| Individual aided speech-recognition performance and predictions of benefit for listeners with impaired hearing employing FADE MR Schädler, D Hülsmeier, A Warzybok, B Kollmeier Trends in hearing 24, 2331216520938929, 2020 | 36 | 2020 |
| Microscopic multilingual matrix test predictions using an ASR-based speech recognition model. MR Schädler, D Hülsmeier, A Warzybok, S Hochmuth, B Kollmeier Interspeech, 610-614, 2016 | 16 | 2016 |
| Perception of sound quality of product sounds a subjective study using a semantic differential D Hülsmeier, L Schell-Majoor, J Rennies, S van de Par Proceedings of the International Congress on Noise Control Engineering, 843-851, 2014 | 16 | 2014 |
| A flexible data-driven audiological patient stratification method for deriving auditory profiles S Saak, D Huelsmeier, B Kollmeier, M Buhl Frontiers in neurology 13, 959582, 2022 | 10 | 2022 |
| Inference of the distortion component of hearing impairment from speech recognition by predicting the effect of the attenuation component D Hülsmeier, M Buhl, N Wardenga, A Warzybok, MR Schädler, ... International journal of audiology 61 (3), 205-219, 2022 | 10 | 2022 |
| Modeling the onset advantage in musical instrument recognition K Siedenburg, MR Schädler, D Hülsmeier The journal of the Acoustical Society of America 146 (6), EL523-EL529, 2019 | 10 | 2019 |
| Simulations with FADE of the effect of impaired hearing on speech recognition performance cast doubt on the role of spectral resolution D Hülsmeier, A Warzybok, B Kollmeier, MR Schädler Hearing Research 395, 107995, 2020 | 9 | 2020 |
| Model-based integration of reverberation for noise-adaptive near-end listening enhancement. HF Schepker, D Hülsmeier, J Rennies, S Doclo INTERSPEECH, 75-79, 2015 | 9 | 2015 |
| DARF: A data-reduced FADE version for simulations of speech recognition thresholds with real hearing aids D Hülsmeier, MR Schädler, B Kollmeier Hearing Research 404, 108217, 2021 | 8 | 2021 |
| Extension of the framework for auditory discrimination experiments (FADE) to predict the goettingen (everyday) sentence speech test D Huelsmeier, A Warzybok, MR Schaedler Speech Communication; 13th ITG-Symposium, 1-5, 2018 | 8 | 2018 |
| Towards non-intrusive prediction of speech recognition thresholds in binaural conditions D Huelsmeier, CF Hauth, S Roettges, P Kranzusch, J Rossbach, ... Speech Communication; 14th ITG Conference, 1-5, 2021 | 7 | 2021 |
| How much individualization is required to predict the individual effect of suprathreshold processing deficits? Assessing Plomp's distortion component with psychoacoustic … D Hülsmeier, B Kollmeier Hearing Research 426, 108609, 2022 | 4 | 2022 |
| Extension and evaluation of a near-end listening enhancement algorithm for listeners with normal and impaired hearing J Rennies, J Drefs, D Hülsmeier, H Schepker, S Doclo The Journal of the Acoustical Society of America 141 (4), 2526-2537, 2017 | 4 | 2017 |
| How Does Inattention Influence the Robustness and Efficiency of Adaptive Procedures in the Context of Psychoacoustic Assessments via Smartphone? C Xu, D Hülsmeier, M Buhl, B Kollmeier Trends in Hearing 28, 23312165241288051, 2024 | 3 | 2024 |
| Wahrnehmung der Klangqualität von Produktgeräuschen D Hülsmeier, L Schell-Majoor, J Rennies, S van de Par Bachelorarbeit, Carl von Ossietzky Universität Oldenburg, Fraunhofer IDMT …, 2014 | 2 | 2014 |
| Measurement, assessment and modeling of loudness of kindergarten noise J Rennies, FX Nsabimana, D Hulsmeier, S Meyer Deutsche Jahrestagung für Akustik (DAGA) 2015, 2015 | 1 | 2015 |
| Modelling speech reception thresholds and their improvements due to spatial noise reduction algorithms in bimodal cochlear implant users A Zedan, T Jürgens, B Williges, D Hülsmeier, B Kollmeier Hearing Research 420, 108507, 2022 | | 2022 |
| Simulating Impaired Hearing with the Framework for Auditory Discrimination Experiments (FADE): Towards Aided Patient Performance Prediction D Hülsmeier Carl von Ossietzky Universität Oldenburg, 2020 | | 2020 |
| Towards accurate simulations of individual speech recognition benefits with real hearing aids with FADE. D Hülsmeier, MR Schädler, B Kollmeier CoRR, 2020 | | 2020 |
| Assessing the role of onsets for musical instrument identification in an auditory modeling framework K Siedenburg, MR Schädler, D Hülsmeier Universitätsbibliothek der RWTH Aachen, 2019 | | 2019 |