| Estimating Source Dominated Microphone Clusters in Ad-Hoc Microphone Arrays by Fuzzy Clustering in the Feature Space S Gergen, R Martin ITG-Fachtagung Sprachkommunikation, 2016 | 51 | 2016 |
| Dynamic Stream Weighting for Turbo-Decoding-Based Audiovisual ASR S Gergen, S Zeiler, AH Abdelaziz, R Nickel, D Kolossa Interspeech 2016, 2135-2139, 2016 | 47 | 2016 |
| Classification of reverberant audio signals using clustered ad hoc distributed microphones S Gergen, A Nagathil, R Martin Signal Processing 107, 21-32, 2015 | 36 | 2015 |
| Audio signal classification in reverberant environments based on fuzzy-clustered ad-hoc microphone arrays S Gergen, A Nagathil, R Martin 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 13 | 2013 |
| An optimized parametric model for the simulation of reverberant microphone signals S Gergen, C Borß, N Madhu, R Martin Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE …, 2012 | 11 | 2012 |
| Source separation by fuzzy-membership value aware beamforming and masking in ad hoc arrays S Gergen, R Martin, N Madhu 13. ITG Fachtagung Sprachkommunikation, 2018 | 10 | 2018 |
| Source separation by feature-based clustering of microphones in ad hoc arrays S Gergen, R Martin, N Madhu IWAENC2018, the IEEE International Workshop on Acoustic Signal Enhancement …, 2018 | 9 | 2018 |
| Linear Combining of Audio Features for Signal Classification in Ad-Hoc Microphone Arrays S Gergen, R Martin ITG Conference on Speech Communication, 2014 | 8 | 2014 |
| Towards Opaque Audio Features for Privacy in Acoustic Sensor Networks A Nelus, S Gergen, J Taghia, R Martin ITG-Fachtagung Sprachkommunikation, 2016 | 7 | 2016 |
| Analysis of temporal aggregation and dimensionality reduction on feature sets for speaker identification in wireless acoustic sensor networks A Nelus, S Gergen, R Martin Multimedia Signal Processing (MMSP), 2017 IEEE 19th International Workshop …, 2017 | 5 | 2017 |
| Reduction of Reverberation Effects in the MFCC Modulation Spectrum for Improved Classification of Acoustic Signals S Gergen, A Nagathil, R Martin Sixteenth Annual Conference of the International Speech Communication …, 2015 | 5 | 2015 |
| A robust sequential hypothesis testing method for brake squeal localisation N Madhu, S Gergen, R Martin The Journal of the Acoustical Society of America 146 (6), 4898-4912, 2019 | 4 | 2019 |
| Performance characterization of linear arrays with respect to robust MVDR beamforming S Gergen, N Madhu, R Martin Proc. International Workshop on Acoustic Echo and Noise Control (IWAENC), 2010 | 3 | 2010 |
| Classification of audio sources using ad-hoc microphone arrays S Gergen | 2 | 2016 |
| A hierarchical approach for the online, on-board detection and localisation of brake squeal using microphone arrays N Madhu, R Martin, HW Rehn, S Gergen, A Fischer Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014 4th …, 2014 | 2 | 2014 |
| A New Performance Criterion for Microphone Array Geometries and Filterand-Sum Beamforming S Gergen, N Madhu, R Martin ITG-Fachbericht-Sprachkommunikation 2010, 2010 | 1 | 2010 |
| KI-Was soll der ganze Quatsch?: Praktische Anleitung zum Einsatz Künstlicher Intelligenz im mittelständischen Anlagen-und Maschinenbau S Janböcke, B Ullmann, S Gergen BoD–Books on Demand, 2021 | | 2021 |
| New Insights into Turbo-Decoding-Based AVSR with Dynamic Stream Weights S Gergen, S Zeiler, A Hussen Abdelaziz, D Kolossa ITG-Fachtagung Sprachkommunikation, 2016 | | 2016 |
Anil NagathilInstitute of Communication Acoustics, Ruhr-Universität Bochum, GermanyBestätigte E-Mail-Adresse bei rub.de
