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Marc René Schädler

Observed names: M. R. René Schädler, Marc R. Schädler, Marc Rene Schadler, Schädler, Marc René
ORCID: 0000-0001-6731-7377
Observed ORCID: 0000-0001-6731-7377
OpenAlex ID: A5079185756
Spectro-temporal modulation subspace-spanning filter bank features for robust automatic speech recognition
2012 · Marc René Schädler, Bernd T. Meyer, et al. · The Journal of the Acoustical Society of America · 133
Matrix sentence intelligibility prediction using an automatic speech recognition system
2015 · Marc René Schädler, Anna Warzybok, et al. · International Journal of Audiology · 68
Separable spectro-temporal Gabor filter bank features: Reducing the complexity of robust features for automatic speech recognition
2015 · Marc René Schädler, Birger Kollmeier · The Journal of the Acoustical Society of America · 67
A simulation framework for auditory discrimination experiments: Revealing the importance of across-frequency processing in speech perception
2016 · Marc René Schädler, Anna Warzybok, et al. · The Journal of the Acoustical Society of America · 47
Objective Prediction of Hearing Aid Benefit Across Listener Groups Using Machine Learning: Speech Recognition Performance With Binaural Noise-Reduction Algorithms
2018 · Marc R. Schädler, Anna Warzybok, et al. · Trends in Hearing · 41
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Sentence Recognition Prediction for Hearing-impaired Listeners in Stationary and Fluctuation Noise With FADE
2016 · Birger Kollmeier, Marc René Schädler, et al. · Trends in Hearing · 41
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Comparing different flavors of spectro-temporal features for ASR
2011 · Bernd T. Meyer, Suman V. Ravuri, et al. · Interspeech (USB) · 36
Individual Aided Speech-Recognition Performance and Predictions of Benefit for Listeners With Impaired Hearing Employing FADE
2020 · Marc R. Schädler, David Hülsmeier, et al. · Trends in Hearing · 34
On the use of spectro-temporal features for the IEEE AASP challenge ‘detection and classification of acoustic scenes and events’
2013 · Jens Schroder, Niko Moritz, et al. · IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) · 28
Modeling the onset advantage in musical instrument recognition
2019 · Kai Siedenburg, Marc René Schädler, et al. · The Journal of the Acoustical Society of America · 24
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Noise Robust Distant Automatic Speech Recognition Utilizing Nmf Based Source Separation and Auditory Feature Extraction
2013 · Niko Moritz, Marc René Schädler, et al. · 24
Inference of the distortion component of hearing impairment from speech recognition by predicting the effect of the attenuation component
2021 · David Hülsmeier, Mareike Buhl, et al. · International Journal of Audiology · 15
Simulations with FADE of the effect of impaired hearing on speech recognition performance cast doubt on the role of spectral resolution
2020 · David Hülsmeier, Anna Warzybok, et al. · Hearing Research · 11
Common Audiological Functional Parameters (CAFPAs): statistical and compact representation of rehabilitative audiological classification based on expert knowledge
2019 · Mareike Buhl, Anna Warzybok, et al. · International Journal of Audiology · 11
Microscopic Multilingual Matrix Test Predictions Using an ASR-Based Speech Recognition Model
2016 · Marc René Schädler, David Hülsmeier, et al. · Interspeech (USB) · 11
Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set
2020 · Mareike Buhl, Anna Warzybok, et al. · International Journal of Audiology · 10
Normalization of spectro-temporal Gabor filter bank features for improved robust automatic speech recognition systems
2012 · Marc René Schädler, Birger Kollmeier · Interspeech (USB) · 9
DARF: A data-reduced FADE version for simulations of speech recognition thresholds with real hearing aids
2021 · David Hülsmeier, Marc René Schädler, et al. · Hearing Research · 6
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Optimization and Evaluation of an Intelligibility-Improving Signal Processing Approach (IISPA) for the Hurricane Challenge 2.0 with FADE
2020 · Marc René Schädler · Interspeech (USB) · 6
Extension of the Framework for auditory discrimination experiments (FADE) to predict the Goettingen (everyday) sentence speech test.
2018 · David Hülsmeier, Anna Warzybok, et al. · ITG Symposium of Speech Communication · 6
A physiologically-inspired model reproducing the speech intelligibility benefit in cochlear implant listeners with residual acoustic hearing
2016 · Ladan Zamaninezhad, Volker Hohmann, et al. · Hearing Research · 6
Sensitivity and specificity of automatic audiological classification using expert-labelled audiological data and Common Audiological Functional Parameters
2020 · Mareike Buhl, Anna Warzybok, et al. · International Journal of Audiology · 5
Why do ASR Systems Despite Neural Nets Still Depend on Robust Features
2016 · Angel Mario Castro Martinez, Marc René Schädler · Interspeech (USB) · 5
Robust automatic speech recognition and modeling of auditory \ndiscrimination experiments with auditory spectro-temporal features
2016 · Schädler, Marc René · Carl von Ossiezky University of Oldenburg · 2
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Do We Need STRFs for Cocktail Parties? On the Relevance of Physiologically Motivated Features for Human Speech Perception Derived from Automatic Speech Recognition
2013 · B. Kollmeier, M. R. René Schädler, et al. · Advances in experimental medicine and biology · 2
Works count: 46
Citation count: 654
H-index: 12
I10-index: 16
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