quarterly Review of Economics and Finance. 2016;60(5):12-28. doi:https://doi.org/10.1016/j.qref.2015.11.009' apa: 'Uhde, A. (2016). Risk-taking incentives through excess variable compensation: Evidence from European banks. The Quarterly Review of Economics and Finance, 60(5), 12–28. https://doi.org/10.1016/j.qref.2015.11.009' bibtex: '@article{Uhde_2016, title={Risk-taking incentives through excess variable compensation: Evidence from European banks}, volume={60}, DOI={https://doi.org/10.1016/j.qref.2015.11.009}, number={5}, journal={The Quarterly Review of Economics and Finance}, publisher={Elsevier}, author={Uhde, André}, year={2016}, pages={12–28} }' chicago: 'Uhde, André. “Risk-Taking Incentives through Excess Variable Compensation: Evidence from European Banks.” The Quarterly Review of Economics and Finance 60, no. 5 (2016): 12–28. https://doi.org/10.1016/j.qref.2015.11.009.' ieee: 'A. Uhde, “Risk-taking incentives through excess variable compensation: Evidence from European banks,” The Quarterly Review of Economics and Finance, vol. 60, no. 5, pp. 12–28, 2016, doi: https://doi.org/10.1016/j.qref.2015.11.009.' mla: 'Uhde, André. “Risk-Taking Incentives through Excess Variable Compensation: Evidence from European Banks.” The Quarterly Review of Economics and Finance, vol. 60, no. 5, Elsevier, 2016, pp. 12–28, doi:https://doi.org/10.1016/j.qref.2015.11.009.' short: A. Uhde, The Quarterly Review of Economics and Finance 60 (2016) 12–28. date_created: 2018-06-27T12:16:57Z date_updated: 2023-01-10T09:38:37Z department: - _id: '186' - _id: '188' doi: https://doi.org/10.1016/j.qref.2015.11.009 intvolume: ' 60' issue: '5' jel: - G21 - G28 - G32 - J33 keyword: - Banking - Executive compensation - Risk-taking - Financial stability language: - iso: eng page: 12-28 publication: The Quarterly Review of Economics and Finance publication_status: published publisher: Elsevier status: public title: 'Risk-taking incentives through excess variable compensation: Evidence from European banks' type: journal_article user_id: '21810' volume: 60 year: '2016' ... --- _id: '11861' abstract: - lang: eng text: 'In this contribution we present a theoretical and experimental investigation into the effects of reverberation and noise on features in the logarithmic mel power spectral domain, an intermediate stage in the computation of the mel frequency cepstral coefficients, prevalent in automatic speech recognition (ASR). Gaining insight into the complex interaction between clean speech, noise, and noisy reverberant speech features is essential for any ASR system to be robust against noise and reverberation present in distant microphone input signals. The findings are gathered in a probabilistic formulation of an observation model which may be used in model-based feature compensation schemes. The proposed observation model extends previous models in three major directions: First, the contribution of additive background noise to the observation error is explicitly taken into account. Second, an energy compensation constant is introduced which ensures an unbiased estimate of the reverberant speech features, and, third, a recursive variant of the observation model is developed resulting in reduced computational complexity when used in model-based feature compensation. The experimental section is used to evaluate the accuracy of the model and to describe how its parameters can be determined from test data.' 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 New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2014;22(1):95-109. doi:10.1109/TASLP.2013.2285480 apa: Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2014). A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 22(1), 95–109. https://doi.org/10.1109/TASLP.2013.2285480 bibtex: '@article{Leutnant_Krueger_Haeb-Umbach_2014, title={A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech}, volume={22}, DOI={10.1109/TASLP.2013.2285480}, number={1}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2014}, pages={95–109} }' chicago: 'Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.” IEEE/ACM Transactions on Audio, Speech, and Language Processing 22, no. 1 (2014): 95–109. https://doi.org/10.1109/TASLP.2013.2285480.' ieee: V. Leutnant, A. Krueger, and R. Haeb-Umbach, “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 1, pp. 95–109, 2014. mla: Leutnant, Volker, et al. “A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech.” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 1, 2014, pp. 95–109, doi:10.1109/TASLP.2013.2285480. short: V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2014) 95–109. date_created: 2019-07-12T05:29:41Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' doi: 10.1109/TASLP.2013.2285480 intvolume: ' 22' issue: '1' keyword: - computational complexity - reverberation - speech recognition - automatic speech recognition - background noise - clean speech - computational complexity - energy compensation - logarithmic mel power spectral domain - mel frequency cepstral coefficients - microphone input signals - model-based feature compensation schemes - noisy reverberant speech automatic recognition - noisy reverberant speech features - reverberation - Atmospheric modeling - Computational modeling - Noise - Noise measurement - Reverberation - Speech - Vectors - Model-based feature compensation - observation model for reverberant and noisy speech - recursive observation model - robust automatic speech recognition language: - iso: eng page: 95-109 publication: IEEE/ACM Transactions on Audio, Speech, and Language Processing publication_identifier: issn: - 2329-9290 status: public title: A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech type: journal_article user_id: '44006' volume: 22 year: '2014' ... --- _id: '11867' abstract: - lang: eng text: 'New waves of consumer-centric applications, such as voice search and voice interaction with mobile devices and home entertainment systems, increasingly require automatic speech recognition (ASR) to be robust to the full range of real-world noise and other acoustic distorting conditions. Despite its practical importance, however, the inherent links between and distinctions among the myriad of methods for noise-robust ASR have yet to be carefully studied in order to advance the field further. To this end, it is critical to establish a solid, consistent, and common mathematical foundation for noise-robust ASR, which is lacking at present. This article is intended to fill this gap and to provide a thorough overview of modern noise-robust techniques for ASR developed over the past 30 years. We emphasize methods that are proven to be successful and that are likely to sustain or expand their future applicability. We distill key insights from our comprehensive overview in this field and take a fresh look at a few old problems, which nevertheless are still highly relevant today. Specifically, we have analyzed and categorized a wide range of noise-robust techniques using five different criteria: 1) feature-domain vs. model-domain processing, 2) the use of prior knowledge about the acoustic environment distortion, 3) the use of explicit environment-distortion models, 4) deterministic vs. uncertainty processing, and 5) the use of acoustic models trained jointly with the same feature enhancement or model adaptation process used in the testing stage. With this taxonomy-oriented review, we equip the reader with the insight to choose among techniques and with the awareness of the performance-complexity tradeoffs. The pros and cons of using different noise-robust ASR techniques in practical application scenarios are provided as a guide to interested practitioners. The current challenges and future research directions in this field is also carefully analyzed.' author: - first_name: Jinyu full_name: Li, Jinyu last_name: Li - first_name: Li full_name: Deng, Li last_name: Deng - first_name: Yifan full_name: Gong, Yifan last_name: Gong - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: Li J, Deng L, Gong Y, Haeb-Umbach R. An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing. 2014;22(4):745-777. doi:10.1109/TASLP.2014.2304637 apa: Li, J., Deng, L., Gong, Y., & Haeb-Umbach, R. (2014). An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing, 22(4), 745–777. https://doi.org/10.1109/TASLP.2014.2304637 bibtex: '@article{Li_Deng_Gong_Haeb-Umbach_2014, title={An Overview of Noise-Robust Automatic Speech Recognition}, volume={22}, DOI={10.1109/TASLP.2014.2304637}, number={4}, journal={IEEE Transactions on Audio, Speech and Language Processing}, author={Li, Jinyu and Deng, Li and Gong, Yifan and Haeb-Umbach, Reinhold}, year={2014}, pages={745–777} }' chicago: 'Li, Jinyu, Li Deng, Yifan Gong, and Reinhold Haeb-Umbach. “An Overview of Noise-Robust Automatic Speech Recognition.” IEEE Transactions on Audio, Speech and Language Processing 22, no. 4 (2014): 745–77. https://doi.org/10.1109/TASLP.2014.2304637.' ieee: J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust Automatic Speech Recognition,” IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no. 4, pp. 745–777, 2014. mla: Li, Jinyu, et al. “An Overview of Noise-Robust Automatic Speech Recognition.” IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no. 4, 2014, pp. 745–77, doi:10.1109/TASLP.2014.2304637. short: J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech and Language Processing 22 (2014) 745–777. date_created: 2019-07-12T05:29:47Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' doi: 10.1109/TASLP.2014.2304637 intvolume: ' 22' issue: '4' keyword: - Speech recognition - compensation - distortion modeling - joint model training - noise - robustness - uncertainty processing language: - iso: eng main_file_link: - open_access: '1' url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6732927 oa: '1' page: 745-777 publication: IEEE Transactions on Audio, Speech and Language Processing status: public title: An Overview of Noise-Robust Automatic Speech Recognition type: journal_article user_id: '44006' volume: 22 year: '2014' ... --- _id: '11862' abstract: - lang: eng text: In this contribution we extend a previously proposed Bayesian approach for the enhancement of reverberant logarithmic mel power spectral coefficients for robust automatic speech recognition to the additional compensation of background noise. A recently proposed observation model is employed whose time-variant observation error statistics are obtained as a side product of the inference of the a posteriori probability density function of the clean speech feature vectors. Further a reduction of the computational effort and the memory requirements are achieved by using a recursive formulation of the observation model. The performance of the proposed algorithms is first experimentally studied on a connected digits recognition task with artificially created noisy reverberant data. It is shown that the use of the time-variant observation error model leads to a significant error rate reduction at low signal-to-noise ratios compared to a time-invariant model. Further experiments were conducted on a 5000 word task recorded in a reverberant and noisy environment. A significant word error rate reduction was obtained demonstrating the effectiveness of the approach on real-world data. 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. Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2013;21(8):1640-1652. doi:10.1109/TASL.2013.2258013 apa: Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 21(8), 1640–1652. https://doi.org/10.1109/TASL.2013.2258013 bibtex: '@article{Leutnant_Krueger_Haeb-Umbach_2013, title={Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition}, volume={21}, DOI={10.1109/TASL.2013.2258013}, number={8}, journal={IEEE Transactions on Audio, Speech, and Language Processing}, author={Leutnant, Volker and Krueger, Alexander and Haeb-Umbach, Reinhold}, year={2013}, pages={1640–1652} }' chicago: 'Leutnant, Volker, Alexander Krueger, and Reinhold Haeb-Umbach. “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition.” IEEE Transactions on Audio, Speech, and Language Processing 21, no. 8 (2013): 1640–52. https://doi.org/10.1109/TASL.2013.2258013.' ieee: V. Leutnant, A. Krueger, and R. Haeb-Umbach, “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 8, pp. 1640–1652, 2013. mla: Leutnant, Volker, et al. “Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition.” IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 8, 2013, pp. 1640–52, doi:10.1109/TASL.2013.2258013. short: V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 21 (2013) 1640–1652. date_created: 2019-07-12T05:29:42Z date_updated: 2022-01-06T06:51:11Z department: - _id: '54' doi: 10.1109/TASL.2013.2258013 intvolume: ' 21' issue: '8' keyword: - Bayes methods - compensation - error statistics - reverberation - speech recognition - Bayesian feature enhancement - background noise - clean speech feature vectors - compensation - connected digits recognition task - error statistics - memory requirements - noisy reverberant data - posteriori probability density function - recursive formulation - reverberant logarithmic mel power spectral coefficients - robust automatic speech recognition - signal-to-noise ratios - time-variant observation - word error rate reduction - Robust automatic speech recognition - model-based Bayesian feature enhancement - observation model for reverberant and noisy speech - recursive observation model language: - iso: eng page: 1640-1652 publication: IEEE Transactions on Audio, Speech, and Language Processing status: public title: Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition type: journal_article user_id: '44006' volume: 21 year: '2013' ... --- _id: '11824' abstract: - lang: eng text: Soft-feature based speech recognition, which is an example of uncertainty decoding, has been proven to be a robust error mitigation method for distributed speech recognition over wireless channels exhibiting bit errors. In this paper we extend this concept to packet-oriented transmissions. The a posteriori probability density function of the lost feature vector, given the closest received neighbours, is computed. In the experiments, the nearest frame repetition, which is shown to be equivalent to the MAP estimate, outperforms the MMSE estimate for long bursts. Taking the variance into account at the speech recognition stage results in superior performance compared to classical schemes using point estimates. A computationally and memory efficient implementation of the proposed packet loss compensation scheme based on table lookup is presented author: - first_name: Valentin full_name: Ion, Valentin last_name: Ion - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: ama: 'Ion V, Haeb-Umbach R. An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006). Vol 1. ; 2006:I. doi:10.1109/ICASSP.2006.1659984' apa: Ion, V., & Haeb-Umbach, R. (2006). An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) (Vol. 1, p. I). https://doi.org/10.1109/ICASSP.2006.1659984 bibtex: '@inproceedings{Ion_Haeb-Umbach_2006, title={An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features}, volume={1}, DOI={10.1109/ICASSP.2006.1659984}, booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)}, author={Ion, Valentin and Haeb-Umbach, Reinhold}, year={2006}, pages={I} }' chicago: Ion, Valentin, and Reinhold Haeb-Umbach. “An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features.” In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 1:I, 2006. https://doi.org/10.1109/ICASSP.2006.1659984. ieee: V. Ion and R. Haeb-Umbach, “An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, vol. 1, p. I. mla: Ion, Valentin, and Reinhold Haeb-Umbach. “An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), vol. 1, 2006, p. I, doi:10.1109/ICASSP.2006.1659984. short: 'V. Ion, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, p. I.' date_created: 2019-07-12T05:28:58Z date_updated: 2022-01-06T06:51:10Z department: - _id: '54' doi: 10.1109/ICASSP.2006.1659984 intvolume: ' 1' keyword: - distributed speech recognition - least mean squares methods - MAP estimate - maximum likelihood estimation - MMSE estimate - packet loss compensation scheme - packet switched communication - posteriori probability density function - robust error mitigation method - soft-features - speech recognition - table lookup - voice communication - wireless channels language: - iso: eng main_file_link: - open_access: '1' url: https://groups.uni-paderborn.de/nt/pubs/2006/IoHa06-2.pdf oa: '1' page: I publication: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006) status: public title: An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features type: conference user_id: '44006' volume: 1 year: '2006' ...