Noise adaptive stream weighting in audio-visual speech recognition M Heckmann, F Berthommier, K Kroschel EURASIP Journal on Applied Signal Processing 2002 (1), 1260-1273, 2002 | 151 | 2002 |
A survey of personalization for advanced driver assistance systems M Hasenjäger, M Heckmann, H Wersing IEEE Transactions on Intelligent Vehicles 5 (2), 335-344, 2019 | 150 | 2019 |
DCT-based video features for audio-visual speech recognition M Heckmann, K Kroschel, C Savariaux, F Berthommier Seventh International Conference on Spoken Language Processing, 2002 | 77 | 2002 |
Real-time sound localization with a binaural head-system using a biologically-inspired cue-triple mapping T Rodemann, M Heckmann, F Joublin, C Goerick, B Scholling Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on …, 2006 | 54 | 2006 |
A hierarchical framework for spectro-temporal feature extraction M Heckmann, X Domont, F Joublin, C Goerick Speech Communication 53 (5), 736-752, 2011 | 45 | 2011 |
Combining auditory preprocessing and bayesian estimation for robust formant tracking C Glaser, M Heckmann, F Joublin, C Goerick IEEE transactions on audio, speech, and language processing 18 (2), 224-236, 2009 | 44 | 2009 |
Hierarchical spectro-temporal features for robust speech recognition X Domont, M Heckmann, F Joublin, C Goerick Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE …, 2008 | 40 | 2008 |
Combining rate and place information for robust pitch extraction M Heckmann, F Joublin, C Goerick Eighth Annual Conference of the International Speech Communication Association, 2007 | 40 | 2007 |
A hybrid ANN/HMM audio-visual speech recognition system. M Heckmann, F Berthommier, K Kroschel AVSP, 189-194, 2001 | 35 | 2001 |
A maximum likelihood method for driver-specific critical-gap estimation D Orth, D Kolossa, MS Paja, K Schaller, A Pech, M Heckmann 2017 ieee intelligent vehicles symposium (iv), 553-558, 2017 | 34 | 2017 |
Auditory inspired binaural robust sound source localization in echoic and noisy environments M Heckmann, T Rodemann, F Joublin, C Goerick, B Scholling 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 33 | 2006 |
Subtractive cancellation of harmonic noise F Joublin, M Heckmann, B Schölling US Patent 7,453,963, 2008 | 28 | 2008 |
Optimal weighting of posteriors for audio-visual speech recognition M Heckmann, F Berthommier, K Kroschel Acoustics, Speech, and Signal Processing, 2001. Proceedings.(ICASSP'01 …, 2001 | 26 | 2001 |
Benefits of personalization in the context of a speech-based left-turn assistant D Orth, N Schömig, C Mark, M Jagiellowicz-Kaufmann, D Kolossa, ... Proceedings of the 9th international conference on automotive user …, 2017 | 25 | 2017 |
Learning a probabilistic error detection model for robotic systems R Golombek, S Wrede, M Hanheide, M Heckmann | 22* | 2010 |
System for autonomously or partially autonomously driving a vehicle with communication module for obtaining additional information from a vehicle driver and corresponding method M Heckmann, H Wersing US Patent 10,940,864, 2021 | 21 | 2021 |
Online data-driven fault detection for robotic systems R Golombek, S Wrede, M Hanheide, M Heckmann 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 20 | 2011 |
Listen to the parrot: Demonstrating the quality of online pitch and formant extraction via feature-based resynthesis M Heckmann, C Glaser, M Vaz, T Rodemann, F Joublin, C Goerick Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International …, 2008 | 20 | 2008 |
A closer look on hierarchical spectro-temporal features (HIST) M Heckmann, X Domont, F Joublin, C Goerick Ninth Annual Conference of the International Speech Communication Association, 2008 | 19 | 2008 |
“Please watch right”–Evaluation of a speech-based on-demand assistance system for urban intersections N Schoemig, M Heckmann, H Wersing, C Maag, A Neukum Transportation research part F: traffic psychology and behaviour 54, 196-210, 2018 | 18 | 2018 |