| Spectro-temporal modulation subspace-spanning filter bank features for robust automatic speech recognition MR Schädler, BT Meyer, B Kollmeier The Journal of the Acoustical Society of America 131 (5), 4134-4151, 2012 | 157 | 2012 |
| Separable spectro-temporal Gabor filter bank features: Reducing the complexity of robust features for automatic speech recognition MR Schädler, B Kollmeier The Journal of the Acoustical Society of America 137 (4), 2047-2059, 2015 | 66 | 2015 |
| Matrix sentence intelligibility prediction using an automatic speech recognition system MR Schädler, A Warzybok, S Hochmuth, B Kollmeier International Journal of Audiology 54 (sup2), 100-107, 2015 | 65 | 2015 |
| Sentence recognition prediction for hearing-impaired listeners in stationary and fluctuation noise with FADE: Empowering the attenuation and distortion concept by Plomp with a … B Kollmeier, MR Schädler, A Warzybok, BT Meyer, T Brand Trends in hearing 20, 2331216516655795, 2016 | 51 | 2016 |
| A simulation framework for auditory discrimination experiments: Revealing the importance of across-frequency processing in speech perception MR Schädler, A Warzybok, SD Ewert, B Kollmeier The journal of the acoustical society of America 139 (5), 2708-2722, 2016 | 50 | 2016 |
| Comparing different flavors of spectro-temporal features for ASR BT Meyer, SV Ravuri, MR Schädler, N Morgan Twelfth Annual Conference of the International Speech Communication Association, 2011 | 48 | 2011 |
| Objective prediction of hearing aid benefit across listener groups using machine learning: Speech recognition performance with binaural noise-reduction algorithms MR Schädler, A Warzybok, B Kollmeier Trends in hearing 22, 2331216518768954, 2018 | 40 | 2018 |
| On the use of spectro-temporal features for the IEEE AASP challenge ‘detection and classification of acoustic scenes and events’ J Schröder, N Moritz, MR Schädler, B Cauchi, K Adiloglu, J Anemüller, ... 2013 IEEE Workshop on Applications of Signal Processing to Audio and …, 2013 | 38 | 2013 |
| Noise robust distant automatic speech recognition utilizing NMF based source separation and auditory feature extraction N Moritz, MR Schädler, K Adiloglu, BT Meyer, T Jürgens, T Gerkmann, ... Proc. of CHiME, 1-6, 2013 | 31 | 2013 |
| 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 | 29 | 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 | 15 | 2016 |
| Common Audiological Functional Parameters (CAFPAs): statistical and compact representation of rehabilitative audiological classification based on expert knowledge M Buhl, A Warzybok, MR Schädler, T Lenarz, O Majdani, B Kollmeier International journal of audiology 58 (4), 231-245, 2019 | 14 | 2019 |
| Normalization of spectro-temporal Gabor filter bank features for improved robust automatic speech recognition systems MR Schädler, B Kollmeier Thirteenth Annual Conference of the International Speech Communication …, 2012 | 10 | 2012 |
| 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 |
| 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 | 8 | 2022 |
| Common Audiological Functional Parameters (CAFPAs) for single patient cases: Deriving statistical models from an expert-labelled data set M Buhl, A Warzybok, MR Schädler, O Majdani, B Kollmeier International Journal of Audiology 59 (7), 534-547, 2020 | 8 | 2020 |
| Optimization and evaluation of an intelligibility-improving signal processing approach (IISPA) for the Hurricane Challenge 2.0 with FADE. MR Schädler INTERSPEECH, 1331-1335, 2020 | 6 | 2020 |
| Simulating spatial speech recognition performance with an automatic-speech-recognition-based model MR Schädler, P Kranzusch, C Hauth, A Warzybok Proceedings of DAGA, Deutsche Gesellschaft für Akustik, 908-911, 2020 | 6 | 2020 |
| 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 | 6 | 2019 |
| 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 | 6 | 2018 |
